Giorgos Borboudakis

24 papers A* 2A 2B 1Journal 13Unranked 5

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