Neural network methods for rule induction. - Ricardo Bezerra de Andrade e Silva; Teresa Bernarda Ludermir (IJCNN, 1999)

Obtaining Simplified Rule Bases by Hybrid Learning. - Ricardo Bezerra de Andrade e Silva; Teresa Bernarda Ludermir (ICML, 2000)

Data filtering for automatic classification of rocks from reflectance spectra. - Jonathan Moody; Ricardo Bezerra de Andrade e Silva; Joseph Vanderwaart (KDD, 2001)

Hybrid systems of local basis functions. - Ricardo Bezerra de Andrade e Silva; Teresa Bernarda Ludermir (Intell. Data Anal., 2001)

Classification and filtering of spectra: A case study in mineralogy. - Jonathan Moody; Ricardo Bezerra de Andrade e Silva; Joseph Vanderwaart; Joseph D. Ramsey; Clark Glymour (Intell. Data Anal., 2002)

Learning Measurement Models for Unobserved Variables. - Ricardo Bezerra de Andrade e Silva; Richard Scheines; Clark Glymour; Peter Spirtes (UAI, 2003)

New d-separation identification results for learning continuous latent variable models. - Ricardo Bezerra de Andrade e Silva; Richard Scheines (ICML, 2005)

Probabilistic workflow mining. - Ricardo Bezerra de Andrade e Silva; Jiji Zhang; James G. Shanahan (KDD, 2005)

Bayesian learning of measurement and structural models. - Ricardo Bezerra de Andrade e Silva; Richard Scheines (ICML, 2006)

Towards Association Rules with Hidden Variables. - Ricardo Bezerra de Andrade e Silva; Richard Scheines (PKDD, 2006)

Bayesian Inference for Gaussian Mixed Graph Models. - Ricardo Bezerra de Andrade e Silva; Zoubin Ghahramani (UAI, 2006)

Learning the Structure of Linear Latent Variable Models. - Ricardo Bezerra de Andrade e Silva; Richard Scheines; Clark Glymour; Peter Spirtes (J. Mach. Learn. Res., 2006)

Hidden Common Cause Relations in Relational Learning. - Ricardo Bezerra de Andrade e Silva; Wei Chu; Zoubin Ghahramani (NIPS, 2007)

Analogical Reasoning with Relational Bayesian Sets. - Ricardo Bezerra de Andrade e Silva; Katherine A. Heller; Zoubin Ghahramani (AISTATS, 2007)

Ranking Relations using Analogies in Biological and Information Networks - Ricardo Bezerra de Andrade e Silva; Katherine A. Heller; Zoubin Ghahramani; Edoardo M. Airoldi (CoRR, 2009)

The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models. - Ricardo Bezerra de Andrade e Silva; Zoubin Ghahramani (J. Mach. Learn. Res., 2009)

MCMC Methods for Bayesian Mixtures of Copulas. - Ricardo Bezerra de Andrade e Silva; Robert B. Gramacy (AISTATS, 2009)

Factorial Mixture of Gaussians and the Marginal Independence Model. - Ricardo Bezerra de Andrade e Silva; Zoubin Ghahramani (AISTATS, 2009)

Gaussian Process Structural Equation Models with Latent Variables. - Ricardo Bezerra de Andrade e Silva; Robert B. Gramacy (UAI, 2010)

Measuring Latent Causal Structure - Ricardo Bezerra de Andrade e Silva (CoRR, 2010)

Gaussian Process Structural Equation Models with Latent Variables - Ricardo Bezerra de Andrade e Silva (CoRR, 2010)

Causality. - Ricardo Bezerra de Andrade e Silva (Encyclopedia of Machine Learning, 2010)

Thinning Measurement Models and Questionnaire Design. - Ricardo Bezerra de Andrade e Silva (NIPS, 2011)

Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. - Edoardo M. Airoldi; Katherine A. Heller; Ricardo Bezerra de Andrade e Silva (Bioinform., 2011)

Mixed Cumulative Distribution Networks. - Ricardo Bezerra de Andrade e Silva; Charles Blundell; Yee Whye Teh (AISTATS, 2011)

Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". - Jiji Zhang; Ricardo Bezerra de Andrade e Silva (AISTATS, 2011)

Latent Composite Likelihood Learning for the Structured Canonical Correlation Model - Ricardo Bezerra de Andrade e Silva (CoRR, 2012)

Flexible sampling of discrete data correlations without the marginal distributions. - Alfredo A. Kalaitzis; Ricardo Bezerra de Andrade e Silva (NIPS, 2013)

Flexible Sampling for the Gaussian Copula Extended Rank Likelihood Model. - Alfredo A. Kalaitzis; Ricardo Bezerra de Andrade e Silva (CoRR, 2013)

A MCMC Approach for Learning the Structure of Gaussian Acyclic Directed Mixed Graphs. - Ricardo Bezerra de Andrade e Silva (Statistical Models for Data Analysis, 2013)

Bayesian inference via projections. - Ricardo Bezerra de Andrade e Silva; Alfredo A. Kalaitzis (Stat. Comput., 2015)