Back to basics to open the black box - Diego Marcondes; Adilson Simonis; Junior Barrera (Nat. Mac. Intell., 2024)

The role of prior information and computational power in Machine Learning - Diego Marcondes; Adilson Simonis; Junior Barrera (CoRR, 2022)

Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection - Diego Marcondes; Adilson Simonis; Junior Barrera (CoRR, 2021)

Feature Selection based on the Local Lift Dependence Scale - Diego Marcondes; Adilson Simonis; Junior Barrera (Entropy, 2018)

Feature Selection based on the Local Lift Dependence Scale - Diego Marcondes; Adilson Simonis; Junior Barrera (CoRR, 2017)

Indifference, neutrality and informativeness: generalizing the three prisoners paradox - Sergio Wechsler; Luís Gustavo Esteves; Adilson Simonis; Claudia Peixoto (Synth., 2005)