Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes. - Thalita F. Drumond; Thierry Viéville; Frédéric Alexandre (Frontiers Comput. Neurosci., 2018)

Interactions between hierarchical learning and visual system modeling: image classification on small datasets. (Apports croisées de l'apprentissage hiérarchique et la modélisation du système visuel: catégorisation d'images sur des petits corpus de données). - Thalita F. Drumond (2020)

Exploring multiobjective training in multiclass classification. - Marcos M. Raimundo; Thalita F. Drumond; Alan Caio R. Marques; Christiano Lyra; Anderson Rocha 001; Fernando J. Von Zuben (Neurocomputing, 2021)

Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. - Cássio Fraga Dantas; Thalita F. Drumond; Diego Marcos; Dino Ienco (ECML/PKDD (7), 2023)