activity
20242026
most citedEnhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing

51 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI

David Corral Fontecha, Juan Miranda Bautista, Pablo Menendez Fernández-Miranda +3

Objective: Radiomic texture features are usually computed in voxel-index neighborhoods, implicitly assuming isotropic spatial relationships. In anisotropic images, this can confoun…

cs.LG2025★ 4 cited

Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach

Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García +3

The classification of clinical notes into specific diagnostic categories is critical in healthcare, especially for mental health conditions like Anxiety and Adjustment Disorder. In…

cs.CV2024★ 6 cited

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection

Martín Bayón-Gutiérrez, María Teresa García-Ordás, Héctor Alaiz Moretón +3

Robust road surface estimation is required for autonomous ground vehicles to navigate safely. Despite it becoming one of the main targets for autonomous mobility researchers in rec…

cs.CL2024★ 51 cited

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 +2

Purpose: Our study explored the use of artificial intelligence (AI) to diagnose autism spectrum disorder (ASD). It focused on machine learning (ML) and deep learning (DL) to detect…

cs.SD2024★ 18 cited

Multispecies bird sound recognition using a fully convolutional neural network

María Teresa García-Ordás, Sergio Rubio-Martín, José Alberto Benítez-Andrades +2

This study proposes a method based on fully convolutional neural networks (FCNs) to identify migratory birds from their songs, with the objective of recognizing which birds pass th…