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ORCIDAndrzej Cichocki
Andrzej S. Cichocki
Person information
- affiliation: Riken Brain Science Institute, Wako, Japan
- affiliation: Polska Akademia, Warszawa, Poland
- affiliation: Warsaw University of Technology, Poland
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2020 – today
- 2025
[j285]Yixuan Zhou
, Peiyu Yang, Yi Qu, Xing Xu, Zhe Sun, Andrzej Cichocki:
AnoOnly: Semi-supervised anomaly detection with the only loss on anomalies. Expert Syst. Appl. 262: 125597 (2025)- [j284]Jing Jin, Xinjie He, Ren Xu, Ruiyu Zhao, Xin Long, Xingyu Wang, Andrzej Cichocki:
Cross-Stimulus Transfer Learning Framework Using Common Period Repetition Components for Fast Calibration of SSVEP-Based BCIs. IEEE Internet Things J. 12(5): 5719-5731 (2025) - [j283]Jing Jin, Xiao Wu, Ian Daly, Weijie Chen, Xinjie He, Xingyu Wang, Andrzej Cichocki:
Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials. IEEE Internet Things J. 12(5): 5822-5833 (2025) - [j282]Wei Liang, Brendan Z. Allison, Ren Xu, Xinjie He, Xingyu Wang, Andrzej Cichocki, Jing Jin:
SecNet: A second order neural network for MI-EEG. Inf. Process. Manag. 62(3): 104012 (2025) - [j281]Ruitian Xu, Brendan Z. Allison, Xueqing Zhao, Wei Liang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection. Neural Networks 184: 107124 (2025) - [j280]Jing Jin, Xueqing Zhao, Ian Daly, Shurui Li, Xingyu Wang, Andrzej Cichocki, Tzyy-Ping Jung:
A Growing Bubble Speller Paradigm for Brain-Computer Interface Based on Event-Related Potentials. IEEE Trans. Biomed. Eng. 72(3): 1188-1199 (2025) - [j279]Jing Jin, Weijie Chen, Ren Xu, Wei Liang, Xiao Wu, Xinjie He, Xingyu Wang, Andrzej Cichocki:
Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 29(1): 198-209 (2025) - 2024
- [j278]Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan V. Oseledets:
Corrections to "Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)". IEEE Access 12: 70742 (2024) - [j277]Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. IEEE Access 12: 197000-197020 (2024) - [j276]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection. Adv. Comput. Math. 50(2): 23 (2024) - [j275]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. J. Artif. Intell. Res. 81: 973-988 (2024) - [j274]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki:
A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes. J. Sci. Comput. 98(1): 23 (2024) - [j273]Shurui Li, Ian Daly, Cuntai Guan, Andrzej Cichocki, Jing Jin:
Inter-participant transfer learning with attention based domain adversarial training for P300 detection. Neural Networks 180: 106655 (2024) - [j272]Jing Jin, Xinjie He, Brendan Z. Allison, Ke Qin, Xingyu Wang, Andrzej Cichocki:
Leveraging Spatiotemporal Estimation for Online Adaptive Steady-State Visual Evoked Potential Recognition. IEEE Trans. Cogn. Dev. Syst. 16(6): 1943-1954 (2024) - [j271]Xinjie He, Brendan Z. Allison, Ke Qin, Wei Liang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition. IEEE Trans. Biomed. Eng. 71(11): 3071-3084 (2024) - [j270]Jing Jin, Ruitian Xu, Ian Daly, Xueqing Zhao, Xingyu Wang, Andrzej Cichocki:
MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces. IEEE Trans. Cybern. 54(9): 5565-5576 (2024) - [j269]Youshen Xia, Qingshan Liu, Jun Wang, Andrzej Cichocki:
A Survey of Neurodynamic Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2677-2696 (2024) - [j268]Ke Qin, Ren Xu, Xinjie He, Yutao Zhang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j267]Shenshen Li, Xing Xu, Xun Jiang, Fumin Shen, Zhe Sun, Andrzej Cichocki:
Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 165:1-165:22 (2024) - [j266]Wenfei Cao, Xia Chen, Shoucheng Yan, Zeyue Zhou, Andrzej Cichocki:
1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization. IEEE Trans. Signal Process. 72: 3487-3501 (2024) - [c281]Airat Kotliar-Shapirov, Sergei Gostilovich, Anastasia Sozykina, Anh Huy Phan, Andrzej Cichocki:
Granger Connectivity Analysis as a Block-Term Tensor Regression for eSport Players. ICASSP 2024: 3290-3294 - [i69]Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. CoRR abs/2406.00655 (2024) - [i68]Yixuan Zhou, Xing Xu, Zhe Sun, Jingkuan Song, Andrzej Cichocki, Heng Tao Shen:
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization. CoRR abs/2409.00942 (2024) - [i67]Salman Ahmadi-Asl, Valentin Leplat, Anh Huy Phan, Andrzej Cichocki:
Nonnegative Tensor Decomposition Via Collaborative Neurodynamic Optimization. CoRR abs/2411.18127 (2024) - 2023
- [j265]Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl, Zaher Al Aghbari, Andrzej Cichocki:
Image reconstruction using superpixel clustering and tensor completion. Signal Process. 212: 109158 (2023) - [j264]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang:
Fast cross tensor approximation for image and video completion. Signal Process. 213: 109121 (2023) - [j263]Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19(7): 8104-8115 (2023) - [j262]Jing Jin, Zhiqiang Wang, Ren Xu, Chang Liu, Xingyu Wang, Andrzej Cichocki:
Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4096-4105 (2023) - [j261]Hangjun Che, Jun Wang, Andrzej Cichocki:
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4881-4891 (2023) - [c280]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Ashish Jha, Anastasia Sozykina, Jun Wang, Ivan V. Oseledets:
Fast Adaptive Cross Tubal Tensor Approximation. SSP 2023: 552-556 - [i66]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection. CoRR abs/2305.00749 (2023) - [i65]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets:
Adaptive Cross Tubal Tensor Approximation. CoRR abs/2305.05030 (2023) - [i64]Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl, Zaher Al Aghbari, Andrzej Cichocki:
Image Reconstruction using Superpixel Clustering and Tensor Completion. CoRR abs/2305.09564 (2023) - [i63]Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev, Anh Huy Phan, Salman Ahmadi-Asl, Naveed Ahmed, Imran N. Junejo, Zaher Al Aghbari, Thar Baker, Ahmed Mohamed Khedr, Andrzej Cichocki:
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition. CoRR abs/2306.09822 (2023) - [i62]Farnaz Sedighin, Andrzej Cichocki, Hossein Rabbani:
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation. CoRR abs/2306.11750 (2023) - [i61]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. CoRR abs/2308.04595 (2023) - 2022
- [j260]Kahoko Takahashi, Zhe Sun, Jordi Solé-Casals, Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Hui-Hai Zhao, Shangkun Deng, Ruggero Micheletto:
Data augmentation for Convolutional LSTM based brain computer interface system. Appl. Soft Comput. 122: 108811 (2022) - [j259]Hangjun Che, Jun Wang, Andrzej Cichocki:
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154: 255-269 (2022) - [j258]Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13(4): 1941-1958 (2022) - [j257]Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. IEEE Trans. Cogn. Dev. Syst. 14(2): 348-365 (2022) - [j256]Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki:
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(3): 935-947 (2022) - [j255]Zhiqiang Wang, Jing Jin, Ren Xu, Chang Liu, Xingyu Wang, Andrzej Cichocki:
Efficient Spatial Filters Enhance SSVEP Target Recognition Based on Task-Related Component Analysis. IEEE Trans. Cogn. Dev. Syst. 14(3): 1119-1128 (2022) - [j254]Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li:
Multikernel Capsule Network for Schizophrenia Identification. IEEE Trans. Cybern. 52(6): 4741-4750 (2022) - [j253]Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j252]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1022-1036 (2022) - [j251]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3587-3597 (2022) - [c279]Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS 2022 - [i60]Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavský, Andrzej Cichocki:
How to Train Unstable Looped Tensor Network. CoRR abs/2203.02617 (2022) - [i59]Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR abs/2205.00293 (2022) - [i58]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation for Image and Video Completion. CoRR abs/2207.06072 (2022) - 2021
- [j250]Zhe Sun, Binghua Li, Feng Duan, Hao Jia, Shan Wang, Yu Liu, Andrzej Cichocki, Cesar F. Caiafa, Jordi Solé-Casals:
WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks. IEEE Access 9: 3165-3173 (2021) - [j249]Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD). IEEE Access 9: 28684-28706 (2021) - [j248]Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access 9: 150809-150838 (2021) - [j247]Ying Mao, Jing Jin, Shurui Li, Yangyang Miao, Andrzej Cichocki:
Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance. Comput. Intell. Neurosci. 2021: 6694310:1-6694310:10 (2021) - [j246]Andrzej Cichocki, Alexander P. Kuleshov:
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles. Comput. Intell. Neurosci. 2021: 8893795:1-8893795:21 (2021) - [j245]Farnaz Sedighin, Andrzej Cichocki:
Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition. Frontiers Artif. Intell. 4: 687176 (2021) - [j244]Ying Mao, Jing Jin, Ren Xu, Shurui Li, Yangyang Miao, Andrzej Cichocki:
The Influence of Visual Attention on The Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm. Int. J. Neural Syst. 31(4): 2150004:1-2150004:18 (2021) - [j243]Jing Jin, Hua Fang, Ian Daly, Ruocheng Xiao, Yangyang Miao, Xingyu Wang, Andrzej Cichocki:
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI. Int. J. Neural Syst. 31(7): 2150030:1-2150030:15 (2021) - [j242]Hao Sun, Jing Jin, Ren Xu, Andrzej Cichocki:
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain-Computer Interfaces. Int. J. Neural Syst. 31(9): 2150040:1-2150040:17 (2021) - [j241]Farnaz Sedighin, Andrzej Cichocki, Anh-Huy Phan:
Adaptive Rank Selection for Tensor Ring Decomposition. IEEE J. Sel. Top. Signal Process. 15(3): 454-463 (2021) - [j240]Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki:
Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions. IEEE J. Sel. Top. Signal Process. 15(3): 550-559 (2021) - [j239]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Maame G. Asante-Mensah, Mirfarid Musavian Ghazani, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized algorithms for fast computation of low rank tensor ring model. Mach. Learn. Sci. Technol. 2(1): 11001 (2021) - [j238]Maame G. Asante-Mensah, Salman Ahmadi-Asl, Andrzej Cichocki:
Matrix and tensor completion using tensor ring decomposition with sparse representation. Mach. Learn. Sci. Technol. 2(3): 35008 (2021) - [j237]Yichun Qiu, Guoxu Zhou, Yu Zhang, Andrzej Cichocki:
Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank. Multim. Tools Appl. 80(15): 22987-23007 (2021) - [j236]Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte:
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors 21(17): 5740 (2021) - [j235]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki:
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j234]Jing Jin, Ruocheng Xiao, Ian Daly, Yangyang Miao, Xingyu Wang, Andrzej Cichocki:
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4814-4825 (2021) - [c278]Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki:
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint. ACL/IJCNLP (Findings) 2021: 1674-1684 - [c277]Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong:
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) 2021: 5301-5311 - [c276]Anh-Huy Phan, Petr Tichavský, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Andrzej Cichocki:
Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices. ICASSP 2021: 4690-4694 - [c275]Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram:
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM 2021: 102-107 - [i57]Michele Nazareth da Costa, Romis Attux, Andrzej Cichocki, João M. T. Romano:
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data. CoRR abs/2101.09184 (2021) - [i56]Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets:
Meta-Solver for Neural Ordinary Differential Equations. CoRR abs/2103.08561 (2021) - [i55]Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li:
L3C-Stereo: Lossless Compression for Stereo Images. CoRR abs/2108.09422 (2021) - 2020
- [j233]Li Zhu, Chongwei Su, Jianhai Zhang, Gaochao Cui, Andrzej Cichocki, Changle Zhou, Junhua Li:
EEG-based approach for recognizing human social emotion perception. Adv. Eng. Informatics 46: 101191 (2020) - [j232]Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki:
