Giorgos Borboudakis

Most-cited papers

1. Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation

   I. Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis

   2017Machine-mediated learning231 citations Open access

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2. Chemically intuited, large-scale screening of MOFs by machine learning techniques

   Giorgos Borboudakis, Taxiarchis Stergiannakos, Maria G. Frysali, Emmanuel Klontzas +2 more

   2017npj Computational Materials172 citations Open access

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3. Forward-Backward Selection with Early Dropping

   Giorgos Borboudakis, I. Tsamardinos

   2017Journal of machine learning research118 citations

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4. A greedy feature selection algorithm for Big Data of high dimensionality

   I. Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis +1 more

   2018Machine-mediated learning86 citations Open access

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5. Just Add Data: automated predictive modeling for knowledge discovery and feature selection

   I. Tsamardinos, Paulos Charonyktakis, G. Papoutsoglou, Giorgos Borboudakis +5 more

   2022npj Precision Oncology58 citations Open access

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6. Constraint-based causal discovery with mixed data

   Michail T. Tsagris, Giorgos Borboudakis, V. Lagani, I. Tsamardinos

   2018International Journal of Data Science and Analysis58 citations Open access

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7. Permutation Testing Improves Bayesian Network Learning

   I. Tsamardinos, Giorgos Borboudakis

   2010ECML/PKDD55 citations Open access

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8. Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs

   Giorgos Borboudakis, I. Tsamardinos

   2012International Conference on Machine Learning52 citations

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9. Just Add Data: Automated Predictive Modeling and BioSignature Discovery

   I. Tsamardinos, Paulos Charonyktakis, Kleanthi Lakiotaki, Giorgos Borboudakis +4 more

   2020bioRxiv32 citations Open access

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10. Towards Robust and Versatile Causal Discovery for Business Applications

    Giorgos Borboudakis, I. Tsamardinos

    2016Knowledge Discovery and Data Mining25 citations Open access

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11. Scoring and Searching over Bayesian Networks with Causal and Associative Priors

    Giorgos Borboudakis, I. Tsamardinos

    2012Conference on Uncertainty in Artificial Intelligence20 citations

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12. Extending greedy feature selection algorithms to multiple solutions

    Giorgos Borboudakis, I. Tsamardinos

    2021Data mining and knowledge discovery16 citations Open access

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13. Marginal Causal Consistency in Constraint-based Causal Learning

    Anna Roumpelaki, Giorgos Borboudakis, S. Triantafillou, I. Tsamardinos

    2016CFA@UAI16 citations

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14. Addressing the data-association problem for multiple sound source localization using DOA estimates

    Anastasios Alexandridis, Giorgos Borboudakis, A. Mouchtaris

    2015European Signal Processing Conference12 citations

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15. A data driven approach reveals disease similarity on a molecular level

    Kleanthi Lakiotaki, G. Georgakopoulos, E. Castanas, O. Røe +2 more

    2019npj Systems Biology and Applications11 citations Open access

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16. Author Correction: Chemically intuited, large-scale screening of MOFs by machine learning techniques

    Giorgos Borboudakis, Taxiarchis Stergiannakos, Maria G. Frysali, Emmanuel Klontzas +2 more

    2017npj Computational Materials7 citations Open access

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17. Bayesian Network Learning with Discrete Case-Control Data

    Giorgos Borboudakis, I. Tsamardinos

    2015Conference on Uncertainty in Artificial Intelligence7 citations

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18. Confidence Interval Estimation of Predictive Performance in the Context of AutoML

    Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos

    2024AutoML5 citations

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19. Chemosensitivity Prediction of Tumours Based on Expression, miRNA, and Proteomics Data

    I. Tsamardinos, Giorgos Borboudakis, Eleni G. Christodoulou, O. Røe

    20124 citations

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20. A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML

    Giorgos Borboudakis, Paulos Charonyktakis, Konstantinos Paraschakis, I. Tsamardinos

    2023arXiv.org2 citations

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21. Massively-Parallel Feature Selection for Big Data

    I. Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis +1 more

    2017arXiv.org2 citations

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22. Correction to: Constraint-based causal discovery with mixed data

    Michail T. Tsagris, Giorgos Borboudakis, V. Lagani, I. Tsamardinos

    2018International Journal of Data Science and Analysis1 citations Open access

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23. Scoring Bayesian Networks with Informative, Causal and Associative Priors

    Giorgos Borboudakis, I. Tsamardinos

    2012arXiv.org1 citations

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24. CLBO: Conditional Local Bayesian Optimization for Automated Machine Learning

    George Paterakis, Giorgos Borboudakis, Konstantinos Paraschakis, Pavlos Charonyktakis +1 more

    2024Hellenic Conference on Artificial Intelligence0 citations Open access

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25. Efficient and accurate feature selection, with extensions for multiple solutions and to big data

    Giorgos Borboudakis

    20180 citations Open access

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