Publications

Cognitive, emotional, and social factors promoting psychosocial adaptation: a study of latent profiles in people living in socially vulnerable contexts

Authors: Agustín Ibáñez, Carriedo, N., Rodríguez-Villagra, O. A., Moguilner, S., Morales-Sepulveda, J. P., Huepe-Artigas, D., Soto, V., Franco-O'Byrne, D., Bekinschtein, T. A., & Huepe, D.

Publication Date: 11/04/2024

Journal: Frontiers in psychology

Abstract: We explore how cognitive (working memory, verbal intelligence, self-regulation), social (affective empathy, family networks, loneliness) and psychological (locus of control, self-e...

See paper

Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition

Authors: Agustín Ibáñez, Moguilner, S., Herzog, R., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C., Kringelbach, M., Deco, G., & Tagliazucchi, E.

Publication Date: 11/04/2024

Journal: Alzheimer's research & therapy

Abstract: In this work we use computational models to investigate mechanisms underlying the development of neurodegenerative diseases, focusing on the possibility of different mechanisms ass...

See paper

Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems

Authors: Gonzalo A. Ruz, Ortega-Bolaños, R., Bernal-Salcedo, J., Germán Ortiz, M., Galeano Sarmiento, J., & Tabares-Soto, R.

Publication Date: 05/04/2024

Journal: Artificial Intelligence Review

Abstract: This review has focused on gathering information on the current state of AI ethics, continuing with the creation of a base framework for the responsible development of AI-based sol...

See paper

A flexible Clayton-like spatial copula with application to bounded support data

Authors: Moreno Bevilacqua, Alvarado, E., & Caamaño-Carrillo, C.

Publication Date: 07/03/2024

Journal: Journal of Multivariate Analysis

Abstract: In this paper, we propose a new spatial copula model that makes it possible to obtain random fields with arbitrary marginal distributions with a type of dependence that can be refl...

See paper

A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

Authors: Gonzalo A. Ruz, Holguin-Garcia, S. A., Guevara-Navarro, E., Daza-Chica, A. E., Patiño-Claro, M. A., Arteaga-Arteaga, H. B., Tabares-Soto, R., & Bravo-Ortiz, M. A.

Publication Date: 01/03/2024

Journal: BMC medical informatics and decision making

Abstract: In this paper, a comparison was made between different models for binary and multiclass classification of the epileptic seizure detection database, achieving a binary accuracy of 9...

See paper

Predicting passenger satisfaction in public transportation using machine learning models

Authors: Rolando de la Cruz, Ruiz, E., Yushimito, W. F., Aburto, L.

Publication Date: 15/02/2024

Journal: Transportation Research Part A: Policy and Practice

Abstract: This paper has undertaken a comprehensive assessment of four distinct machine learning models – Decision Trees, SVM, Neural Networks, and Random Forest – in the context of pred...

See paper