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97(Part): 106756 (2020) - [j231]Zongmei Chen, Jing Jin, Ian Daly, Cili Zuo, Xingyu Wang, Andrzej Cichocki:
Effects of Visual Attention on Tactile P300 BCI. Comput. Intell. Neurosci. 2020: 6549189:1-6549189:11 (2020) - [j230]Qianqian Liu, Yong Jiao, Yangyang Miao, Cili Zuo, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA. Neurocomputing 378: 36-44 (2020) - [j229]Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki:
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32(11): 7097-7120 (2020) - [j228]Sidney R. Lehky, Anh Huy Phan, Andrzej Cichocki, Keiji Tanaka:
Face Representations via Tensorfaces of Various Complexities. Neural Comput. 32(2): 281-329 (2020) - [j227]Farnaz Sedighin, Andrzej Cichocki, Tatsuya Yokota, Qiquan Shi:
Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction. IEEE Signal Process. Lett. 27: 810-814 (2020) - [j226]Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020) - [j225]Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4622-4636 (2020) - [c274]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI 2020: 5758-5766 - [c273]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. ECCV (29) 2020: 522-539 - [c272]Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP 2020: 946-950 - [c271]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition. ICASSP 2020: 3917-3921 - [c270]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS 2020 - [i54]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Stanislav Abukhovich, Toshihisa Tanaka:
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD). CoRR abs/2001.07124 (2020) - [i53]Evgeny Ponomarev, Ivan V. Oseledets, Andrzej Cichocki:
Using Reinforcement Learning in the Algorithmic Trading Problem. CoRR abs/2002.11523 (2020) - [i52]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. CoRR abs/2002.12135 (2020) - [i51]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. CoRR abs/2003.05271 (2020) - [i50]Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. CoRR abs/2004.09222 (2020) - [i49]Andrzej Cichocki:
On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face? CoRR abs/2008.04793 (2020) - [i48]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network. CoRR abs/2008.05441 (2020) - [i47]Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. CoRR abs/2011.11128 (2020) - [i46]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR abs/2012.06813 (2020)
2010 – 2019
- 2019
- [j224]Zhiwen Zhang, Feng Duan, Jordi Solé-Casals, Josep Dinarès-Ferran, Andrzej Cichocki, Zhenglu Yang, Zhe Sun:
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals. IEEE Access 7: 15945-15954 (2019) - [j223]Jiankui Feng, Jing Jin, Ian Daly, Jiale Zhou, Yugang Niu, Xingyu Wang, Andrzej Cichocki:
An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System. Comput. Intell. Neurosci. 2019: 8068357:1-8068357:10 (2019) - [j222]Miaoji Guo, Jing Jin, Yong Jiao, Xingyu Wang, Andrzej Cichocki:
Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface. Frontiers Comput. Neurosci. 13: 24 (2019) - [j221]Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22(3): 280-300 (2019) - [j220]Qiang Wu, Yu Zhang, Ju Liu, Jiande Sun, Andrzej Cichocki, Feng Gao:
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface. Int. J. Neural Syst. 29(6): 1950002:1-1950002:15 (2019) - [j219]Jing Jin, Yangyang Miao, Ian Daly, Cili Zuo, Dewen Hu, Andrzej Cichocki:
Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks 118: 262-270 (2019) - [j218]Li Zhu, Gaochao Cui, Jianting Cao, Andrzej Cichocki, Jianhai Zhang, Changle Zhou:
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features. Sensors 19(6): 1342 (2019) - [j217]Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki:
Sensitivity in Tensor Decomposition. IEEE Signal Process. Lett. 26(11): 1653-1657 (2019) - [j216]Danilo P. Mandic, Petar M. Djuric, Andrzej Cichocki, Clive Cheong Took, Saeid Sanei, Lajos Hanzo:
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]. IEEE Signal Process. Mag. 36(5): 127-134 (2019) - [j215]Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki:
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern. 49(3): 1110-1122 (2019) - [j214]Yu Zhang, Chang S. Nam, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Trans. Cybern. 49(9): 3322-3332 (2019) - [j213]Yong Jiao, Yu Zhang, Xun Chen, Erwei Yin, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Sparse Group Representation Model for Motor Imagery EEG Classification. IEEE J. Biomed. Health Informatics 23(2): 631-641 (2019) - [j212]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound. IEEE Trans. Signal Process. 67(5): 1175-1190 (2019) - [c269]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - [c268]Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166 - [c267]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576 - [c266]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring-structured Networks. ICASSP 2019: 8608-8612 - [c265]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets:
Automated Multi-Stage Compression of Neural Networks. ICCV Workshops 2019: 2501-2508 - [i45]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki:
One time is not enough: iterative tensor decomposition for neural network compression. CoRR abs/1903.09973 (2019) - [i44]Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li:
Multi-Kernel Capsule Network for Schizophrenia Identification. CoRR abs/1907.12827 (2019) - [i43]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". CoRR abs/1908.02995 (2019) - [i42]Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan V. Oseledets:
Reduced-Order Modeling of Deep Neural Networks. CoRR abs/1910.06995 (2019) - [i41]Kim Batselier, Andrzej Cichocki, Ngai Wong:
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. CoRR abs/1912.09775 (2019) - 2018
- [j211]Xiaowen Xu, Qiang Wu, Shuo Wang, Ju Liu, Jiande Sun, Andrzej Cichocki:
Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network. IEEE Access 6: 29297-29305 (2018) - [j210]Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. IEEE Access 6: 58096-58105 (2018) - [j209]Jordi Solé-Casals, Cesar Federico Caiafa, Qibin Zhao, Andrzej Cichocki:
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. Cogn. Comput. 10(6): 1062-1074 (2018) - [j208]Rubén Martín-Clemente, Javier Olias, Deepa Beeta Thiyam, Andrzej Cichocki, Sergio Cruces:
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison. Entropy 20(1): 7 (2018) - [j207]Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin, Bei Wang, Xingyu Wang, Andrzej Cichocki:
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces. Expert Syst. Appl. 96: 302-310 (2018) - [j206]Namgil Lee, Andrzej Cichocki:
Fundamental tensor operations for large-scale data analysis using tensor network formats. Multidimens. Syst. Signal Process. 29(3): 921-960 (2018) - [j205]Jiankui Feng, Erwei Yin, Jing Jin, Rami Saab, Ian Daly, Xingyu Wang, Dewen Hu, Andrzej Cichocki:
Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks 102: 87-95 (2018) - [j204]Wenfei Cao, Kaidong Wang, Guodong Han, Jing Yao, Andrzej Cichocki:
A Robust PCA Approach With Noise Structure Learning and Spatial-Spectral Low-Rank Modeling for Hyperspectral Image Restoration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3863-3879 (2018) - [c264]Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-Independent EEG Identification via Low-Rank Matrix Decomposition. BIBM 2018: 412-419 - [c263]Andrzej Cichocki:
Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning. Advances in Data Analysis with Computational Intelligence Methods 2018: 3-49 - [c262]Aurélien Appriou, Andrzej Cichocki, Fabien Lotte:
Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals. CHI Extended Abstracts 2018 - [c261]Li Zhu, Fabien Lotte, Gaochao Cui, Junhua Li, Changle Zhou, Andrzej Cichocki:
Neural Mechanisms of Social Emotion Perception: An EEG Hyper-Scanning Study. CW 2018: 199-206 - [c260]Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic:
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? ICASSP 2018: 6299-6303 - [c259]Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev:
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops 2018: 308-314 - [c258]Maame G. Asante-Mensah, Andrzej Cichocki:
Medical Image De-noising Using Deep Networks. ICDM Workshops 2018: 315-319 - [c257]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. ICLR (Workshop) 2018 - [i40]Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. CoRR abs/1803.07226 (2018) - [i39]Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR abs/1809.00535 (2018) - 2017
- [j203]Deepa Beeta Thiyam, Sergio Cruces, Javier Olias, Andrzej Cichocki:
Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements. Entropy 19(3): 89 (2017) - [j202]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [j201]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2230-2237 (2017) - [j200]Yu Zhang, Guoxu Zhou, Jing Jin, Yangsong Zhang, Xingyu Wang, Andrzej Cichocki:
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition. Neurocomputing 225: 103-110 (2017) - [j199]Maolin Che, Andrzej Cichocki, Yimin Wei:
Neural networks for computing best rank-one approximations of tensors and its applications. Neurocomputing 267: 114-133 (2017) - [j198]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Numerical CP decomposition of some difficult tensors. J. Comput. Appl. Math. 317: 362-370 (2017) - [j197]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Non-orthogonal tensor diagonalization. Signal Process. 138: 313-320 (2017) - [j196]Junhua Li, Chao Li, Andrzej Cichocki:
Canonical Polyadic Decomposition With Auxiliary Information for Brain-Computer Interface. IEEE J. Biomed. Health Informatics 21(1): 263-271 (2017) - [j195]Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang:
Rate of Convergence of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1276-1289 (2017) - [j194]Tatsuya Yokota, Namgil Lee, Andrzej Cichocki:
Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria. IEEE Trans. Signal Process. 65(5): 1196-1206 (2017) - [j193]Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki:
Erratum: Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy. J. Signal Process. Syst. 88(3): 469 (2017) - [c256]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Under-Determined tensor diagonalization for decomposition of difficult tensors. CAMSAP 2017: 1-4 - [c255]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization. LVA/ICA 2017: 36-46 - [c254]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Partitioned Hierarchical alternating least squares algorithm for CP tensor decomposition. ICASSP 2017: 2542-2546 - [c253]Anh Huy Phan, Masao Yamagishi, Andrzej Cichocki:
An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4. ICASSP 2017: 2547-2551 - [c252]Gaochao Cui, Li Zhu, Qibin Zhao, Jianting Cao, Andrzej Cichocki:
A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma. ICONIP (4) 2017: 589-595 - [c251]Junhua Li, Chao Li, Nitish V. Thakor, Andrzej Cichocki, Anastasios Bezerianos:
A new perspective of noise removal from EEG. NER 2017: 501-504 - [i38]Qibin Zhao, Masashi Sugiyama, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. CoRR abs/1705.08286 (2017) - [i37]Jing Jin, Brendan Z. Allison, Yu Zhang, Yan Chen, Sijie Zhou, Yi Dong, Xingyu Wang, Andrzej Cichocki:
Continuous use of ERP-based BCIs with different visual angles in ALS patients. CoRR abs/1706.09089 (2017) - [i36]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - [i35]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Best Rank-One Tensor Approximation and Parallel Update Algorithm for CPD. CoRR abs/1709.08336 (2017) - [i34]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Error Preserving Correction for CPD and Bounded-Norm CPD. CoRR abs/1709.08349 (2017) - 2016
- [j192]Long Chen, Jing Jin, Ian Daly, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs. Frontiers Comput. Neurosci. 10: 5 (2016) - [j191]Sijie Zhou, Brendan Z. Allison, Andrea Kübler, Andrzej Cichocki, Xingyu Wang, Jing Jin:
Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI. Frontiers Comput. Neurosci. 10: 105 (2016) - [j190]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j189]Yu Zhang, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki, Xingyu Wang:
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation. Neurocomputing 198: 148-154 (2016) - [j188]Zhaoyang Qiu, Jing Jin, Hak-Keung Lam, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
