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ORCIDEsma Mansouri-Benssassi
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2020 – today
- 2023
[j3]Esma Mansouri-Benssassi
, Juan Ye:
Investigating Multisensory Integration in Emotion Recognition Through Bio-Inspired Computational Models. IEEE Trans. Affect. Comput. 14(2): 906-918 (2023)- [c5]Kwun Ho Ngan, James Phelan, Esma Mansouri-Benssassi, Joe Townsend, Artur S. d'Avila Garcez:
Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks. NeSy 2023: 19-43 - [p1]Joe Townsend, Esma Mansouri-Benssassi, Kwun Ho Ngan, Artur d'Avila Garcez:
Discovering Visual Concepts and Rules in Convolutional Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 337-372 - 2022
- [i2]Emily R. Jefferson, James Liley, Maeve Malone, Smarti Reel, Alba Crespi-Boixader, Xaroula Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Simon Rogers, Jim Smith:
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs). CoRR abs/2211.01656 (2022) - 2021
- [j2]Esma Mansouri-Benssassi, Juan Ye:
Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks. Soft Comput. 25(3): 1717-1730 (2021) - [i1]Esma Mansouri-Benssassi, Simon Rogers, Jim Smith, Felix Ritchie, Emily R. Jefferson:
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities. CoRR abs/2111.05628 (2021) - 2020
- [b1]Esma Mansouri-Benssassi:
Bio-inspired multisensory integration of social signals. University of St Andrews, UK, 2020 - [c4]Esma Mansouri-Benssassi, Juan Ye:
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks. AAAI 2020: 1351-1358
2010 – 2019
- 2019
- [c3]Esma Mansouri-Benssassi, Juan Ye:
Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks. IJCNN 2019: 1-8 - 2018
- [j1]Esma Mansouri-Benssassi, Juan-Carlos Gomez, LouAnne E. Boyd, Gillian R. Hayes, Juan Ye:
Wearable Assistive Technologies for Autism: Opportunities and Challenges. IEEE Pervasive Comput. 17(2): 11-21 (2018) - [c2]Esma Mansouri-Benssassi, Juan Ye:
Bio-Inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation. TPNC 2018: 426-437 - 2017
- [c1]Esma Mansouri-Benssassi:
A decentralised multimodal integration of social signals: a bio-inspired approach. ICMI 2017: 633-637
Coauthor Index
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