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2020 – today
- 2024
[j9]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. IEEE Trans. Intell. Transp. Syst. 25(11): 18779-18790 (2024)- [i9]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. CoRR abs/2403.02845 (2024) - [i8]Usama Saqib, Letizia Marchegiani, Jesper Rindom Jensen:
A machine learning framework for acoustic reflector mapping. CoRR abs/2409.12094 (2024) - 2023
- [c19]Brynjar Örn Grétarsson, Charalampos Orfanidis, Letizia Marchegiani, Xenofon Fafoutis:
Short-Term Wireless Connectivity Prediction for Connected Agricultural Vehicles. ITSC 2023: 5864-5869 - 2022
- [j8]Fabian Fernando Jurado Lasso
, Letizia Marchegiani, Jesús Fabian Jurado, Adnan M. Abu-Mahfouz, Xenofon Fafoutis:
A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges. IEEE Access 10: 23560-23592 (2022) - [j7]Dimitri Ognibene, Tom Foulsham, Letizia Marchegiani, Giovanni Maria Farinella:
Editorial: Active Vision and Perception in Human-Robot Collaboration. Frontiers Neurorobotics 16: 848065 (2022) - [j6]Letizia Marchegiani, Xenofon Fafoutis:
How Well Can Driverless Vehicles Hear? An Introduction to Auditory Perception for Autonomous and Smart Vehicles. IEEE Intell. Transp. Syst. Mag. 14(3): 92-105 (2022) - [j5]Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade:
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images. IEEE Robotics Autom. Lett. 7(2): 2913-2920 (2022) - [j4]Letizia Marchegiani, Paul Newman:
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. IEEE Trans. Intell. Transp. Syst. 23(10): 17087-17096 (2022) - 2021
- [i7]Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade:
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images. CoRR abs/2109.07245 (2021) - [i6]Petar Popovski, Federico Chiariotti, Victor Croisfelt, Anders E. Kalør, Israel Leyva-Mayorga, Letizia Marchegiani, Shashi Raj Pandey, Beatriz Soret:
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value. CoRR abs/2111.05811 (2021) - 2020
- [j3]Pawel Zalewski, Letizia Marchegiani, Atis Elsts, Robert J. Piechocki, Ian Craddock, Xenofon Fafoutis:
From Bits of Data to Bits of Knowledge - An On-Board Classification Framework for Wearable Sensing Systems. Sensors 20(6): 1655 (2020) - [c18]Galadrielle Humblot-Renaux, Vivian Li, Daniela Pinto, Letizia Marchegiani:
Thermal Imaging on Smart Vehicles for Person and Road Detection: Can a Lazy Approach Work? ITSC 2020: 1-6 - [c17]David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. ITSC 2020: 1-6 - [c16]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. IV 2020: 150-155 - [i5]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. CoRR abs/2005.02031 (2020) - [i4]David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. CoRR abs/2005.05175 (2020)
2010 – 2019
- 2019
- [j2]Letizia Marchegiani, Xenofon Fafoutis:
Word Spotting in Background Music: a Behavioural Study. Cogn. Comput. 11(5): 711-718 (2019) - [c15]Xenofon Fafoutis, Letizia Marchegiani:
Rethinking IoT Network Reliability in the Era of Machine Learning. iThings/GreenCom/CPSCom/SmartData 2019: 1112-1119 - [c14]Tze Ho Elden Tse, Daniele De Martini, Letizia Marchegiani:
No Need to Scream: Robust Sound-Based Speaker Localisation in Challenging Scenarios. ICSR 2019: 176-185 - [c13]Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani:
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions Through Monte-Carlo Planning in POMDP Environments. ICSR 2019: 332-343 - [i3]Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani:
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments. CoRR abs/1908.10125 (2019) - [i2]Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour Abarghouei, James Garforth, Toby P. Breckon:
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. CoRR abs/1912.05684 (2019) - 2018
- [c12]Letizia Marchegiani, Ingmar Posner:
Long-Term Driving Behaviour Modelling for Driver Identification. ITSC 2018: 913-919 - [c11]Letizia Marchegiani, Paul Newman:
Learning to Listen to Your Ego-(motion): Metric Motion Estimation from Auditory Signals. TAROS 2018: 247-259 - [c10]Xenofon Fafoutis, Letizia Marchegiani, Atis Elsts, James Pope, Robert J. Piechocki, Ian Craddock:
Extending the battery lifetime of wearable sensors with embedded machine learning. WF-IoT 2018: 269-274 - [i1]Letizia Marchegiani, Paul Newman:
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. CoRR abs/1810.04989 (2018) - 2017
- [j1]Xenofon Fafoutis, Letizia Marchegiani, Georgios Z. Papadopoulos, Robert J. Piechocki, Theo Tryfonas, George C. Oikonomou:
Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems. IEEE Signal Process. Lett. 24(2): 136-140 (2017) - [c9]Letizia Marchegiani, Ingmar Posner:
Leveraging the urban soundscape: Auditory perception for smart vehicles. ICRA 2017: 6547-6554 - 2016
- [b1]Letizia Marchegiani:
Top-Down Attention Modelling in a Cocktail Party Scenario. Sapienza University of Rome, Italy, 2016 - [c8]Oliver Bartlett, Corina Gurau, Letizia Marchegiani, Ingmar Posner:
Enabling intelligent energy management for robots using publicly available maps. IROS 2016: 2224-2229 - 2015
- [c7]Peter Ondruska, Corina Gurau, Letizia Marchegiani, Chi Hay Tong, Ingmar Posner:
Scheduled perception for energy-efficient path following. ICRA 2015: 4799-4806 - 2013
- [c6]Letizia Marchegiani, Xenofon Fafoutis:
A Behavioral Study on the Effects of Rock Music on Auditory Attention. HBU 2013: 15-26 - 2011
- [c5]Lars Kai Hansen, Seliz G. Karadogan, Letizia Marchegiani:
What to measure next to improve decision making? On top-down task driven feature saliency. CCMB 2011: 81-87 - [c4]Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen:
How efficient is estimation with missing data? ICASSP 2011: 2260-2263 - [c3]Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen:
The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. ICMLA (1) 2011: 183-188 - [c2]Seliz G. Karadogan, Letizia Marchegiani, Jan Larsen, Lars Kai Hansen:
Top-down attentionwith features missing at random. MLSP 2011: 1-6
2000 – 2009
- 2009
- [c1]Maria Letizia Marchegiani, Fiora Pirri, Matia Pizzoli:
Multimodal Speaker Recognition in a Conversation Scenario. ICVS 2009: 11-20
Coauthor Index
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