Christos K. Aridas
Christos K. Aridas
Computational Intelligence Laboratory, Department of Mathematics, University of Patras, Greece
Verified email at upatras.gr
Title
Cited by
Cited by
Year
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
G Lemaitre, F Nogueira, CK Aridas
Journal of Machine Learning Research 18 (17), 1-5, 2017
6382017
Multi-Objective Evolutionary Optimization Algorithms for Machine Learning: A Recent Survey
SAN Alexandropoulos, CK Aridas, SB Kotsiantis, MN Vrahatis
Springer Optimization and Its Applications 145, 35-55, 2019
122019
Uncertainty based under-sampling for learning Naive Bayes classifiers under imbalanced data sets
CK Aridas, S Karlos, VG Kanas, N Fazakis, SB Kotsiantis
IEEE Access, 2020
42020
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme
N Fazakis, VG Kanas, CK Aridas, S Karlos, S Kotsiantis
Entropy 21 (10), 988, 2019
42019
Combining random forest and support vector machines for semi-supervised learning
C Aridas, S Kotsiantis
Proceedings of the 19th Panhellenic Conference on Informatics, 123-128, 2015
42015
A Deep Dense Neural Network for Bankruptcy Prediction
SAN Alexandropoulos, CK Aridas, SB Kotsiantis, MN Vrahatis
International Conference on Engineering Applications of Neural Networks, 435-444, 2019
32019
Stacking Strong Ensembles of Classifiers
SAN Alexandropoulos, CK Aridas, SB Kotsiantis, MN Vrahatis
IFIP International Conference on Artificial Intelligence Applications and …, 2019
32019
Hybrid local boosting utilizing unlabeled data in classification tasks
CK Aridas, SB Kotsiantis, MN Vrahatis
Evolving Systems 10 (1), 51-61, 2019
32019
Random resampling in the one-versus-all strategy for handling multi-class problems
CK Aridas, SAN Alexandropoulos, SB Kotsiantis, MN Vrahatis
International Conference on Engineering Applications of Neural Networks, 111-121, 2017
32017
Combining Active Learning with Self-train algorithm for classification of multimodal problems
S Karlos, VG Kanas, C Aridas, N Fazakis, S Kotsiantis
2019 10th International Conference on Information, Intelligence, Systems and …, 2019
22019
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme
S Karlos, VG Kanas, N Fazakis, C Aridas, S Kotsiantis
IFIP International Conference on Artificial Intelligence Applications and …, 2019
22019
Increasing Diversity in Random Forests Using Naive Bayes
CK Aridas, SB Kotsiantis, MN Vrahatis
IFIP International Conference on Artificial Intelligence Applications and …, 2016
22016
Combining prototype selection with local boosting
CK Aridas, SB Kotsiantis, MN Vrahatis
IFIP International Conference on Artificial Intelligence Applications and …, 2016
22016
Imbalanced dataset for benchmarking
G Lemaitre, F Nogueira, CK Aridas, DVR Oliveira
Zenodo, 2016
22016
vfi: Classification by Voting Feature Intervals in Python
CK Aridas
Zenodo, 2020
2020
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