Fast Gaussian Naïve Bayes for searchlight classification analysis. - Marlis Ontivero-Ortega; Agustin Lage-Castellanos; Giancarlo Valente; Rainer Goebel; Mitchell Valdés-Sosa (NeuroImage, 2017)

Objects seen as scenes: Neural circuitry for attending whole or parts. - Mitchell Valdés-Sosa; Marlis Ontivero-Ortega; Jorge Iglesias-Fuster; Agustin Lage-Castellanos; Jinnan Gong; Cheng Luo; Ana Maria Castro-Laguardia; Maria Antonieta Bobes; Daniele Marinazzo; Dezhong Yao 001 (NeuroImage, 2020)

Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials. - Elsa Santos Febles; Marlis Ontivero-Ortega; Michell Valdés Sosa; Hichem Sahli (Frontiers Neuroinformatics, 2022)

Intra-V1 functional networks and classification of observed stimuli. - Marlis Ontivero-Ortega; Jorge Iglesias-Fuster; Jhoanna Perez-Hidalgo; Daniele Marinazzo; Mitchell Valdés-Sosa; Pedro A. Valdés-Sosa (Frontiers Neuroinformatics, 2024)

HOI: A Python toolbox for high-performance estimation of Higher-Order Interactions from multivariate data. - Matteo Neri; Dishie Vinchhi; Christian Ferreyra; Thomas Robiglio; Onur Ates; Marlis Ontivero-Ortega; Andrea Brovelli; Daniele Marinazzo; Etienne Combrisson (J. Open Source Softw., 2024)

Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. - Marta Iovino; Marlis Ontivero-Ortega; Chiara Barà; Sebastiano Stramaglia; Michal Javorka; Riccardo Pernice; Luca Faes (COINS, 2025)

Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease. - Marlis Ontivero-Ortega; Alessandro Fania; Antonio Lacalamita; Roberto Bellotti; Alfonso Monaco; Sebastiano Stramaglia (CoRR, 2025)