Improved SFFS method for channel selection in motor imagery based BCI. Neurocomputing 207: 519-527 (2016) - [j187]Mathias Baumert, Alberto Porta, Andrzej Cichocki:
Biomedical Signal Processing: From a Conceptual Framework to Clinical Applications [Scanning the Issue]. Proc. IEEE 104(2): 220-222 (2016) - [j186]Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki:
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. Proc. IEEE 104(2): 310-331 (2016) - [j185]Namgil Lee, Andrzej Cichocki:
Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions. SIAM J. Matrix Anal. Appl. 37(2): 598-623 (2016) - [j184]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition. IEEE Signal Process. Lett. 23(7): 993-997 (2016) - [j183]Junhua Li, Yijun Wang, Liqing Zhang, Andrzej Cichocki, Tzyy-Ping Jung:
Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks. IEEE Trans. Cogn. Dev. Syst. 8(4): 298-308 (2016) - [j182]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Trans. Image Process. 25(9): 4075-4090 (2016) - [j181]Zhigang Zeng, Andrzej Cichocki, Long Cheng, Youshen Xia, Xiaolin Hu:
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. IEEE Trans. Neural Networks Learn. Syst. 27(2): 210-213 (2016) - [j180]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. 27(4): 736-748 (2016) - [j179]Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki:
Sparse Bayesian Classification of EEG for Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2256-2267 (2016) - [j178]Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic:
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2426-2439 (2016) - [j177]Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki:
Smooth PARAFAC Decomposition for Tensor Completion. IEEE Trans. Signal Process. 64(20): 5423-5436 (2016) - [c250]Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki:
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. AAAI 2016: 1673-1679 - [c249]Gaochao Cui, Lihua Gui, Qibin Zhao, Andrzej Cichocki, Jianting Cao:
Bayesian CP factorization of incomplete tensor for EEG signal application. FUZZ-IEEE 2016: 2170-2173 - [c248]Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. ICASSP 2016: 819-823 - [c247]Tatsuya Yokota, Andrzej Cichocki:
Tensor completion via functional smooth component deflation. ICASSP 2016: 2514-2518 - [c246]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition. ICASSP 2016: 2549-2553 - [c245]Lihua Gui, Gaochao Cui, Qibin Zhao, Dongsheng Wang, Andrzej Cichocki, Jianting Cao:
Video denoising using low rank tensor decomposition. ICMV 2016: 103410V - [c244]Namgil Lee, Anh Huy Phan, Fengyu Cong, Andrzej Cichocki:
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. ICONIP (3) 2016: 87-95 - [c243]Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki:
Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation. ICONIP (1) 2016: 138-146 - [c242]Tom Stewart, Kiyoshi Hoshino, Andrzej Cichocki, Tomasz M. Rutkowski:
Motor Priming as a Brain-Computer Interface. ICONIP (2) 2016: 538-545 - [c241]Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki:
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. MLSP 2016: 1-6 - [i33]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Numerical CP Decomposition of Some Difficult Tensors. CoRR abs/1603.01372 (2016) - [i32]Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
Tensor Ring Decomposition. CoRR abs/1606.05535 (2016) - [i31]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - [i30]Anh Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, Gheorghe Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition. CoRR abs/1609.09230 (2016) - [i29]Zhaoyang Qiu, Brendan Z. Allison, Jing Jin, Yu Zhang, Xingyu Wang, Wei Li, Andrzej Cichocki:
Optimized motor imagery paradigm based on imagining Chinese characters writing movement. CoRR abs/1609.09578 (2016) - 2015
- [j176]Kazuko Hiyoshi-Taniguchi, M. Kawasaki, Tatsuya Yokota, Hovagim Bakardjian, Hironori Fukuyama, Andrzej Cichocki, François B. Vialatte:
EEG Correlates of Voice and Face Emotional Judgments in the Human Brain. Cogn. Comput. 7(1): 11-19 (2015) - [j175]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. Entropy 17(5): 2988-3034 (2015) - [j174]Jing Jin, Eric W. Sellers, Sijie Zhou, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm. Int. J. Neural Syst. 25(3): 1550011:1-1550011:12 (2015) - [j173]Junhua Li, Zbigniew R. Struzik, Liqing Zhang, Andrzej Cichocki:
Feature learning from incomplete EEG with denoising autoencoder. Neurocomputing 165: 23-31 (2015) - [j172]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1751-1763 (2015) - [j171]Namgil Lee, Andrzej Cichocki:
Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format. SIAM J. Matrix Anal. Appl. 36(3): 994-1014 (2015) - [j170]Tatsuya Yokota, Rafal Zdunek, Andrzej Cichocki, Yukihiko Yamashita:
Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis. Signal Process. 113: 234-249 (2015) - [j169]Bo Li, Guoxu Zhou, Andrzej Cichocki:
Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 22(7): 843-846 (2015) - [j168]Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan:
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2): 145-163 (2015) - [j167]Auxiliadora Sarmiento, Iván Durán-Díaz, Andrzej Cichocki, Sergio Cruces:
A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1713-1726 (2015) - [j166]Jiaxin Ma, Yu Zhang, Andrzej Cichocki, Fumitoshi Matsuno:
A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control. IEEE Trans. Biomed. Eng. 62(3): 876-889 (2015) - [j165]Tianyou Yu, Jun Xiao, Fangyi Wang, Rui Zhang, Zhenghui Gu, Andrzej Cichocki, Yuanqing Li:
Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback. IEEE Trans. Biomed. Eng. 62(7): 1706-1717 (2015) - [j164]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. 24(12): 4990-5003 (2015) - [j163]Kan Xie, Zhaoshui He, Andrzej Cichocki:
Convergence Analysis of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(3): 601-613 (2015) - [j162]Cesar F. Caiafa, Andrzej Cichocki:
Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections. IEEE Trans. Signal Process. 63(3): 780-793 (2015) - [j161]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm. IEEE Trans. Signal Process. 63(22): 5924-5938 (2015) - [j160]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis. IEEE Trans. Signal Process. 63(22): 5939-5950 (2015) - [c240]Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo:
Multi-tensor Completion with Common Structures. AAAI 2015: 2743-2749 - [c239]Tatsuya Yokota, Andrzej Cichocki:
A fast automatic low-rank determination algorithm for noisy matrix completion. APSIPA 2015: 43-46 - [c238]C.-Y. Chiang, Andrzej Cichocki, Shobha Erramilli, K. McInerney, David Shur, Shoshana Loeb:
Prediction of online game performance degradation under network impairments. CCNC 2015: 720-725 - [c237]Wei Chen, Chia-Ping Shen, Ming-Jang Chiu, Qibin Zhao, Andrzej Cichocki, Jeng-Wei Lin, Feipei Lai:
Epileptic EEG visualization and sonification based on linear discriminate analysis. EMBC 2015: 4466-4469 - [c236]Petr Tichavský, Anh Huy Phan, Andrzej S. Cichocki:
Two-sided diagonalization of order-three tensors. EUSIPCO 2015: 993-997 - [c235]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Rank Splitting for CANDECOMP/PARAFAC. LVA/ICA 2015: 31-40 - [c234]Guoxu Zhou, Andrzej Cichocki, Danilo P. Mandic:
Common components analysis via linked blind source separation. ICASSP 2015: 2150-2154 - [c233]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Low rank tensor deconvolution. ICASSP 2015: 2169-2173 - [c232]Tomasz M. Rutkowski, Kensuke Shimizu, Takumi Kodama, Peter Jurica, Andrzej Cichocki:
Brain-Robot Interfaces Using Spatial Tactile BCI Paradigms - Symbiotic Brain-Robot Applications. Symbiotic 2015: 132-137 - [i28]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. CoRR abs/1503.01868 (2015) - [i27]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion. CoRR abs/1505.02343 (2015) - [i26]Tatsuya Yokota, Qibin Zhao, Chao Li, Andrzej Cichocki:
Smooth PARAFAC Decomposition for Tensor Completion. CoRR abs/1505.06611 (2015) - [i25]Namgil Lee, Andrzej Cichocki:
Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions. CoRR abs/1506.01959 (2015) - [i24]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting. CoRR abs/1506.04971 (2015) - [i23]Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki:
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data. CoRR abs/1508.07416 (2015) - 2014
- [j159]Zhaohui Wu, Gang Pan, José Carlos Príncipe, Andrzej Cichocki:
Cyborg Intelligence: Towards Bio-Machine Intelligent Systems. IEEE Intell. Syst. 29(6): 2-4 (2014) - [j158]Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki:
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface. Int. J. Neural Syst. 24(1) (2014) - [j157]Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis. Int. J. Neural Syst. 24(4) (2014) - [j156]Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. 24(8) (2014) - [j155]Jing Jin, Brendan Z. Allison, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions. Int. J. Neural Syst. 24(8) (2014) - [j154]Qiang Wu, Liqing Zhang, Andrzej Cichocki:
Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition. Neurocomputing 129: 17-24 (2014) - [j153]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. IEEE Signal Process. Mag. 31(3): 54-65 (2014) - [j152]Yunjun Nam, Bonkon Koo, Andrzej Cichocki, Seungjin Choi:
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control. IEEE Trans. Biomed. Eng. 61(2): 453-462 (2014) - [j151]Yohei Tomita, François-Benoît Vialatte, Gérard Dreyfus, Yasue Mitsukura, Hovagim Bakardjian, Andrzej Cichocki:
Bimodal BCI Using Simultaneously NIRS and EEG. IEEE Trans. Biomed. Eng. 61(4): 1274-1284 (2014) - [j150]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances. WIREs Data Mining Knowl. Discov. 4(2): 104-115 (2014) - [c231]Motoaki Mouri, Ichi Takumi, Hiroshi Yasukawa, Andrzej Cichocki:
Revising algorithm for nonnegative matrix factorization based on minimizing quasi-L1 norm. APCCAS 2014: 767-770 - [c230]Rafal Zdunek, Andrzej Cichocki, Tatsuya Yokota:
B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization. ICAISC (2) 2014: 72-81 - [c229]Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Extracting commuting patterns in railway networks through matrix decompositions. ICARCV 2014: 541-546 - [c228]Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Predicting traffic speed in urban transportation subnetworks for multiple horizons. ICARCV 2014: 547-552 - [c227]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki:
Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP 2014: 1265-1269 - [c226]Jing Jin, Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
Synchrony analysis of paroxysmal gamma waves in meditation EEG. ICASSP 2014: 4703-4707 - [c225]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Deflation method for CANDECOMP/PARAFAC tensor decomposition. ICASSP 2014: 6736-6740 - [c224]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský:
On Fast algorithms for orthogonal Tucker decomposition. ICASSP 2014: 6766-6770 - [c223]Cesar Federico Caiafa, Andrzej Cichocki:
Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements. ICASSP 2014: 6790-6794 - [c222]Tatsuya Yokota, Andrzej Cichocki:
Linked Tucker2 Decomposition for Flexible Multi-block Data Analysis. ICONIP (3) 2014: 111-118 - [c221]Junhua Li, Andrzej Cichocki:
Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG. ICONIP (1) 2014: 503-510 - [c220]Qiang Wu, Ju Liu, Feng-rong Sun, Jie Li, Andrzej Cichocki:
Nonnegative Shifted Tensor Factorization in time frequency domain. IJCNN 2014: 3009-3014 - [c219]Namgil Lee, Andrzej Cichocki:
Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition. ISNN 2014: 121-130 - [c218]Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki:
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN 2014: 459-468 - [c217]Gaochao Cui, Qibin Zhao, Jianting Cao, Andrzej Cichocki:
Hybrid-BCI: Classification of auditory and visual related potentials. SCIS&ISIS 2014: 297-300 - [c216]Tatsuya Yokota, Andrzej Cichocki:
Multilinear tensor rank estimation via Sparse Tucker Decomposition. SCIS&ISIS 2014: 478-483 - [c215]Chao Li, Lili Guo, Andrzej Cichocki:
Multi-tensor completion for estimating missing values in video data. SCIS&ISIS 2014: 1339-1342 - [i22]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. CoRR abs/1401.6497 (2014) - [i21]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Tensor diagonalization - a new tool for PARAFAC and block-term decomposition. CoRR abs/1402.1673 (2014) - [i20]Andrzej Cichocki:
Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions. CoRR abs/1403.2048 (2014) - [i19]Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer:
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR abs/1403.4462 (2014) - [i18]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR abs/1404.4412 (2014) - [i17]Namgil Lee, Andrzej Cichocki:
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats. CoRR abs/1405.7786 (2014) - [i16]Cesar F. Caiafa, Andrzej Cichocki:
Stable, Robust and Super Fast Reconstruction of Tensors Using Multi-Way Projections. CoRR abs/1406.3295 (2014) - [i15]Andrzej Cichocki:
Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems. CoRR abs/1407.3124 (2014) - [i14]Chao Li, Lili Guo, Andrzej Cichocki:
Multi-tensor Completion for Estimating Missing Values in Video Data. CoRR abs/1409.0347 (2014) - [i13]Junhua Li, Zbigniew R. Struzik, Liqing Zhang, Andrzej Cichocki:
Feature Learning from Incomplete EEG with Denoising Autoencoder. CoRR abs/1410.0818 (2014) - [i12]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR abs/1410.2386 (2014) - [i11]Junhua Li, Chao Li, Andrzej Cichocki:
Canonical Polyadic Decomposition with Assistant Information for Brain Computer Interface. CoRR abs/1410.6313 (2014) - [i10]Namgil Lee, Andrzej Cichocki:
Very Large-Scale Singular Value Decomposition Using Tensor Train Networks. CoRR abs/1410.6895 (2014) - [i9]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Decomposition of Big Tensors With Low Multilinear Rank. CoRR abs/1412.1885 (2014) - [i8]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. CoRR abs/1412.7146 (2014) - 2013
- [j149]Ante Jukic, Ivica Kopriva, Andrzej Cichocki:
Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. Biomed. Signal Process. Control. 8(6): 755-763 (2013) - [j148]Abhijit Mandal, Andrzej Cichocki:
Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence. Entropy 15(7): 2788-2804 (2013) - [j147]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Qiang Wu, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. Int. J. Neural Syst. 23(2) (2013) - [j146]Cesar F. Caiafa, Andrzej Cichocki:
Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. Neural Comput. 25(1): 186-220 (2013) - [j145]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1660-1673 (2013) - [j144]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC. SIAM J. Matrix Anal. Appl. 34(1): 126-147 (2013) - [j143]Zbynek Koldovský, Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
A Two-Stage MMSE Beamformer for Underdetermined Signal Separation. IEEE Signal Process. Lett. 20(12): 1227-1230 (2013) - [j142]Saeid Sanei, Saideh Ferdowsi, Kianoush Nazarpour, Andrzej Cichocki:
Advances in Electroencephalography Signal Processing [Life Sciences]. IEEE Signal Process. Mag. 30(1): 170-176 (2013) - [j141]Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki:
Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data. IEEE Signal Process. Mag. 30(4): 137-148 (2013) - [j140]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions. IEEE J. Biomed. Health Informatics 17(3): 708-714 (2013) - [j139]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Accelerated Canonical Polyadic Decomposition Using Mode Reduction. IEEE Trans. Neural Networks Learn. Syst. 24(12): 2051-2062 (2013) - [j138]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations. IEEE Trans. Signal Process. 61(19): 4834-4846 (2013) - [j137]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping. IEEE Trans. Signal Process. 61(19): 4847-4860 (2013) - [j136]Cesar F. Caiafa, Andrzej Cichocki:
Multidimensional compressed sensing and their applications. WIREs Data Mining Knowl. Discov. 3(6): 355-380 (2013) - [c214]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. AAAI 2013: 1041-1047 - [c213]Gaochao Cui, Yunchao Yin, Qibin Zhao, Andrzej Cichocki, Jianting Cao:
Patients' consciousness analysis using dynamic approximate entropy and MEMD method. APSIPA 2013: 1-5 - [c212]Mehran Amadlou, Kazuko Hiyoshi-Taniguchi, Jordi Solé-Casals, Hironori Fukuyama, Andrzej Cichocki, François-Benoît Vialatte:
Differences of Functional Connectivity Brain Network in Emotional Judgment. BIOSIGNALS 2013: 276-279 - [c211]Yunjun Nam, Andrzej Cichocki, Seungjin Choi:
Common spatial patterns for steady-state somatosensory evoked potentials. EMBC 2013: 2255-2258 - [c210]Ante Jukic, Ivica Kopriva, Andrzej Cichocki:
Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles. EUSIPCO 2013: 1-5 - [c209]Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
GNMF with Newton-Based Methods. ICANN 2013: 90-97 - [c208]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Rafal Zdunek, Sidney R. Lehky:
From basis components to complex structural patterns. ICASSP 2013: 3228-3232 - [c207]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Gheorghe Luta, Austin J. Brockmeier:
Tensor completion throughmultiple Kronecker product decomposition. ICASSP 2013: 3233-3237 - [c206]Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki:
Kernel-based tensor partial least squares for reconstruction of limb movements. ICASSP 2013: 3577-3581 - [c205]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition. ICASSP 2013: 5964-5968 - [c204]Austin J. Brockmeier, José C. Príncipe, Anh Huy Phan, Andrzej Cichocki:
A greedy algorithm for model selection of tensor decompositions. ICASSP 2013: 6113-6117 - [c203]Chung-Min Chen, Andrzej Cichocki, Allen McIntosh, Euthimios Panagos:
Privacy-protecting index for outsourced databases. ICDE Workshops 2013: 83-87 - [c202]Junhua Li, Zbigniew R. Struzik, Liqing Zhang, Andrzej Cichocki:
Spectral Power Estimation for Unevenly Spaced Motor Imagery Data. ICONIP (1) 2013: 168-175 - [c201]Jiaxin Ma, Yu Zhang, Yunjun Nam, Andrzej Cichocki, Fumitoshi Matsuno:
EOG/ERP hybrid human-machine interface for robot control. IROS 2013: 859-864 - [i7]Andrzej Cichocki:
Tensor Decompositions: A New Concept in Brain Data Analysis? CoRR abs/1305.0395 (2013) - 2012
- [j135]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Tiina Huttunen-Scott, Jukka Kaartinen, Tapani Ristaniemi, Heikki Lyytinen, Andrzej Cichocki:
Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array. Int. J. Neural Syst. 22(6) (2012) - [j134]Anh Huy Phan, Andrzej Cichocki:
Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations - A novel recursive solution for nonnegative quadratic programming and NTF. Neural Comput. Appl. 21(4): 623-637 (2012) - [j133]Justin Dauwels, Theophane Weber, François B. Vialatte, Toshimitsu Musha, Andrzej Cichocki:
Quantifying Statistical Interdependence, Part III: N > 2 Point Processes. Neural Comput. 24(2): 408-454 (2012) - [j132]Guoxu Zhou, Andrzej Cichocki:
Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation. IEEE Signal Process. Lett. 19(8): 523-526 (2012) - [j131]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. 59(1): 290-299 (2012) - [j130]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation. IEEE Trans. Signal Process. 60(6): 2928-2940 (2012) - [c200]Qibin Zhao, Liqing Zhang, Jianting Cao, Andrzej Cichocki:
Higher-order PLS for classification of ERPs with application to BCIs. APSIPA 2012: 1-5 - [c199]Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki:
Canonical Polyadic Decomposition: From 3-way to N-Way. CIS 2012: 391-395 - [c198]Esteve Gallego-Jutglà, Mohamed Elgendi, François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. EMBC 2012: 4266-4270 - [c197]Marko Filipovic, Ivica Kopriva, Andrzej Cichocki:
Inpainting color images in learned dictionary. EUSIPCO 2012: 66-70 - [c196]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Asoke K. Nandi, Vinoo Alluri, Petri Toiviainen, Hanna Poikonen, Minna Huotilainen, Andrzej Cichocki, Tapani Ristaniemi:
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. EUSIPCO 2012: 494-498 - [c195]Zbynek Koldovský, Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
A treatment of EEG data by underdetermined blind source separation for motor imagery classification. EUSIPCO 2012: 1484-1488 - [c194]Fengyu Cong, Asoke K. Nandi, Zhaoshui He, Andrzej Cichocki, Tapani Ristaniemi:
Fast and effective model order selection method to determine the number of sources in a linear transformation model. EUSIPCO 2012: 1870-1874 - [c193]Yu Zhang, Qibin Zhao, Guoxu Zhou, Xingyu Wang, Andrzej Cichocki:
Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. FSKD 2012: 891-895 - [c192]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Zbynek Koldovský:
On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations. LVA/ICA 2012: 288-296 - [c191]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka:
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. LVA/ICA 2012: 297-305 - [c190]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. LVA/ICA 2012: 502-510 - [c189]Akinari Onishi, Anh Huy Phan, Kiyotoshi Matsuoka, Andrzej Cichocki:
Tensor classification for P300-based brain computer interface. ICASSP 2012: 581-584 - [c188]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Multi-channel EEG compression based on 3D decompositions. ICASSP 2012: 637-640 - [c187]Hiroshi Higashi, Andrzej Cichocki, Toshihisa Tanaka:
Regularization using geometric information between sensors capturing features from brain signals. ICASSP 2012: 721-724 - [c186]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki, Zbynek Koldovský:
Low-rank blind nonnegative matrix deconvolution. ICASSP 2012: 1893-1896 - [c185]Cesar F. Caiafa, Andrzej Cichocki:
Block sparse representations of tensors using Kronecker bases. ICASSP 2012: 2709-2712 - [c184]Tatsuya Yokota, Andrzej Cichocki, Yukihiko Yamashita:
Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis. ICONIP (3) 2012: 84-91 - [c183]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki:
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. ICONIP (3) 2012: 166-173 - [c182]Esteve Gallego-Jutglà, Tomasz M. Rutkowski, Andrzej Cichocki, Jordi Solé-Casals:
EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition. IJCCI 2012: 670-676 - [c181]Jaroslav Rokicki, Kazuko Hiyoshi, François-Benoît Vialatte, Andrius Usinskas, Andrzej Cichocki:
Early Alzheimer's Disease Progression Detection using Multi-subnetworks of the Brain. IJCCI 2012: 684-691 - [c180]Kazuko Hiyoshi-Taniguchi, M. Kawasaki, Tatsuya Yokota, Hovagim Bakardjian, Hironori Fukuyama, François B. Vialatte, Andrzej Cichocki:
EEG Beta Range Dynamics and Emotional Judgments of Face and Voices. IJCCI 2012: 738-740 - [c179]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
Non-linear filter based outer product expansion with reference signal for EEG analysis. ISCAS 2012: 345-348 - [c178]Fengyu Cong, Guoxu Zhou, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki:
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP 2012: 1-6 - [e1]Fabian J. Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky:
Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings. Lecture Notes in Computer Science 7191, Springer 2012, ISBN 978-3-642-28550-9 [contents] - [i6]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms. CoRR abs/1204.1586 (2012) - [i5]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC. CoRR abs/1205.2584 (2012) - [i4]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method. CoRR abs/1207.1230 (2012) - [i3]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Accelerated Canonical Polyadic Decomposition by Using Mode Reduction. CoRR abs/1211.3500 (2012) - [i2]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
CANDECOMP/PARAFAC Decomposition of High-order Tensors Through Tensor Reshaping. CoRR abs/1211.3796 (2012) - [i1]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Common and Individual Features Analysis: Beyond Canonical Correlation Analysis. CoRR abs/1212.3913 (2012) - 2011
- [j129]Tomasz M. Rutkowski, Andrzej Cichocki, Danilo P. Mandic, Toyoaki Nishida:
Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach. AI Soc. 26(3): 301-315 (2011) - [j128]Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, Jianting Cao, Danilo P. Mandic:
Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms. Comput. Hum. Behav. 27(5): 1512-1518 (2011) - [j127]Fabio Babiloni, Andrzej Cichocki, Saeid Sanei, Laura Astolfi, Febo Cincotti, Sara González Andino:
Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing. Comput. Intell. Neurosci. 2011: 913040:1-913040:3 (2011) - [j126]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. Entropy 13(1): 134-170 (2011) - [j125]Sergio Cruces, Andrzej Cichocki:
