The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications. - Michele Cancilla; Laura Canalini; Federico Bolelli; Stefano Allegretti; Salvador Carrión; Roberto Paredes; Jon Ander Gómez; Simone Leo; Marco Enrico Piras; Luca Pireddu; Asaf Badouh; Santiago Marco-Sola; et al. (ICPR, 2020)

Quasi Character-Level Transformers to Improve Neural Machine Translation on Small Datasets. - Salvador Carrión; Francisco Casacuberta (SNAMS, 2021)

On the Effectiveness of Quasi Character-Level Models for Machine Translation. - Salvador Carrión-Ponz; Francisco Casacuberta (AMTA, 2022)

Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation. - Salvador Carrión-Ponz; Francisco Casacuberta (AMTA, 2022)

Incremental Vocabularies in Machine Translation Through Aligned Embedding Projections. - Salvador Carrión; Francisco Casacuberta (IbPRIA, 2022)

Automatic Detection of Epileptic Seizures with Recurrent and Convolutional Neural Networks. - Salvador Carrión; Álvaro López-Chilet; Javier Martínez-Bernia; Joan Coll-Alonso; Daniel Chorro-Juan; Jon Ander Gómez (ICIAP Workshops (1), 2022)

Detection of Pulmonary Conditions Using the DeepHealth Framework. - Salvador Carrión; Álvaro López-Chilet; Javier Martínez-Bernia; Joan Coll-Alonso; Daniel Chorro-Juan; Jon Ander Gómez (ICIAP Workshops (1), 2022)

Continual Vocabularies to Tackle the Catastrophic Forgetting Problem in Machine Translation. - Salvador Carrión; Francisco Casacuberta (IbPRIA, 2023)

AutoNMT: A Framework to Streamline the Research of Seq2Seq Models. - Salvador Carrión; Francisco Casacuberta (CoRR, 2023)