Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data. - Martín Bayón-Gutiérrez; José Alberto Benítez-Andrades; Sergio Rubio-Martín; Jose Aveleira-Mata; Héctor Alaiz-Moretón; María Teresa García-Ordás (HAIS, 2022)

Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts. - Sergio Rubio-Martín; María Teresa García-Ordás; Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; José Alberto Benítez-Andrades (CBMS, 2023)

Multispecies bird sound recognition using a fully convolutional neural network. - María Teresa García-Ordás; Sergio Rubio-Martín; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Isaías García-Rodríguez (Appl. Intell., 2023)

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. - Martín Bayón-Gutiérrez; María Teresa García-Ordás; Héctor Alaiz-Moretón; Jose Aveleira-Mata; Sergio Rubio-Martín; José Alberto Benítez-Andrades (CoRR, 2024)

Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. - Sergio Rubio-Martín; María Teresa García-Ordás; Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; José Alberto Benítez-Andrades (Health Inf. Sci. Syst., 2024)

Enhancing Radiomic Feature Robustness Through Voxel Spacing-Aware Extraction in Anisotropic CT Data. - David Corral Fontecha; Pablo Menéndez Fernández-Miranda; Sergio Rubio-Martín; Alicia Merayo-Corcoba; Laura López-González; Lara Lloret Iglesias; José Antonio Vega (CBMS, 2025)

Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes. - Sergio Rubio-Martín; Arturo Crespo-Álvaro; María Teresa García-Ordás; Antonio Serrano-García; Clara Margarita Franch-Pato; José Alberto Benítez-Andrades (CBMS, 2025)

AI-Driven Survival Prediction in Pancreatic Cancer. - Sergio Rubio-Martín; María Teresa García-Ordás; David Corral Fontecha; Laura López-González; Gonzalo Alonso-Oláiz; Arturo Crespo-Álvaro; José Alberto Benítez-Andrades (CBMS, 2025)

Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach. - Sergio Rubio-Martín; María Teresa García-Ordás; Antonio Serrano-García; Clara Margarita Franch-Pato; Arturo Crespo-Álvaro; José Alberto Benítez-Andrades (PeerJ Comput. Sci., 2025)