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ORCIDJuan Manuel Mayor Torres
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2020 – today
- 2023
[j1]Juan Manuel Mayor Torres
, Sara E. Medina-DeVilliers, Tessa Clarkson, Matthew D. Lerner, Giuseppe Riccardi:
Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism. Artif. Intell. Medicine 143: 102545 (2023)- 2021
- [c6]Juan Manuel Mayor Torres, Mirco Ravanelli, Sara E. Medina-DeVilliers, Matthew D. Lerner, Giuseppe Riccardi:
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity. EMBC 2021: 412-415 - [i2]Juan Manuel Mayor Torres, Mirco Ravanelli, Sara E. Medina-DeVilliers, Matthew D. Lerner, Giuseppe Riccardi:
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity. CoRR abs/2107.10790 (2021) - [i1]Juan Manuel Mayor Torres, Sara E. Medina-DeVilliers, Tessa Clarkson, Matthew D. Lerner, Giuseppe Riccardi:
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism. CoRR abs/2111.13208 (2021)
2010 – 2019
- 2018
- [c5]Juan Manuel Mayor Torres, Tessa Clarkson, Evgeny A. Stepanov, Christian C. Luhmann, Matthew D. Lerner, Giuseppe Riccardi:
Enhanced Error Decoding from Error-Related Potentials using Convolutional Neural Networks. EMBC 2018: 360-363 - [c4]Arindam Ghosh, Evgeny A. Stepanov, Juan Manuel Mayor Torres, Morena Danieli, Giuseppe Riccardi:
HEAL: A Health Analytics Intelligent Agent Platform for the acquisition and analysis of physiological signals. HealthCom 2018: 1-6 - 2017
- [c3]Juan Manuel Mayor Torres, Evgeny A. Stepanov:
Enhanced face/audio emotion recognition: video and instance level classification using ConvNets and restricted Boltzmann Machines. WI 2017: 939-946 - 2016
- [c2]Juan Manuel Mayor Torres, Arindam Ghosh, Evgeny A. Stepanov, Giuseppe Riccardi:
Heal-T: An efficient PPG-based heart-rate and IBI estimation method during physical exercise. EUSIPCO 2016: 1438-1442 - 2015
- [c1]Arindam Ghosh, Juan Manuel Mayor Torres, Morena Danieli, Giuseppe Riccardi:
Detection of essential hypertension with physiological signals from wearable devices. EMBC 2015: 8095-8098
Coauthor Index
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