Stamatis Karlos, Postdoctoral Researcher
Stamatis Karlos, Postdoctoral Researcher
Verified email at csd.auth.gr - Homepage
Title
Cited by
Cited by
Year
Semi-supervised regression: A recent review
G Kostopoulos, S Karlos, S Kotsiantis, O Ragos
Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018
422018
Self-trained LMT for semisupervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Computational intelligence and neuroscience 2016, 2016
292016
Multiview learning for early prognosis of academic performance: a case study
G Kostopoulos, S Karlos, S Kotsiantis
IEEE Transactions on Learning Technologies 12 (2), 212-224, 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 8, 2122-2133, 2019
112019
Speaker identification using semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
International Conference on Speech and Computer, 389-396, 2015
112015
Self-trained Rotation Forest for semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Journal of Intelligent & Fuzzy Systems 32 (1), 711-722, 2017
102017
Locally application of naive Bayes for self-training
S Karlos, N Fazakis, AP Panagopoulou, S Kotsiantis, K Sgarbas
Evolving Systems 8 (1), 3-18, 2017
82017
Speech recognition combining MFCCs and image features
S Karlos, N Fazakis, K Karanikola, S Kotsiantis, K Sgarbas
International Conference on Speech and Computer, 651-658, 2016
82016
A multi-scheme semi-supervised regression approach
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Pattern Recognition Letters 125, 758-765, 2019
72019
Self-trained stacking model for semi-supervised learning
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
International Journal on Artificial Intelligence Tools 26 (02), 1750001, 2017
72017
Effectiveness of semi-supervised learning in bankruptcy prediction
S Karlos, S Kotsiantis, N Fazakis, K Sgarbas
2016 7th International Conference on Information, Intelligence, Systems …, 2016
72016
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
62019
A soft-voting ensemble based co-training scheme using static selection for binary classification problems
S Karlos, G Kostopoulos, S Kotsiantis
Algorithms 13 (1), 26, 2020
52020
Active learning Rotation Forest for multiclass classification
V Kazllarof, S Karlos, S Kotsiantis
Computational Intelligence 35 (4), 891-918, 2019
52019
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
52019
Using active learning methods for predicting fraudulent financial statements
S Karlos, G Kostopoulos, S Kotsiantis, V Tampakas
International Conference on Engineering Applications of Neural Networks, 351-362, 2017
52017
Semi-supervised forecasting of fraudulent financial statements
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
Proceedings of the 20th Pan-Hellenic Conference on Informatics, 1-6, 2016
52016
A semisupervised cascade classification algorithm
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
Applied Computational Intelligence and Soft Computing 2016, 2016
52016
Self-train logitboost for semi-supervised learning
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
International Conference on Engineering Applications of Neural Networks, 139-148, 2015
52015
Self-trained extreme gradient boosting trees
N Fazakis, G Kostopoulos, S Karlos, S Kotsiantis, K Sgarbas
2019 10th international conference on information, Intelligence, Systems and …, 2019
42019
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