Giorgos Borboudakis
Giorgos Borboudakis
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Chemically intuited, large-scale screening of MOFs by machine learning techniques
G Borboudakis, T Stergiannakos, M Frysali, E Klontzas, I Tsamardinos, ...
Nature Partner Journals Computational Materials 3 (1), 40, 2017
Permutation testing improves Bayesian network learning
I Tsamardinos, G Borboudakis
European Conference on Machine Learning and Principles and Practice of …, 2010
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
I Tsamardinos, E Greasidou, G Borboudakis
Machine Learning 107 (12), 1895–1922, 2018
Incorporating causal prior knowledge as path-constraints in Bayesian networks and maximal ancestral graphs
G Borboudakis, I Tsamardinos
29th International Conference on Machine Learning (ICML 2012), 2012
Forward-Backward Selection with Early Dropping
G Borboudakis, I Tsamardinos
Journal of Machine Learning Research 20 (8), 1-39, 2019
Towards Robust and Versatile Causal Discovery for Business Applications.
G Borboudakis, I Tsamardinos
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016 …, 2016
Constraint-based Causal Discovery with Mixed Data
M Tsagris, G Borboudakis, V Lagani, I Tsamardinos
International Journal of Data Science and Analytics, 2018
A greedy feature selection algorithm for Big Data of high dimensionality
I Tsamardinos, G Borboudakis, P Katsogridakis, P Pratikakis, ...
Machine learning 108 (2), 149-202, 2018
A constraint-based approach to incorporate prior knowledge in causal models.
G Borboudakis, S Triantafilou, V Lagani, I Tsamardinos
19th European Symposium on Artificial Neural Networks (ESANN 2011), 2011
Addressing the data-association problem for multiple sound source localization using doa estimates
A Alexandridis, G Borboudakis, A Mouchtaris
23rd European Signal Processing Conference (EUSIPCO 2015), 1551-1555, 2015
Scoring and Searching over Bayesian Networks with Causal and Associative Priors
G Borboudakis, I Tsamardinos
29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013
Marginal Causal Consistency in Constraint-based Causal Learning.
A Roumpelaki, G Borboudakis, S Triantafillou, I Tsamardinos
Causation: Foundation to Application Workshop (UAI 2016), 39-47, 2016
Bayesian Network Learning with Discrete Case-Control Data.
G Borboudakis, I Tsamardinos
31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 151-160, 2015
Tools and Algorithms for Causally Interpreting Directed Edges in Maximal Ancestral Graphs
G Borboudakis, S Triantafillou, I Tsamardinos
The Sixth European Workshop on Probabilistic Graphical Models (PGM 2012), 2012
A data driven approach reveals disease similarity on a molecular level
K Lakiotaki, G Georgakopoulos, E Castanas, OD Rĝe, G Borboudakis, ...
Nature Partner Journals Systems Biology and Applications 5 (1), 1-10, 2019
Just Add Data: Automated Predictive Modeling and BioSignature Discovery
I Tsamardinos, P Charonyktakis, K Lakiotaki, G Borboudakis, ...
bioRxiv, 2020
Chemosensitivity Prediction of Tumours Based on Expression, miRNA, and Proteomics Data
I Tsamardinos, G Borboudakis, EG Christodoulou, OD Rĝe
International Journal of Systems Biology and Biomedical Technologies (IJSBBT …, 2012
Efficient and Accurate Feature Selection, with Extensions for Multiple Solutions and to Big Data
G Borboudakis
University of Crete - Computer Science Department, 2018
Package ‘MXM’
I Tsamardinos, V Lagani, G Athineou, M Tsagris, G Borboudakis, ...
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