Giorgos Borboudakis

Orcid: 0000-0001-7355-8871

According to our database1, Giorgos Borboudakis authored at least 20 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Confidence Interval Estimation of Predictive Performance in the Context of AutoML.
CoRR, 2024

2023
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML.
CoRR, 2023

2021
Extending greedy feature selection algorithms to multiple solutions.
Data Min. Knowl. Discov., 2021

2019
A greedy feature selection algorithm for Big Data of high dimensionality.
Mach. Learn., 2019

Forward-Backward Selection with Early Dropping.
J. Mach. Learn. Res., 2019

2018
Efficient and accurate feature selection, with extensions for multiple solutions and to big data
PhD thesis, 2018

Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation.
Mach. Learn., 2018

Correction to: Constraint-based causal discovery with mixed data.
Int. J. Data Sci. Anal., 2018

Constraint-based causal discovery with mixed data.
Int. J. Data Sci. Anal., 2018

2017
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation.
CoRR, 2017

Massively-Parallel Feature Selection for Big Data.
CoRR, 2017

2016
Marginal Causal Consistency in Constraint-based Causal Learning.
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Towards Robust and Versatile Causal Discovery for Business Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Bayesian Network Learning with Discrete Case-Control Data.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Addressing the data-association problem for multiple sound source localization using DOA estimates.
Proceedings of the 23rd European Signal Processing Conference, 2015

2013
Scoring and Searching over Bayesian Networks with Causal and Associative Priors.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Scoring Bayesian Networks with Informative, Causal and Associative Priors
CoRR, 2012

Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
A constraint-based approach to incorporate prior knowledge in causal models.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Permutation Testing Improves Bayesian Network Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010


  Loading...