Borboudakis, Giorgos

9 publications

AutoML 2024 Confidence Interval Estimation of Predictive Performance in the Context of AutoML Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos

MLJ 2019 A Greedy Feature Selection Algorithm for Big Data of High Dimensionality Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides

JMLR 2019 Forward-Backward Selection with Early Dropping Giorgos Borboudakis, Ioannis Tsamardinos

MLJ 2018 Bootstrapping the Out-of-Sample Predictions for Efficient and Accurate Cross-Validation Ioannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis

UAI 2016 Marginal Causal Consistency in Constraint-Based Causal Learning Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos

UAI 2015 Bayesian Network Learning with Discrete Case-Control Data Giorgos Borboudakis, Ioannis Tsamardinos

UAI 2013 Scoring and Searching over Bayesian Networks with Causal and Associative Priors Giorgos Borboudakis, Ioannis Tsamardinos

ICML 2012 Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs Giorgos Borboudakis, Ioannis Tsamardinos

ECML-PKDD 2010 Permutation Testing Improves Bayesian Network Learning Ioannis Tsamardinos, Giorgos Borboudakis