Comment on "Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition". Neurocomputing 74(5): 863-865 (2011) - [j124]Anh Huy Phan, Andrzej Cichocki:
Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification. Neurocomputing 74(11): 1956-1969 (2011) - [j123]Anh Huy Phan, Andrzej Cichocki:
PARAFAC algorithms for large-scale problems. Neurocomputing 74(11): 1970-1984 (2011) - [j122]Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki:
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. IEEE Trans. Neural Networks 22(12): 2117-2131 (2011) - [c177]Hiroshi Higashi, Tomasz M. Rutkowski, Yoshikazu Washizawa, Andrzej Cichocki, Toshihisa Tanaka:
EEG auditory steady state responses classification for the novel BCI. EMBC 2011: 4576-4579 - [c176]Mohamed Elgendi, François B. Vialatte, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. EMBC 2011: 6087-6091 - [c175]Thomas Villmann, José C. Príncipe, Andrzej Cichocki:
Information theory related learning. ESANN 2011 - [c174]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
A saccade-related noise reduction in EEG signals using outer product expansion with reference signal. EUSIPCO 2011: 1559-1563 - [c173]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Multi-channel EEG compression based on matrix and tensor decompositions. ICASSP 2011: 629-632 - [c172]Anh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka, Jianting Cao:
Novel hierarchical ALS algorithm for nonnegative tensor factorization. ICASSP 2011: 1984-1987 - [c171]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization. ICASSP 2011: 1988-1991 - [c170]Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, Andrzej Cichocki:
A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli. ICONIP (1) 2011: 279-286 - [c169]Yu Zhang, Guoxu Zhou, Qibin Zhao, Akinari Onishi, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. ICONIP (1) 2011: 287-295 - [c168]Arao Funase, Andrzej Cichocki, Ichi Takumi:
Research on Relationship between Saccadic Eye Movements and EEG Signals in the Case of Free Movements and Cued Movements. ICONIP (1) 2011: 322-328 - [c167]Qiang Wu, Liqing Zhang, Andrzej Cichocki:
A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition. ICONIP (2) 2011: 663-670 - [c166]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa:
Analysis of environmental electromagnetic signal using nonnegative Matrix Factorization minimizing quasi-L1 norm. IGARSS 2011: 1846-1849 - [c165]Yohei Tomita, Antoine Gaume, Hovagim Bakardjian, Monique Maurice, Andrzej Cichocki, Yoko Yamaguchi, Gérard Dreyfus, François-Benoît Maurice:
Concatenation Method for High-temporal Resolution SSVEP-BCI. IJCCI (NCTA) 2011: 444-452 - [c164]Esteve Gallego-Jutglà, Jordi Solé-Casals, Tomasz M. Rutkowski, Andrzej Cichocki:
Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals. IJCCI (NCTA) 2011: 455-460 - [c163]Kazuko Hiyoshi-Taniguchi, François-Benoît Vialatte, M. Kawasaki, Hironori Fukuyama, Andrzej Cichocki:
Neurodynamics of Emotional Judgments in the Human Brain. IJCCI (NCTA) 2011: 461-464 - [c162]Ta Chen, Andrzej Cichocki, Sharanya Eswaran, Vikram Kaul, Yow-Jian Lin, Sunil Samtani, David Shur, Jeffrey Bowcock:
Advances in content transformation in heterogeneous tactical wireless networks. MILCOM 2011: 1574-1579 - [c161]Fengyu Cong, Zhaoshui He, Jarmo A. Hämäläinen, Andrzej Cichocki, Tapani Ristaniemi:
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection. MLSP 2011: 1-6 - [c160]Justin Dauwels, Hang Yu, Xueou Wang, François B. Vialatte, Charles-François Vincent Latchoumane, Jaeseung Jeong, Andrzej Cichocki:
Inferring Brain Networks through Graphical Models with Hidden Variables. MLINI 2011: 194-201 - [c159]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki:
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 - 2010
- [j121]Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010) - [j120]Anh Huy Andrzej, Andrzej Cichocki, Thanh Vu Dinh:
Nonnegative DEDICOM Based On Tensor Decompositions for Social Networks Exploration. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [j119]Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
Damped Newton Iterations for Nonnegative Matrix Factorization. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [j118]Theodore W. Berger, Zhe (Sage) Chen, Andrzej Cichocki, Karim G. Oweiss, Rodrigo Quian Quiroga, Nitish V. Thakor:
Signal Processing for Neural Spike Trains. Comput. Intell. Neurosci. 2010: 698751:1-698751:2 (2010) - [j117]Andrzej Cichocki, Shun-ichi Amari:
Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities. Entropy 12(6): 1532-1568 (2010) - [j116]Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski:
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. J. Circuits Syst. Comput. 19(1): 215-229 (2010) - [j115]Justin Dauwels, François-Benoît Vialatte, Toshimitsu Musha, Andrzej Cichocki:
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. NeuroImage 49(1): 668-693 (2010) - [j114]Zhaoshui He, Andrzej Cichocki, Shengli Xie, Kyuwan Choi:
Detecting the Number of Clusters in n-Way Probabilistic Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2006-2021 (2010) - [j113]Shoji Makino, Andrzej Cichocki, Wei Xing Zheng, Aurelio Uncini:
Guest Editorial Special Section on Blind Signal Processing and Its Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1401-1403 (2010) - [j112]Soroush Javidi, Danilo P. Mandic, Andrzej Cichocki:
Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1404-1416 (2010) - [j111]Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki:
Blind extraction of global signal from multi-channel noisy observations. IEEE Trans. Neural Networks 21(9): 1472-1481 (2010) - [c158]François-Benoît Vialatte, Charles-François Vincent Latchoumane, Nigel R. Hudson, Sunil Wimalaratna, Jordi Solé-Casals, Jaeseung Jeong, Andrzej Cichocki:
Sparse Bump Modeling of mildAD Patients - Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer's Disease. BIOSIGNALS 2010: 478-483 - [c157]Jordi Solé-Casals, François B. Vialatte, Johannes Pantel, David Prvulovic, Corinna Haenschel, Andrzej Cichocki:
ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection. BIOSIGNALS 2010: 484-489 - [c156]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
EOG-related noise rejection in EEG signal with eye movement task by tensor product expansion with absolute error. EUSIPCO 2010: 706-710 - [c155]Ivica Kopriva, Andrzej Cichocki:
Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain. LVA/ICA 2010: 490-497 - [c154]Fengyu Cong, Anh Huy Phan, Heikki Lyytinen, Tapani Ristaniemi, Andrzej Cichocki:
Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential. LVA/ICA 2010: 620-628 - [c153]Rafal Zdunek, Andrzej Cichocki:
Sequential Coordinate-Wise DNMF for Face Recognition. ICAISC (1) 2010: 563-570 - [c152]Satish G. Iyengar, Justin Dauwels, Pramod K. Varshney, Andrzej Cichocki:
Quantifying EEG synchrony using copulas. ICASSP 2010: 505-508 - [c151]Md. Khademul Islam Molla, Toshihisa Tanaka, Tomasz M. Rutkowski, Andrzej Cichocki:
Separation of EOG artifacts from EEG signals using bivariate EMD. ICASSP 2010: 562-565 - [c150]Yoshikazu Washizawa, Hiroshi Higashi, Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki:
Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification. ICONIP (2) 2010: 26-33 - [c149]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) 2010: 34-41 - [c148]Arao Funase, Motoaki Mouri, Andrzej Cichocki, Ichi Takumi:
Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by Independent Component Analysis. ICONIP (2) 2010: 74-81 - [c147]Anh Huy Phan, Andrzej Cichocki, Rafal Zdunek, Thanh Vu Dinh:
Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations. ICONIP (1) 2010: 262-269 - [c146]Fengyu Cong, Anh Huy Phan, Andrzej Cichocki, Heikki Lyytinen, Tapani Ristaniemi:
Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials. IJCNN 2010: 1-5 - [c145]Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, Andrzej Cichocki:
Reduction of broadband noise in speech signals by multilinear subspace analysis. INTERSPEECH 2010: 965-968 - [c144]Fengyu Cong, Igor Kalyakin, Anh Huy Phan, Andrzej Cichocki, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials. ISNN (2) 2010: 385-391
2000 – 2009
- 2009
- [b3]Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Wiley 2009, ISBN 978-0-470-74666-0 - [j110]Laura Astolfi, Andrzej Cichocki, Fabio Babiloni:
NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity. Comput. Intell. Neurosci. 2009: 275638:1-275638:2 (2009) - [j109]Andrzej Cichocki, Anh Huy Phan:
Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(3): 708-721 (2009) - [j108]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus. Neurocomputing 72(7-9): 1575-1583 (2009) - [j107]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing 72(13-15): 3182-3190 (2009) - [j106]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes. Neural Comput. 21(8): 2152-2202 (2009) - [j105]Justin Dauwels, François B. Vialatte, Theophane Weber, Toshimitsu Musha, Andrzej Cichocki:
Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes. Neural Comput. 21(8): 2203-2268 (2009) - [j104]Cesar F. Caiafa, Andrzej Cichocki:
Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP. Neural Comput. 21(12): 3487-3518 (2009) - [j103]Zhaoshui He, Andrzej Cichocki, Yuanqing Li, Shengli Xie, Saeid Sanei:
K-hyperline clustering learning for sparse component analysis. Signal Process. 89(6): 1011-1022 (2009) - [j102]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Shengli Xie:
Improved FOCUSS Method With Conjugate Gradient Iterations. IEEE Trans. Signal Process. 57(1): 399-404 (2009) - [j101]Wenwu Wang, Andrzej Cichocki, Jonathon A. Chambers:
A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance. IEEE Trans. Signal Process. 57(7): 2858-2864 (2009) - [c143]Jordi Solé i Casals, François B. Vialatte, Zhe (Sage) Chen, Andrzej Cichocki:
Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination. BIOSIGNALS 2009: 468-475 - [c142]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Implementation of matrix factorization based on minimizing quasi-absolute distance for electromagnetic global signal elimination. EUSIPCO 2009: 446-450 - [c141]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Danilo P. Mandic, Jianting Cao, Anca L. Ralescu:
Multichannel spectral pattern separation - An EEG processing application -. ICASSP 2009: 373-376 - [c140]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear generalization of Common Spatial Pattern. ICASSP 2009: 525-528 - [c139]Saeid Sanei, Anh Huy Phan, Jen-Lung Lo, Vahid Abolghasemi, Andrzej Cichocki:
A compressive sensing approach for progressive transmission of images. DPS 2009: 1-5 - [c138]Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan:
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. ICONIP (1) 2009: 221-228 - [c137]Anh Huy Phan, Andrzej Cichocki:
Advances in PARAFAC Using Parallel Block Decomposition. ICONIP (1) 2009: 323-330 - [c136]Arao Funase, Motoaki Mouri, Andrzej Cichocki, Ichi Takumi:
Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals. ICONIP (1) 2009: 409-416 - [c135]Anh Huy Phan, Andrzej Cichocki:
Local Learning Rules for Nonnegative Tucker Decomposition. ICONIP (1) 2009: 538-545 - [c134]Yoshikazu Washizawa, Yukihiko Yamashita, Andrzej Cichocki:
Blind Source Extraction using Spatio-temporal Inverse Filter. ISCAS 2009: 2786-2789 - 2008
- [j100]François B. Vialatte, Andrzej Cichocki:
Split-test Bonferroni correction for QEEG statistical maps. Biol. Cybern. 98(4): 295-303 (2008) - [j99]Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek:
Advances in Nonnegative Matrix and Tensor Factorization. Comput. Intell. Neurosci. 2008 (2008) - [j98]Rafal Zdunek, Andrzej Cichocki:
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems. Comput. Intell. Neurosci. 2008 (2008) - [j97]Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li:
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41(10): 34-42 (2008) - [j96]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(8): 1875-1882 (2008) - [j95]Rafal Zdunek, Andrzej Cichocki:
Nonnegative matrix factorization with quadratic programming. Neurocomputing 71(10-12): 2309-2320 (2008) - [j94]Yoshikazu Washizawa, Andrzej Cichocki:
Sparse blind identification and separation by using adaptive K-orthodrome clustering. Neurocomputing 71(10-12): 2321-2329 (2008) - [j93]Tülay Adali, Z. Jane Wang, Martin J. McKeown, Philippe Ciuciu, Lars Kai Hansen, Andrzej Cichocki, Vincent D. Calhoun:
