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2021

Torres M. J., Ravanelli M., Medina-Devilliers S., Lerner D. M. and Riccardi G.

Interpretable SincNet-based Deep Learning for Emotion Recognition in Individuals with Autism (Conference)

IEEE Conf. Engineering in Medicine and Biology, Conference, 2021.

(Links | BibTeX | Tags: Affective Computing, Autism, Machine Learning, Signal Annotation and Interpretation)

Torres M. J., Clarkson T., Hauschild K., Luhmann C. C., Lerner D. M. and Riccardi G.

Facial emotions are accurately encoded in the brains of those with autism: A deep learning approach (Article)

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2021.

(Links | BibTeX | Tags: Affective Computing, Autism, Machine Learning, Signal Annotation and Interpretation)

2019

Mayor Torres, J.M., Clarkson, T., Luhmann, C. C., Riccardi, G., Lerner, M.D.

Distinct but Effective Neural Networks for Facial Emotion Recognition in Individuals with Autism: A Deep Learning Approach (Conference)

2019.

(Links | BibTeX | Tags: Affective Computing, Autism, Machine Learning)

2018

Mayor Torres, J.M., Libsack, E.J., Clarkson, T., Keifer, C.M., Riccardi, G., Lerner, M.D.

EEG-based Single trial Classification Emotion Recognition: A Comparative Analysis in Individuals with and without Autism Spectrum Disorder (Conference)

2018.

(Links | BibTeX | Tags: Affective Computing, Autism)

Mayor Torres, J.M., Clarkson, T., Stepanov E. A. , Luhmann C. C., Lerner, M.D., Riccardi, G.

Enhanced Error Decoding from Error-Related Potentials using Convolutional Neural Networks (Conference)

2018.

(Links | BibTeX | Tags: Affective Computing, Autism, Machine Learning)