An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies. - Yassine El Ouahidi; Matis Feller; Matthieu Talagas; Bastien Pasdeloup (CoRR, 2020)

Une approche pour regrouper des sujets atteints de cancers, sur la base des similarités des répartitions cellulaires au sein de leurs biopsies. - Yassine El Ouahidi; Matis Feller; Matthieu Talagas; Bastien Pasdeloup (EGC, 2021)

Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. - Yassine El Ouahidi; Hugo Tessier; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (EUSIPCO, 2022)

Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. - Yassine El Ouahidi; Lucas Drumetz; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (ICASSP, 2023)

A Strong and Simple Deep Learning Baseline for BCI MI Decoding. - Yassine El Ouahidi; Vincent Gripon; Bastien Pasdeloup; Ghaith Bouallegue; Nicolas Farrugia; Giulia Lioi (CoRR, 2023)

Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding. - Yassine El Ouahidi; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (EUSIPCO, 2024)