Introduction to the Issue on fMRI Analysis for Human Brain Mapping. IEEE J. Sel. Top. Signal Process. 2(6): 813-816 (2008) - [j92]Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations. Neural Comput. 20(3): 636-643 (2008) - [j91]Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A new nonlinear similarity measure for multichannel signals. Neural Networks 21(2-3): 222-231 (2008) - [j90]Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi:
Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. 29(9): 1433-1440 (2008) - [j89]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorization [Lecture Notes]. IEEE Signal Process. Mag. 25(1): 142-145 (2008) - [j88]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shengli Xie, Cuntai Guan:
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. IEEE Trans. Neural Networks 19(12): 2009-2021 (2008) - [j87]Rafal Zdunek, Andrzej Cichocki:
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals. IEEE Trans. Signal Process. 56(10-1): 4752-4761 (2008) - [c133]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
Analyzing brain signals by combinatorial optimization. Allerton 2008: 1381-1388 - [c132]Jordi Solé i Casals, François B. Vialatte, Zhe (Sage) Chen, Andrzej Cichocki:
Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease. BIOSIGNALS (1) 2008: 232-235 - [c131]Scott Rickard, Andrzej Cichocki:
When is non-negative matrix decomposition unique? CISS 2008: 1091-1092 - [c130]Pablo Martinez Vasquez, Hovagim Bakardjian, Montserrat Vallverdú, Andrzej Cichocki:
Fast Multi-command SSVEP Brain Machine Interface without Training. ICANN (2) 2008: 300-307 - [c129]Justin Dauwels, Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki:
On the synchrony of empirical mode decompositions with application to electroencephalography. ICASSP 2008: 473-476 - [c128]Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tucker decomposition with alpha-divergence. ICASSP 2008: 1829-1832 - [c127]Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski:
EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. ICIC (1) 2008: 122-129 - [c126]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
On Similarity Measures for Spike Trains. ICONIP (1) 2008: 177-185 - [c125]François B. Vialatte, Justin Dauwels, Jordi Solé i Casals, Monique Maurice, Andrzej Cichocki:
Improved Sparse Bump Modeling for Electrophysiological Data. ICONIP (1) 2008: 224-231 - [c124]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. ICONIP (1) 2008: 318-326 - [c123]François B. Vialatte, Monique Maurice, Justin Dauwels, Andrzej Cichocki:
Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). ICONIP (1) 2008: 400-407 - [c122]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic:
Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. ICONIP (1) 2008: 453-460 - [c121]Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki:
On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) 2008: 469-477 - [c120]François B. Vialatte, Jordi Solé i Casals, Monique Maurice, Charles-François Vincent Latchoumane, Nigel R. Hudson, Sunil Wimalaratna, Jaeseung Jeong, Andrzej Cichocki:
Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA. ICONIP (2) 2008: 979-986 - [c119]Arao Funase, Motoaki Mouri, Tohru Yagi, Andrzej Cichocki, Ichi Takumi:
Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI. ICONIP (2) 2008: 1021-1028 - [c118]Kyuwan Choi, Andrzej Cichocki:
Control of a Wheelchair by Motor Imagery in Real Time. IDEAL 2008: 330-337 - [c117]Motoaki Mouri, Arao Funase, Ichi Takumi, Andrzej Cichocki, Hiroshi Yasukawa, Masayasu Hata:
Improvement of Earthquake Prediction by using Global Signal Elimination from Environmental Electromagnetic Signals. IGARSS (5) 2008: 566-569 - [c116]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM classifier for localization of epileptic focus on the basis of EEG. IJCNN 2008: 189-194 - [c115]Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li:
Incremental Common Spatial Pattern algorithm for BCI. IJCNN 2008: 2656-2659 - [c114]Rafal Zdunek, Zhaoshui He, Andrzej Cichocki:
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm. ISBI 2008: 768-771 - [c113]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Jianting Cao:
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing. ISNN (1) 2008: 237-245 - [c112]Anh Huy Phan, Andrzej Cichocki:
Fast and Efficient Algorithms for Nonnegative Tucker Decomposition. ISNN (2) 2008: 772-782 - [c111]Charles-François Vincent Latchoumane, François B. Vialatte, Jaeseung Jeong, Andrzej Cichocki:
EEG Classification of Mild and Severe Alzheimer's Disease Using Parallel Factor Analysis Method. World Congress on Engineering (Selected Papers) 2008: 705-715 - 2007
- [j86]Dimitrios Georgakopoulos, Donald Baker, Marian H. Nodine, Andrzej Cichocki:
Event-driven Video Awareness Providing Physical Security. World Wide Web(1): 85-109 (2007) - [j85]Fabio Babiloni, Andrzej Cichocki, Shangkai Gao:
Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications. Comput. Intell. Neurosci. 2007 (2007) - [j84]Zhe Chen, Shinji Ohara, Jianting Cao, François-Benoît Vialatte, Fred Lenz, Andrzej Cichocki:
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans. Comput. Intell. Neurosci. 2007 (2007) - [j83]Andrzej Cichocki, Saeid Sanei:
EEG/MEG Signal Processing. Comput. Intell. Neurosci. 2007 (2007) - [j82]Pablo Martinez, Hovagim Bakardjian, Andrzej Cichocki:
Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm. Comput. Intell. Neurosci. 2007 (2007) - [j81]Wei Lee Woon, Andrzej Cichocki:
Novel Features for Brain-Computer Interfaces. Comput. Intell. Neurosci. 2007 (2007) - [j80]Pando G. Georgiev, Panos M. Pardalos, Andrzej Cichocki:
Algorithms with high order convergence speed for blind source extraction. Comput. Optim. Appl. 38(1): 123-131 (2007) - [j79]Andrzej Cichocki, Frank Ehlers:
Advances in Blind Source Separation. EURASIP J. Adv. Signal Process. 2007 (2007) - [j78]Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki:
Robust Sparse Component Analysis Based on a Generalized Hough Transform. EURASIP J. Adv. Signal Process. 2007 (2007) - [j77]Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. 17(4): 305-317 (2007) - [j76]Andrzej Cichocki, Rafal Zdunek:
Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches. Int. J. Neural Syst. 17(6): 431-446 (2007) - [j75]Abd-Krim Seghouane, Andrzej Cichocki:
Bayesian estimation of the number of principal components. Signal Process. 87(3): 562-568 (2007) - [j74]Rafal Zdunek, Andrzej Cichocki:
Nonnegative matrix factorization with constrained second-order optimization. Signal Process. 87(8): 1904-1916 (2007) - [j73]Zhaoshui He, Shengli Xie, Shuxue Ding, Andrzej Cichocki:
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation. IEEE Trans. Speech Audio Process. 15(5): 1551-1563 (2007) - [j72]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Analysis and Online Realization of the CCA Approach for Blind Source Separation. IEEE Trans. Neural Networks 18(5): 1505-1510 (2007) - [j71]Da-Zheng Feng, Wei Xing Zheng, Andrzej Cichocki:
Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources From Array Signals. IEEE Trans. Signal Process. 55(3): 962-977 (2007) - [j70]Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki:
Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy. J. VLSI Signal Process. 48(1-2): 83-97 (2007) - [c110]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Applying Non-negative Matrix Factorization for global signal elimination from electromagnetic signals. EUSIPCO 2007: 2444-2448 - [c109]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. ICA 2007: 169-176 - [c108]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) 2007: 271-280 - [c107]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine. ICANNGA (2) 2007: 373-381 - [c106]François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki:
EEG Windowed Statisticalwavelet Deviation for Estimation of Muscular Artifacts. ICASSP (4) 2007: 1161-1164 - [c105]Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
A Novel Measure for Synchrony and its Application to Neural Signals. ICASSP (4) 2007: 1165-1168 - [c104]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) 2007: 1393-1396 - [c103]Beth Jelfs, Danilo P. Mandic, Andrzej Cichocki:
A Unifying Approach to the Derivation of the Class of PNLMS Algorithms. DSP 2007: 35-38 - [c102]Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG. ICONIP (1) 2007: 112-125 - [c101]Rafal Zdunek, Andrzej Cichocki:
Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing. ICONIP (2) 2007: 519-528 - [c100]Marko Jankovic, Pablo Martinez, Zhe (Sage) Chen, Andrzej Cichocki:
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis. ICONIP (1) 2007: 527-536 - [c99]Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Shun-ichi Amari:
Sparse Super Symmetric Tensor Factorization. ICONIP (1) 2007: 781-790 - [c98]Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqing Zhang:
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation. ICONIP (1) 2007: 811-820 - [c97]Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A New Nonlinear Similarity Measure for Multichannel Biological Signals. IJCNN 2007: 2046-2051 - [c96]Andrzej Cichocki, Rafal Zdunek:
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization. ISNN (3) 2007: 793-802 - [c95]Zhaoshui He, Andrzej Cichocki:
An Efficient K -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis. ISNN (2) 2007: 1032-1041 - [c94]Justin Dauwels, François B. Vialatte, Tomasz M. Rutkowski, Andrzej Cichocki:
Measuring Neural Synchrony by Message Passing. NIPS 2007: 361-368 - 2006
- [j69]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Process. Lett. 24(1): 53-65 (2006) - [j68]Wakako Nakamura, Kimitaka Anami, Takeyuki Mori, Osamu Saitoh, Andrzej Cichocki, Shun-ichi Amari:
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. IEEE Trans. Biomed. Eng. 53(7): 1294-1308 (2006) - [j67]Shuxue Ding, Jie Huang, Daming Wei, Andrzej Cichocki:
A near real-time approach for convolutive blind source separation. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(1): 114-128 (2006) - [j66]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures. IEEE Trans. Circuits Syst. II Express Briefs 53-II(9): 931-935 (2006) - [j65]Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Cuntai Guan:
Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation. IEEE Trans. Inf. Theory 52(7): 3139-3152 (2006) - [j64]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari:
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. IEEE Trans. Neural Networks 17(2): 419-431 (2006) - [j63]Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Daniel W. C. Ho, Shengli Xie:
Underdetermined blind source separation based on sparse representation. IEEE Trans. Signal Process. 54(2): 423-437 (2006) - [j62]Maria G. Jafari, Wenwu Wang, Jonathon A. Chambers, Tetsuya Hoya, Andrzej Cichocki:
Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals. IEEE Trans. Signal Process. 54(3): 1028-1040 (2006) - [c93]Dimitrios Georgakopoulos, Marian H. Nodine, Donald Baker, Andrzej Cichocki:
Awareness-based Collaboration Driving Process-based Coordination. CollaborateCom 2006 - [c92]Dimitrios Georgakopoulos, Marian H. Nodine, Donald Baker, Andrzej Cichocki:
Awareness-Enabled Coordination for Large Scale Collaboration Management. CTS 2006: 132-141 - [c91]Laura Astolfi, Febo Cincotti, Donatella Mattia, Fabio Babiloni, Maria Grazia Marciani, Fabrizio de Vico Fallani, Marco Mattiocco, Fumikazu Miwakeichi, Yoko Yamaguchi, Pablo Martinez, Serenella Salinari, Andrea Tocci, Hovagim Bakardjian, François-Benoît Vialatte, Andrzej Cichocki:
Removal of ocular artifacts for high resolution EEG studies: a simulation study. EMBC 2006: 976-979 - [c90]Arao Funase, Tohru Yagi, Allan Kardec Barros, Andrzej Cichocki, Ichi Takumi:
Single trial method for Brain-Computer Interface. EMBC 2006: 5277-5281 - [c89]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Global signal elimination from ELF band electromagnetic signals by Independent Component Analysis. EUSIPCO 2006: 1-5 - [c88]Abd-Krim Seghouane, Andrzej Cichocki:
Bayesian estimation of the number of principal components. EUSIPCO 2006: 1-5 - [c87]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms. ICA 2006: 32-39 - [c86]Zhaoshui He, Andrzej Cichocki:
K-EVD Clustering and Its Applications to Sparse Component Analysis. ICA 2006: 90-97 - [c85]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis. ICA 2006: 384-391 - [c84]Arao Funase, Tohru Yagi, Motoaki Mouri, Allan Kardec Barros, Andrzej Cichocki, Ichi Takumi:
Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR. ICA 2006: 438-445 - [c83]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Cuntai Guan:
Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation. ICA 2006: 831-837 - [c82]Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, Raul Kompass, Gen Hori, Zhaoshui He:
Extended SMART Algorithms for Non-negative Matrix Factorization . ICAISC 2006: 548-562 - [c81]Rafal Zdunek, Andrzej Cichocki:
Non-negative Matrix Factorization with Quasi-Newton Optimization. ICAISC 2006: 870-879 - [c80]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) 2006: 250-259 - [c79]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation. ICASSP (5) 2006: 621-624 - [c78]Yoshikazu Washizawa, Andrzej Cichocki:
On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis. ICASSP (5) 2006: 681-684 - [c77]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Iterative Projection Approximation Algorithms for PCA. ICASSP (5) 2006: 845-848 - [c76]Zhe (Sage) Chen, Andrzej Cichocki, Tomasz M. Rutkowski:
Constrained non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer Disease. ICASSP (5) 2006: 893-896 - [c75]François B. Vialatte, Andrzej Cichocki:
Sparse Bump Sonification: A New Tool for Multichannel EEG Diagnosis of Mental Disorders; Application to the Detection of the Early Stage of Alzheimer's Disease. ICONIP (3) 2006: 92-101 - [c74]Zhaoshui He, Andrzej Cichocki, Shengli Xie:
K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. ICONIP (1) 2006: 1038-1047 - [c73]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
An analysis of the CCA approach for blind source separation and its adaptive realization. ISCAS 2006 - [c72]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Blind source extraction of instantaneous noisy mixtures using a linear predictor. ISCAS 2006 - [c71]Jianting Cao, Liangyu Zhao, Andrzej Cichocki:
Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis. ISNN (2) 2006: 531-540 - [c70]Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki, Danilo P. Mandic, Allan Kardec Barros:
Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach. KES (3) 2006: 1232-1239 - [c69]Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki:
A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) 2006: 1248-1255 - [c68]Donald Baker, Dimitrios Georgakopoulos, Marian H. Nodine, Andrzej Cichocki:
From Events to Awareness. SCW 2006: 21-30 - 2005
- [j61]Shuxue Ding, Andrzej Cichocki, Jie Huang, Daming Wei:
Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain. Int. J. Pervasive Comput. Commun. 1(2): 89-100 (2005) - [j60]Tetsuya Hoya, Toshihisa Tanaka, Andrzej Cichocki, Takahiro Murakami, Gen Hori, Jonathon A. Chambers:
Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement. IEEE Trans. Speech Audio Process. 13(3): 309-320 (2005) - [j59]Pando G. Georgiev, Fabian J. Theis, Andrzej Cichocki:
Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Trans. Neural Networks 16(4): 992-996 (2005) - [c67]François B. Vialatte, Andrzej Cichocki, Gérard Dreyfus, Toshimitsu Musha, Sergei L. Shishkin, Rémi Gervais:
Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals. ICANN (1) 2005: 683-692 - [c66]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
A class of novel blind source extraction algorithms based on a linear predictor. ISCAS (4) 2005: 3599-3602 - [c65]Yuanqing Li, Andrzej Cichocki, Jianzhao Qin:
Blind Identification and Deconvolution for Noisy Two-Input Two-Output Channels. ISNN (2) 2005: 502-507 - [c64]Jianzhao Qin, Yuanqing Li, Andrzej Cichocki:
ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System. ISNN (1) 2005: 973-978 - [c63]Donald Baker, Andrzej Cichocki, Dimitrios Georgakopoulos, Marian H. Nodine:
Awareness-Enabled Coordination. SAINT Workshops 2005: 230-233 - 2004
- [j58]Andrzej Cichocki, Marek Rusinkiewicz:
Providing Transactional Properties for Migrating Workflows. Mob. Networks Appl. 9(5): 473-480 (2004) - [j57]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari:
Analysis of Sparse Representation and Blind Source Separation. Neural Comput. 16(6): 1193-1234 (2004) - [j56]Yuanqing Li, Andrzej Cichocki, Liqing Zhang:
Blind source estimation of FIR channels for binary sources: a grouping decision approach. Signal Process. 84(12): 2245-2263 (2004) - [j55]Yuanqing Li, Jun Wang, Andrzej Cichocki:
Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(9): 1814-1822 (2004) - [j54]Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Self-adaptive blind source separation based on activation functions adaptation. IEEE Trans. Neural Networks 15(2): 233-244 (2004) - [j53]José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus:
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15(4): 789-791 (2004) - [j52]Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari:
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. IEEE Trans. Neural Networks 15(4): 859-873 (2004) - [j51]Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition. IEEE Trans. Signal Process. 52(5): 1430-1442 (2004) - [c62]Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki:
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. ESANN 2004: 343-348 - [c61]Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer:
Thin QR and SVD factorizations for simultaneous blind signal extraction. EUSIPCO 2004: 217-220 - [c60]Andrzej Cichocki, Jacek M. Zurada:
Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. ICAISC 2004: 30-37 - [c59]Pando G. Georgiev, Fabian J. Theis, Andrzej Cichocki:
Blind source separation and sparse component analysis of overcomplete mixtures. ICASSP (5) 2004: 493-496 - [c58]Toshihisa Tanaka, Andrzej Cichocki:
Subband decomposition independent component analysis and new performance criteria. ICASSP (5) 2004: 541-544 - [c57]Wlodzimierz Kasprzak, Andrzej Cichocki, Adam F. Okazaki:
Blind Extraction of Sparse Images from under-determined Mixtures. ICCVG 2004: 826-831 - [c56]Pando G. Georgiev, Andrzej Cichocki:
Sparse component analysis of overcomplete mixtures by improved basis pursuit method. ISCAS (5) 2004: 37-40 - [c55]Andrzej Cichocki, Yuanqing Li, Pando G. Georgiev, Shun-ichi Amari:
Beyond ICA: robust sparse signal representations. ISCAS (5) 2004: 684-687 - 2003
- [j50]Reda R. Gharieb, Andrzej Cichocki:
Second-order statistics based blind source separation using a bank of subband filters. Digit. Signal Process. 13(2): 252-274 (2003) - [j49]Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari:
Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(1): 198-205 (2003) - [j48]Andrzej Cichocki, Pando G. Georgiev:
Blind Source Separation Algorithms with Matrix Constraints. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 522-531 (2003) - [j47]Pando G. Georgiev, Andrzej Cichocki:
Robust Independent Component Analysis via Time-Delayed Cumulant Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 573-579 (2003) - [j46]Yuanqing Li, Andrzej Cichocki, Liqing Zhang:
Blind Separation and Extraction of Binary Sources. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 580-589 (2003) - [j45]Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi:
Wavelet-Like Receptive Fields Emerges by Non-Linear Minimization of Neuron Error. Int. J. Neural Syst. 13(2): 87-91 (2003) - [j44]Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks 14(3): 631-645 (2003) - [c54]Yuanqing Li, Andrzej Cichocki, Liqing Zhang:
Blind deconvolution of FIR channels with binary sources: a grouping decision approach. ICASSP (4) 2003: 289-292 - [c53]Yuanqing Li, Andrzej Cichocki:
Sparse representation of images using alternating linear programming. ISSPA (1) 2003: 57-60 - [c52]Liqing Zhang, Andrzej Cichocki:
Independent Residual Analysis for Temporally Correlated Signals. IWANN (1) 2003: 158-165 - [c51]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei L. Shishkin, Jianting Cao, Fanji Gu:
Sparse Representation and Its Applications in Blind Source Separation. NIPS 2003: 241-248 - [c50]Danilo P. Mandic, Andrzej Cichocki, Uttachai Manmontri:
An on-line algorithm for blind source extraction based on nonlinear prediction approach. NNSP 2003: 429-438 - 2002
- [b2]Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications. Wiley 2002, ISBN 978-0-471-60791-5, pp. I-XXXI, 1-554 - [j43]Sergiy A. Vorobyov, Andrzej Cichocki:
Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis. Biol. Cybern. 86(4): 293-303 (2002) - [j42]Donald Baker, Dimitrios Georgakopoulos, Hans Schuster, Andrzej Cichocki:
Awareness Provisioning in Collaboration Management. Int. J. Cooperative Inf. Syst. 11(1-2): 145-173 (2002) - [j41]Sergio Cruces, Luis Castedo, Andrzej Cichocki:
Robust blind source separation algorithms using cumulants. Neurocomputing 49(1-4): 87-118 (2002) - [j40]Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. Neurocomputing 49(1-4): 255-277 (2002) - [j39]Dimitrios Georgakopoulos, Hans Schuster, Andrzej Cichocki, Donald Baker:
Process-Based E-Service Composition for Modeling and Automating Zero Latency Supply Chains. Inf. Syst. Frontiers 4(1): 33-54 (2002) - [j38]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Equivariant nonstationary source separation. Neural Networks 15(1): 121-130 (2002) - [j37]Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari:
On a new blind signal extraction algorithm: different criteria and stability analysis. IEEE Signal Process. Lett. 9(8): 233-236 (2002) - [j36]Seungjin Choi, Andrzej Cichocki, Adel Belouchrani:
Second Order Nonstationary Source Separation. J. VLSI Signal Process. 32(1-2): 93-104 (2002) - [c49]Pando G. Georgiev, Andrzej Cichocki:
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics. ICANN 2002: 1162-1167 - [c48]Pando G. Georgiev, Andrzej Cichocki:
Robust blind source separation and dispersing algorithms. ICASSP 2002: 997-1000 - [c47]Anne H. H. Ngu, Dimitrios Georgakopoulos, Donald Baker, Andrzej Cichocki, Joseph Desmarais, Peter Bates:
Advanced Process-Based Component Integration in Telcordia's Cable OSS. ICDE 2002: 485-487 - [c46]Andrzej Cichocki, Tomasz M. Rutkowski, Krzysztof Siwek:
Blind signal extraction of signals with specified frequency band. NNSP 2002: 515-524 - [c45]Andrzej Cichocki, Pando G. Georgiev:
Blind identification problems with constraints. NNSP 2002: 535-544 - [c44]Allan Kardec Barros, Andrzej Cichocki:
Neural Coding by Redundancy Reduction and Correlation. SBRN 2002: 223-226 - 2001
- [j35]Sergiy A. Vorobyov, Andrzej Cichocki:
Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal. Digit. Signal Process. 11(3): 204-221 (2001) - [j34]Roman Rosipal, Mark A. Girolami, Leonard J. Trejo, Andrzej Cichocki:
Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression. Neural Comput. Appl. 10(3): 231-243 (2001) - [j33]Allan Kardec Barros, Andrzej Cichocki:
Extraction of Specific Signals with Temporal Structure. Neural Comput. 13(9): 1995-2003 (2001) - [j32]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Semiparametric model and superefficiency in blind deconvolution. Signal Process. 81(12): 2535-2553 (2001) - [j31]Reda R. Gharieb, Andrzej Cichocki:
Noise reduction in brain evoked potentials based on third-order correlations. IEEE Trans. Biomed. Eng. 48(5): 501-512 (2001) - [c43]Reda R. Gharieb, Andrzej Cichocki:
On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter. ICASSP 2001: 1061-1064 - [c42]Andrzej Cichocki, Reda R. Gharieb, Tetsuya Hoya:
Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods. ICASSP 2001: 3117-3120 - [c41]Pando G. Georgiev, Andrzej Cichocki:
Blind source separation via symmetric eigenvalue decomposition. ISSPA 2001: 17-20 - [c40]Assya Bousbia-Salah, Adel Belouchrani, Andrzej Cichocki:
Application of time-frequency distributions to the independent component analysis of ECG signals. ISSPA 2001: 238-241 - [c39]Seungjin Choi, Andrzej Cichocki:
Correlation matching approach to source separation in the presence of spatially correlated noise. ISSPA 2001: 272-275 - [c38]Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari:
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction. IWANN (2) 2001: 786-793 - [c37]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions. IWANN (2) 2001: 826-833 - 2000
- [j30]Shun-ichi Amari, Tianping Chen, Andrzej Cichocki:
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation. Neural Comput. 12(6): 1463-1484 (2000) - [j29]Andrzej Cichocki, Ruck Thawonmas:
On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics. Neural Process. Lett. 12(1): 91-98 (2000) - [j28]Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Luis Castedo:
