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Journal of Applied Toxicology : JAT|July 2, 2026
A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In VivoIuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra CaldasHeliyon|May 17, 2024
A machine-learning approach to investigating the complexity of theory of mind in individuals with schizophreniaFrancesca Marina Bosco, Livia Colle, Rogerio Salvini, et al.Studies in Health Technology and Informatics|August 12, 2015
A Multi-Relational Model for Depression Relapse in Patients with Bipolar DisorderRogerio Salvini, Rodrigo da Silva Dias, Beny Lafer, et al.NPJ Schizophrenia|May 25, 2021
Multimodal assessment of communicative-pragmatic features in schizophrenia: a machine learning approachAlberto Parola, Ilaria Gabbatore, Laura Berardinelli, et al.Plos One|March 4, 2020
Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learningAlberto Parola, Rogerio Salvini, Ilaria Gabbatore, et al.Journal of Affective Disorders|November 13, 2018
Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approachGabriel Okawa Belizario, Renato Gomes Borges Junior, Rogerio Salvini, et al.Journal of Affective Disorders|September 12, 2021
Exploring machine learning to predict depressive relapses of bipolar disorder patientsLuisa de Siqueira Rotenberg, Renato Gomes Borges-Júnior, Beny Lafer, et al.BMC Psychiatry|July 25, 2024
Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy centerPaula Villela Nunes, Livia Mancine, Beatriz Astolfi Neves, et al.Revista De Saude Publica|June 1, 2022
Microcephaly measurement in adults and its association with clinical variablesNicole Rezende da Costa, Livia Mancine, Rogerio Salvini, et al.Pageof 1