Giorgos Borboudakis

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 13

Top Topics

Causal Discovery

Top Venues

Int. J. Data Sci. Anal.

Publications

Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos
Confidence Interval Estimation of Predictive Performance in the Context of AutoML. CoRR (2024)
Giorgos Borboudakis, Paulos Charonyktakis, Konstantinos Paraschakis, Ioannis Tsamardinos
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML. CoRR (2023)
Giorgos Borboudakis, Ioannis Tsamardinos
Extending greedy feature selection algorithms to multiple solutions. Data Min. Knowl. Discov. 35 (4) (2021)
Giorgos Borboudakis, Ioannis Tsamardinos
Forward-Backward Selection with Early Dropping. J. Mach. Learn. Res. 20 (2019)
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides
A greedy feature selection algorithm for Big Data of high dimensionality. Mach. Learn. 108 (2) (2019)
Ioannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation. Mach. Learn. 107 (12) (2018)
Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos
Correction to: Constraint-based causal discovery with mixed data. Int. J. Data Sci. Anal. 6 (1) (2018)
Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos
Constraint-based causal discovery with mixed data. Int. J. Data Sci. Anal. 6 (1) (2018)
Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation. CoRR (2017)
Giorgos Borboudakis, Ioannis Tsamardinos
Forward-Backward Selection with Early Dropping. CoRR (2017)
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides
Massively-Parallel Feature Selection for Big Data. CoRR (2017)
Giorgos Borboudakis, Ioannis Tsamardinos
Towards Robust and Versatile Causal Discovery for Business Applications. KDD (2016)
Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos
Marginal Causal Consistency in Constraint-based Causal Learning. CFA@UAI (2016)
Giorgos Borboudakis, Ioannis Tsamardinos
Bayesian Network Learning with Discrete Case-Control Data. UAI (2015)
Anastasios Alexandridis, Giorgos Borboudakis, Athanasios Mouchtaris
Addressing the data-association problem for multiple sound source localization using DOA estimates. EUSIPCO (2015)
Giorgos Borboudakis, Ioannis Tsamardinos
Scoring and Searching over Bayesian Networks with Causal and Associative Priors. CoRR (2014)
Giorgos Borboudakis, Ioannis Tsamardinos
Scoring and Searching over Bayesian Networks with Causal and Associative Priors. UAI (2013)
Giorgos Borboudakis, Ioannis Tsamardinos
Scoring Bayesian Networks with Informative, Causal and Associative Priors CoRR (2012)
Giorgos Borboudakis, Ioannis Tsamardinos
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs. ICML (2012)
Giorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos
A constraint-based approach to incorporate prior knowledge in causal models. ESANN (2011)
Ioannis Tsamardinos, Giorgos Borboudakis
Permutation Testing Improves Bayesian Network Learning. ECML/PKDD (3) (2010)