Author

J. Gil-González

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Open access Sep 2026

Transformer-Based Modeling of Directed Transfer Entropy Connectivity for EEG-Based ADHD Classification in Children

The Contextualized Transfer Entropy Network (CTE-Net) is proposed, an end-to-end deep-learning architecture that combines global content-based contextualization with nonlinear and directed EEG connectivity estimation and exhibited the lowest within-subject dispersion among the analyzed representation stages.

Alejandra Gomez-Rivera, J. D. Pastrana-Cortés, A. Álvarez-Meza et al. · Italian National Conference... · 0 citations

Open access Jul 2026

EEG-Based Supported Diagnosis of ADHD Using Subject-Specific HMMs and Stationary RKHS Embeddings

This work introduces Hidden Markov Model-Induced Stationary RKHS Distance Learning (HIS), a probabilistic framework that represents each subject by a Hidden Markov Model with Gaussian-mixture emissions trained directly from frontal EEG recordings.

Leonardo Lopez-Ortiz, Cristhian K. Valencia-Marin, J. Gil-González et al. · Italian National Conference... · 0 citations

Review Open access Jul 2026

Alignment-Aware 3D Point Cloud Anomaly Detection with Adversarial Normalizing Flows

An unsupervised framework that formulates 3D anomaly detection as a two-stage factorization problem, termed AdvFlow3D-AD, and an exploratory neurodevelopmental brain-shape case study involving pediatric perinatal-asphyxia cases suggest that separating geometric nuisance variation from residual morphology can support in...

A. Jiménez-García, Jonnatan Arias-Garcia, H. García et al. · Machine Learning and Knowled... · 0 citations