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ORCIDGiorgos Borboudakis
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2020 – today
- 2024
[i7]Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos:
Confidence Interval Estimation of Predictive Performance in the Context of AutoML. CoRR abs/2406.08099 (2024)- 2023
- [i6]Giorgos Borboudakis, Paulos Charonyktakis, Konstantinos Paraschakis, Ioannis Tsamardinos:
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML. CoRR abs/2312.06305 (2023) - 2021
- [j6]Giorgos Borboudakis
, Ioannis Tsamardinos:
Extending greedy feature selection algorithms to multiple solutions. Data Min. Knowl. Discov. 35(4): 1393-1434 (2021)
2010 – 2019
- 2019
- [j5]Giorgos Borboudakis, Ioannis Tsamardinos:
Forward-Backward Selection with Early Dropping. J. Mach. Learn. Res. 20: 8:1-8:39 (2019) - [j4]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): 149-202 (2019) - 2018
- [b1]Giorgos Borboudakis:
Efficient and accurate feature selection, with extensions for multiple solutions and to big data. University of Crete, Greece, 2018 - [j3]Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos:
Constraint-based causal discovery with mixed data. Int. J. Data Sci. Anal. 6(1): 19-30 (2018) - [j2]Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos:
Correction to: Constraint-based causal discovery with mixed data. Int. J. Data Sci. Anal. 6(1): 31 (2018) - [j1]Ioannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis:
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation. Mach. Learn. 107(12): 1895-1922 (2018) - 2017
- [i5]Giorgos Borboudakis, Ioannis Tsamardinos:
Forward-Backward Selection with Early Dropping. CoRR abs/1705.10770 (2017) - [i4]Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides:
Massively-Parallel Feature Selection for Big Data. CoRR abs/1708.07178 (2017) - [i3]Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis:
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation. CoRR abs/1708.07180 (2017) - 2016
- [c8]Giorgos Borboudakis, Ioannis Tsamardinos:
Towards Robust and Versatile Causal Discovery for Business Applications. KDD 2016: 1435-1444 - [c7]Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos:
Marginal Causal Consistency in Constraint-based Causal Learning. CFA@UAI 2016: 39-47 - 2015
- [c6]Anastasios Alexandridis, Giorgos Borboudakis, Athanasios Mouchtaris:
Addressing the data-association problem for multiple sound source localization using DOA estimates. EUSIPCO 2015: 1551-1555 - [c5]Giorgos Borboudakis, Ioannis Tsamardinos:
Bayesian Network Learning with Discrete Case-Control Data. UAI 2015: 151-160 - 2014
- [i2]Giorgos Borboudakis, Ioannis Tsamardinos:
Scoring and Searching over Bayesian Networks with Causal and Associative Priors. CoRR abs/1408.2057 (2014) - 2013
- [c4]Giorgos Borboudakis, Ioannis Tsamardinos:
Scoring and Searching over Bayesian Networks with Causal and Associative Priors. UAI 2013 - 2012
- [c3]Giorgos Borboudakis, Ioannis Tsamardinos:
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs. ICML 2012 - [i1]Giorgos Borboudakis, Ioannis Tsamardinos:
Scoring Bayesian Networks with Informative, Causal and Associative Priors. CoRR abs/1209.6561 (2012) - 2011
- [c2]Giorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos:
A constraint-based approach to incorporate prior knowledge in causal models. ESANN 2011 - 2010
- [c1]Ioannis Tsamardinos, Giorgos Borboudakis:
Permutation Testing Improves Bayesian Network Learning. ECML/PKDD (3) 2010: 322-337
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