COVID-ViT: COVID-19 Detection Method Based on Vision Transformers. - Luis Balderas; Miguel Lastra; Antonio J. Láinez-Ramos-Bossini; José Manuel Benítez 001 (ISDA (3), 2022)

Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (CoRR, 2023)

Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal Prediction. - Luis Balderas; María Moreno de Castro; Miguel Lastra; José Pablo Martínez; Francisco Javier Pérez; Antonio Láinez; Antonio Arauzo-Azofra; José Manuel Benítez 001 (EXPLIMED@ECAI, 2024)

Optimizing Convolutional Neural Network Architecture. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (CoRR, 2024)

Optimizing dense feed-forward neural networks. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (Neural Networks, 2024)

An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning. - Luis Balderas; Miguel Lastra; José Manuel Benítez 001 (Big Data Cogn. Comput., 2024)