Deep brain state classification of MEG data. - Ismail Alaoui Abdellaoui; Jesús García Fernández; Caner Sahinli; Siamak Mehrkanoon (CoRR, 2020)

Deep coastal sea elements forecasting using U-Net based models. - Jesús García Fernández; Ismail Alaoui Abdellaoui; Siamak Mehrkanoon (CoRR, 2020)

Enhancing brain decoding using attention augmented deep neural networks. - Ismail Alaoui Abdellaoui; Jesús García Fernández; Caner Sahinli; Siamak Mehrkanoon (ESANN, 2021)

Exploring automatic liver tumor segmentation using deep learning. - Jesús García Fernández; Valerio Fortunati; Siamak Mehrkanoon (IJCNN, 2021)

Towards biologically plausible learning in neural networks. - Jesús García Fernández; Enrique Hortal; Siamak Mehrkanoon (SSCI, 2021)

Broad-UNet: Multi-scale feature learning for nowcasting tasks. - Jesús García Fernández; Siamak Mehrkanoon (Neural Networks, 2021)

Deep coastal sea elements forecasting using UNet-based models. - Jesús García Fernández; Ismail Alaoui Abdellaoui; Siamak Mehrkanoon (Knowl. Based Syst., 2022)

Gradient-Free Training of Recurrent Neural Networks using Random Perturbations. - Jesús García Fernández; Sander W. Keemink; Marcel van Gerven (CoRR, 2024)

Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines. - Jesús García Fernández; Nasir Ahmad; Marcel van Gerven (CoRR, 2024)

Noise-based reward-modulated learning. - Jesús García Fernández; Nasir Ahmad; Marcel van Gerven (CoRR, 2025)