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Artificial Neural Networks in Pattern Recognition

11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10–12, 2024, Proceedings

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  • © 2024
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Overview

Editors:
  1. Ching Yee Suen

    1. Concordia University, Montreal, Canada

  2. Adam Krzyzak

    1. Concordia University, Montreal, Canada

  3. Mirco Ravanelli

    1. Concordia University, Montreal, Canada

  4. Edmondo Trentin

    1. Università degli Studi di Siena, Siena, Italy

  5. Cem Subakan

    1. Université Laval, Quebec, Canada

  6. Nicola Nobile

    1. Concordia University, Montreal, Canada

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15154)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ANNPR 2024.

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About this book

This book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held in Montreal, QC, Canada, during October 10–12, 2024.

The 27 full papers presented together were carefully reviewed and selected from 46 submissions. The conference focuses on: learning algorithms and architectures; applications in medical and health sciences; applications in computer vision; applications in NLP, speech, and music; applications in environmental and biological sciences.

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Table of contents (27 papers)

  1. Front Matter

    Pages i-xi
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  2. Learning Algorithms and Architectures

    1. Front Matter

      Pages 1-1
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    2. Learning Graph Matching with Graph Neural Networks

      • Kalvin Dobler, Kaspar Riesen
      Pages 3-12

    3. Gaussian-Mixture Neural Networks

      • Duccio Meconcelli, Edmondo Trentin
      Pages 13-24

    4. Neural Decompiling of Tracr Transformers

      • Hannes Thurnherr, Kaspar Riesen
      Pages 25-36

    5. Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data

      • Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Alessandro Betti, Marco Gori, Stefano Melacci
      Pages 37-48

    6. Robust Clustering with McDonald’s Beta-Liouville Mixture Models for Proportional Data

      • Oussama Sghaier, Manar Amayri, Nizar Bouguila
      Pages 49-60

    7. Evaluating Support Vector Machines with Multiple Kernels by Random Search

      • Shigeo Abe
      Pages 61-72

  3. Applications in Medical and Health Sciences

    1. Front Matter

      Pages 73-73
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    2. Automatic Interpretation of \(^{18}\)F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyroidism: A Novel Dataset with Benchmarks

      • Natasha Sharma, Sona Balogova, Lucia Noskovicova, Françoise Montravers, Jean-Noel Talbot, Edmondo Trentin
      Pages 75-86

    3. A Hybrid Neuroevolutionary Approach to the Design of Convolutional Neural Networks for 2D and 3D Medical Image Segmentation

      • Nivedha Ramesh, Tabish Ashfaq, Nawwaf Kharma
      Pages 87-98

    4. An Improved Pix2Pix GAN for Medical Image Generation

      • Yanlin Deng, Jingwen Ling, Xiaqing Rao, Jun Tan, Xiaoyong Fu, Sheng Li
      Pages 99-110

    5. Vision Transformer Features-Based Leukemia Classification

      • Karima Ben-Suliman, Adam Krzyżak
      Pages 111-120

    6. Comparative Study of Deep Learning Models in Melanoma Detection

      • Farnaz Haghshenas, Adam Krzyżak, Stanislaw Osowski
      Pages 121-131

    7. A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification

      • Akash Halder, Sugata Laha, Saptarshi Bandyopadhyay, Friedhelm Schwenker, Ram Sarkar
      Pages 132-143

    8. Machine Learning for Clinical Score Prediction from Longitudinal Dataset: A Case Study on Parkinson’s Disease

      • Nourin Ahmed, Ziad Kobti
      Pages 144-155

    9. Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task

      • Davide Borra, Mirco Ravanelli
      Pages 156-167

    10. Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks

      • Davide Borra, Matteo Fraternali, Mirco Ravanelli, Elisa Magosso
      Pages 168-179

  4. Applications in Computer Vision

    1. Front Matter

      Pages 181-181
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    2. VAeViT: Fusing Multi-views for Complete 3D Object Recognition

      • Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila
      Pages 183-194
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Other volumes

  1. Artificial Neural Networks in Pattern Recognition

Editors and Affiliations

  • Concordia University, Montreal, Canada

    Ching Yee Suen, Adam Krzyzak, Mirco Ravanelli, Nicola Nobile

  • Università degli Studi di Siena, Siena, Italy

    Edmondo Trentin

  • Université Laval, Quebec, Canada

    Cem Subakan

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