Salvador Carrión-Ponz

According to our database, Salvador Carrión-Ponz authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AutoNMT: A Framework to Streamline the Research of Seq2Seq Models.

Salvador Carrión, Francisco Casacuberta

CoRR, 2023

Continual Vocabularies to Tackle the Catastrophic Forgetting Problem in Machine Translation.

Salvador Carrión, Francisco Casacuberta

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

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

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 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

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Incremental Vocabularies in Machine Translation Through Aligned Embedding Projections.

Salvador Carrión, Francisco Casacuberta

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation.

Salvador Carrión-Ponz, Francisco Casacuberta

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

On the Effectiveness of Quasi Character-Level Models for Machine Translation.

Salvador Carrión-Ponz, Francisco Casacuberta

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

Quasi Character-Level Transformers to Improve Neural Machine Translation on Small Datasets.

Salvador Carrión, Francisco Casacuberta

Proceedings of the Eighth International Conference on Social Network Analysis, 2021

2020

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, Lluc Alvarez, Miquel Moretó, Costantino Grana

Proceedings of the 25th International Conference on Pattern Recognition, 2020