CPrefMiner: An Algorithm for Mining User Contextual Preferences Based on Bayesian Networks. - Sandra de Amo; Marcos L. P. Bueno; Guilherme Alves 001; Nádia Félix F. da Silva (ICTAI, 2012)

Mining User Contextual Preferences. - Sandra de Amo; Marcos L. P. Bueno; Guilherme Alves 001; Nádia Félix F. da Silva (J. Inf. Data Manag., 2013)

Visual Perception Similarities to Improve the Quality of User Cold Start Recommendations. - Crícia Z. Felício; Claudianne M. M. de Almeida; Guilherme Alves 001; Fabíola Souza F. Pereira; Klérisson Vinícius Ribeiro Paixão; Sandra de Amo (Canadian AI, 2016)

VP-Rec: A Hybrid Image Recommender Using Visual Perception Network. - Crícia Z. Felício; Claudianne M. M. de Almeida; Guilherme Alves 001; Fabíola Souza F. Pereira; Klérisson Vinícius Ribeiro Paixão; Sandra de Amo; Célia A. Z. Barcelos (ICTAI, 2016)

Exploiting Social Information in Pairwise Preference Recommender System. - Crícia Z. Felício; Klérisson V. R. Paixão; Guilherme Alves 001; Sandra de Amo; Philippe Preux (J. Inf. Data Manag., 2016)

A Framework for Online Clustering Based on Evolving Semi-Supervision. - Guilherme Alves 001; Maria Camila Nardini Barioni; Elaine R. Faria (SBBD, 2017)

Making ML Models Fairer Through Explanations: The Case of LimeOut. - Guilherme Alves 001; Vaishnavi Bhargava; Miguel Couceiro; Amedeo Napoli (AIST, 2020)

Sélection de mesures de similarité pour la classification de données catégorielles. - Amedeo Napoli; Miguel Couceiro; Guilherme Alves 001 (EGC, 2020)

Reducing Unintended Bias of ML Models on Tabular and Textual Data. - Guilherme Alves 001; Maxime Amblard; Fabien Bernier; Miguel Couceiro; Amedeo Napoli (DSAA, 2021)

Survey on Fairness Notions and Related Tensions. - Guilherme Alves 001; Fabien Bernier; Miguel Couceiro; Karima Makhlouf; Catuscia Palamidessi; Sami Zhioua (CoRR, 2022)