An iterative inversion approach to blind source separation. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1423-1437 (2000) - [j27]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Flexible Independent Component Analysis. J. VLSI Signal Process. 26(1-2): 25-38 (2000) - [c36]Dimitrios Georgakopoulos, Andrzej Cichocki, Hans Schuster, Donald Baker:
Process-Based Service Integration for Zero Latency Supply Chains in Virtual Enterprises. AIWoRC 2000: 263-280 - [c35]Hans Schuster, Dimitrios Georgakopoulos, Andrzej Cichocki, Donald Baker:
Modeling and Composing Service-Based nd Reference Process-Based Multi-enterprise Processes. CAiSE 2000: 247-263 - [c34]Sergio Cruces, Luis Castedo, Andrzej Cichocki:
Novel blind source separation algorithms using cumulants. ICASSP 2000: 3152-3155 - [c33]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Local stability analysis of flexible independent component analysis algorithm. ICASSP 2000: 3426-3429 - [c32]Dimitrios Georgakopoulos, Hans Schuster, Donald Baker, Andrzej Cichocki:
Managing Escalation of Collaboration Processes in Crisis Mitigation Situations. ICDE 2000: 45-56 - [c31]Hans Schuster, Donald Baker, Andrzej Cichocki, Dimitrios Georgakopoulos, Marek Rusinkiewicz:
The Collaboration Management Infrastructure. ICDE 2000: 677-678 - [c30]Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi:
Extraction of Statistically Dependent Sources with Temporal Structure. SBRN 2000: 61-65 - [c29]Dimitrios Georgakopoulos, Andrzej Cichocki, Hans Schuster, Donald Baker:
Process-based e-service integration. TES 2000: 117-134
1990 – 1999
- 1999
- [j26]Stanislaw Osowski, Andrzej Cichocki:
Learning in dynamic neural networks using signal flow graphs. Int. J. Circuit Theory Appl. 27(2): 209-228 (1999) - [j25]Andrzej Cichocki, Juha Karhunen, Wlodzimierz Kasprzak, Ricardo Vigário:
Neural networks for blind separation with unknown number of sources. Neurocomputing 24(1-3): 55-93 (1999) - [j24]Dimitrios Georgakopoulos, Hans Schuster, Andrzej Cichocki, Donald Baker:
Managing Process and Service Fusion in Virtual Enterprises. Inf. Syst. 24(6): 429-456 (1999) - [j23]Seungjin Choi, Andrzej Cichocki:
An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment. J. Commun. Networks 1(1): 19-25 (1999) - [j22]Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Natural gradient algorithm for blind separation of overdetermined mixture with additive noise. IEEE Signal Process. Lett. 6(11): 293-295 (1999) - [j21]Scott C. Douglas, Andrzej Cichocki, Shun-ichi Amari:
Self-whitening algorithms for adaptive equalization and deconvolution. IEEE Trans. Signal Process. 47(4): 1161-1165 (1999) - [c28]Donald Baker, Dimitrios Georgakopoulos, Hans Schuster, Anthony R. Cassandra, Andrzej Cichocki:
Providing Customized Process and Situation Awareness in the Collaboration Management Infrastructure. CoopIS 1999: 79-91 - [c27]Andrzej Cichocki, Marek Rusinkiewicz:
Providing Transactional Properties for Migrating Workflows. DEXA Workshop 1999: 90-94 - [c26]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. ICASSP 1999: 1085-1088 - [c25]Andrzej Cichocki, Liqing Zhang, Tomasz M. Rutkowski:
Blind separation and filtering using state space models. ISCAS (5) 1999: 78-81 - [c24]Andrzej Cichocki, Allan Kardec Barros:
Robust batch algorithm for sequential blind extraction of noisy biomedical signals. ISSPA 1999: 363-366 - [c23]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems. NIPS 1999: 363-369 - 1998
- [j20]Andrzej Cichocki, Scott C. Douglas, Shun-ichi Amari:
Robust techniques for independent component analysis (ICA) with noisy data. Neurocomputing 22(1-3): 113-129 (1998) - [j19]Seungjin Choi, Ruey-Wen Liu, Andrzej Cichocki:
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals. Neural Process. Lett. 7(2): 61-68 (1998) - [j18]Shun-ichi Amari, Andrzej Cichocki:
Adaptive blind signal processing-neural network approaches. Proc. IEEE 86(9): 2026-2048 (1998) - [j17]Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki:
Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Process. 64(3): 291-300 (1998) - [j16]Mark A. Girolami, Andrzej Cichocki, Shun-ichi Amari:
A common neural-network model for unsupervised exploratory data analysis and independent component analysis. IEEE Trans. Neural Networks 9(6): 1495-1501 (1998) - [c22]Andrzej Cichocki, Liqing Zhang:
Two-stage Blind Deconvolution Using State-space Models. ICONIP 1998: 729-732 - [c21]Liqing Zhang, Andrzej Cichocki:
Blind Separation of Filtered Sources Using State-Space Approach. NIPS 1998: 648-656 - [c20]Allan Kardec Barros, Andrzej Cichocki:
A Fixed-Point Algorithm for Independent Component Analysis which uses a priori Information. SBRN 1998: 39-42 - 1997
- [j15]Andrzej Cichocki, Robert E. Bogner, Leszek Moszczynski, Kenneth J. Pope:
Modified Herault-Jutten Algorithms for Blind Separation of Sources. Digit. Signal Process. 7(2): 80-93 (1997) - [j14]Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, Petteri Pajunen:
On Neural Blind Separation with Noise Suppression and Redundancy Reduction. Int. J. Neural Syst. 8(2): 219-237 (1997) - [j13]Wlodzimierz Kasprzak, Andrzej Cichocki, Shun-ichi Amari:
Blind Source Separation with Convolutive Noise Cancellation. Neural Comput. Appl. 6(3): 127-141 (1997) - [j12]Fa-Long Luo, Rolf Unbehauen, Andrzej Cichocki:
A Minor Component Analysis Algorithm. Neural Networks 10(2): 291-297 (1997) - [j11]Shun-ichi Amari, Tianping Chen, Andrzej Cichocki:
Stability Analysis of Learning Algorithms for Blind Source Separation. Neural Networks 10(8): 1345-1351 (1997) - [j10]Andrzej Cichocki, Andrzej Bargiela:
Neural Networks for Solving Linear Inequality Systems. Parallel Comput. 22(11): 1455-1475 (1997) - [j9]Scott C. Douglas, Andrzej Cichocki:
On-Line Step-Size Selection for Training of Adaptive Systems. IEEE Signal Process. Mag. 14(6): 45-46 (1997) - [j8]Scott C. Douglas, Andrzej Cichocki:
Neural networks for blind decorrelation of signals. IEEE Trans. Signal Process. 45(11): 2829-2842 (1997) - [c19]Tadeusz Lobos, Andrzej Cichocki, Pawel Kostyla, Zbigniew Waclawek:
Adaptive On-line Learing Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal Signals. ICANN 1997: 1193-1198 - [c18]Janusz Mazurek, Adam Krzyzak, Andrzej Cichocki:
Rates of convergence of the recursive radial basis function networks. ICASSP 1997: 3317-3320 - [c17]Ruck Thawonmas, Andrzej Cichocki:
Blind extraction of source signals with specified stochastic features. ICASSP 1997: 3353-3356 - [c16]Stanislaw Osowski, Andrzej Majkowski, Andrzej Cichocki:
Robust PCA neural networks for random noise reduction of the data. ICASSP 1997: 3397-3400 - [c15]Andrzej Cichocki, Ruck Thawonmas, Shun-ichi Amari:
Dual cascade networks for blind signal extraction. ICNN 1997: 2135-2140 - [c14]Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki:
Information backpropagation for blind separation of sources in nonlinear mixture. ICNN 1997: 2141-2146 - [c13]Shun-ichi Amari, Ta Chen, Andrzej Cichocki:
Non-Holonomic Constraints in Learning Blind Source Separation. ICONIP (1) 1997: 633-636 - [c12]Andrew D. Back, Andrzej Cichocki:
Blind Source Separation and Deconvolution of Fast Sampled Signals. ICONIP (1) 1997: 637-640 - [c11]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. ICONIP (1) 1997: 641-644 - [c10]Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki:
Natural Gradient Learning Algorithms for Decorrelation. ICONIP (1) 1997: 645-648 - [c9]Andrzej Cichocki, Jianting Cao, L. Sabala:
On-line Adaptive Algorithms for Blind Equalization of Multi-Channel Systems. ICONIP (1) 1997: 649-652 - [c8]Roberto J. Bayardo Jr., William Bohrer, Richard S. Brice, Andrzej Cichocki, Jerry Fowler, Abdelsalam Helal, Vipul Kashyap, Tomasz Ksiezyk, Gale Martin, Marian H. Nodine, Mosfeq Rashid, Marek Rusinkiewicz, Ray Shea, C. Unnikrishnan, Amy Unruh, Darrell Woelk:
InfoSleuth: Semantic Integration of Information in Open and Dynamic Environments (Experience Paper). SIGMOD Conference 1997: 195-206 - [c7]Roberto J. Bayardo Jr., William Bohrer, Richard S. Brice, Andrzej Cichocki, Jerry Fowler, Abdelsalam Helal, Vipul Kashyap, Tomasz Ksiezyk, Gale Martin, Marian H. Nodine, Mosfeq Rashid, Marek Rusinkiewicz, Ray Shea, C. Unnikrishnan, Amy Unruh, Darrell Woelk:
The InfoSleuth Project. SIGMOD Conference 1997: 543-545 - 1996
- [j7]Piotr Krychniak, Marek Rusinkiewicz, Andrzej Cichocki, Amit P. Sheth, Gomer Thomas:
Bounding the Effects of Compensation under Relaxed Multi-level Serializability. Distributed Parallel Databases 4(4): 355-374 (1996) - [j6]Wladyslaw Skarbek, Andrzej Cichocki:
Robust Image Association by Recurrent Neural Subnetworks. Neural Process. Lett. 3(3): 131-138 (1996) - [c6]Dominique Jean, Andrzej Cichocki, Marek Rusinkiewicz:
A Database Environment for Workflow Specification and Execution. CODAS 1996: 402-411 - [c5]Wlodzimierz Kasprzak, Andrzej Cichocki:
Recurrent least square learning for quasi-parallel principal component analysis. ESANN 1996 - [c4]Andrzej Cichocki, Wlodzimierz Kasprzak, Shun-ichi Amari:
Neural network approach to blind separation and enhancement of images. EUSIPCO 1996: 1-4 - [c3]Andrzej Cichocki, Pawel Kostyla, Tadeusz Lobos, Zbigniew Waclawek:
Adaptive neural networks for robust estimation of parameters of noisy harmonic signals. EUSIPCO 1996: 1-4 - [c2]Wlodzimierz Kasprzak, Andrzej Cichocki:
Hidden image separation from incomplete image mixtures by independent component analysis. ICPR 1996: 394-398 - 1995
- [j5]Andrzej Cichocki, Rolf Unbehauen, Markus Lendl, Klaus Weinzierl:
Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction. Neurocomputing 8(1): 7-41 (1995) - [c1]Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang:
A New Learning Algorithm for Blind Signal Separation. NIPS 1995: 757-763 - 1994
- [j4]Andrzej Cichocki, Rolf Unbehauen:
Simplified neural networks for solving linear least squares and total least squares problems in real time. IEEE Trans. Neural Networks 5(6): 910-923 (1994) - 1993
- [b1]Andrzej Cichocki, Rolf Unbehauen:
Neural networks for optimization and signal processing. Wiley 1993, ISBN 978-0-471-93010-5, pp. I-XVII, 1-526 - 1992
- [j3]Andrzej Cichocki, Rolf Unbehauen:
Neural networks for computing eigenvalues and eigenvectors. Biol. Cybern. 68(2): 155-164 (1992) - [j2]Marek Rusinkiewicz, Piotr Krychniak, Andrzej Cichocki:
Towards a Model for Multidatabase Transactions. Int. J. Cooperative Inf. Syst. 1(3-4): 579-618 (1992) - 1991
- [j1]Andrzej Cichocki, Rolf Unbehauen:
Switched-capacitor neural networks for differential optimization. Int. J. Circuit Theory Appl. 19(2): 161-187 (1991)
Coauthor Index
[j180] [j175] [i12] [i8] [j126] [j117] [b3] [j89] [j88] [c109] [c108] [c104] [c99] [j68] [j65] [j64] [j63] [c87] [c83] [c82] [c79] [j57] [j54] [j52] [j51] [c55] [j49] [j44] [c51] [b2] [j40] [j38] [j37] [j32] [c38] [c37] [j30] [j27] [c33] [j22] [j21] [c26] [c23] [j20] [j18] [j17] [j16] [j13] [j11] [c15] [c14] [c13] [c11] [c10] [c4] [c1]
Maame G. Asante-Mensah
aka: Maame Gyamfua Asante-Mensah
aka: Maame Gyamfua Asante-Mensah
Cesar F. Caiafa
aka: Cesar Federico Caiafa
aka: Cesar Federico Caiafa
Jordi Solé i Casals
aka: Jordi Solé-Casals
aka: Jordi Solé-Casals
Sergio Cruces
aka: Sergio Antonio Cruces-Alvarez
aka: Sergio Antonio Cruces-Alvarez
[j278] [j276] [j275] [j274] [c281] [i67] [j265] [j264] [c280] [i66] [i65] [i64] [i63] [i61] [j260] [c279] [i60] [i59] [i58] [j249] [j248] [j241] [j240] [j239] [c278] [c276] [j229] [j228] [j226] [j225] [c273] [c271] [i54] [i48] [j217] [j212] [i39] [j202] [j198] [j197] [c256] [c255] [c254] [c253] [i36] [i35] [i34] [j190] [j184] [c246] [c244] [i33] [i31] [i30] [j168] [j161] [j160] [c236] [c235] [c233] [i24] [c225] [c224] [i21] [i19] [j147] [j144] [j143] [j138] [j137] [c209] [c208] [c207] [c205] [c204] [j135] [j134] [c196] [c195] [c192] [c191] [c190] [c189] [c186] [c183] [i6] [i5] [i2] [j124] [j123] [c172] [c171] [j119] [c154] [c147] [c146] [c144] [b3] [j109] [c139] [c138] [c137] [c135] [j97] [c112] [c98]
François B. Vialatte
aka: François-Benoît Vialatte
aka: François-Benoît Vialatte
[j260] [j252] [c277] [j221] [c266] [i43] [j209] [c264] [c257] [j202] [c252] [i38] [i36] [j190] [j189] [j186] [j180] [j179] [j177] [c250] [c249] [c248] [c245] [c243] [c241] [i32] [i31] [j172] [j168] [j164] [c240] [c237] [i27] [i26] [i23] [j158] [j156] [j153] [j150] [c227] [c218] [c217] [i22] [i19] [i18] [i12] [j147] [j145] [j141] [c214] [c213] [c206] [j135] [j131] [c200] [c199] [c196] [c193] [c190] [c183] [c178] [i4] [c170] [c169] [c159] [j121] [c149] [c140] [c138] [j97] [c115]
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