Stamatis Karlos, Postdoctoral Researcher
Stamatis Karlos, Postdoctoral Researcher
Email verificata su csd.auth.gr - Home page
Titolo
Citata da
Citata da
Anno
Self-trained LMT for semisupervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Computational intelligence and neuroscience 2016, 2016
272016
Semi-supervised regression: A recent review
G Kostopoulos, S Karlos, S Kotsiantis, O Ragos
Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018
242018
Speaker identification using semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
International Conference on Speech and Computer, 389-396, 2015
102015
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
92019
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
82017
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
72017
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
62016
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
62016
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
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
A multi-scheme semi-supervised regression approach
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Pattern Recognition Letters 125, 758-765, 2019
52019
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-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
42017
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
32020
Optimized Active Learning Strategy for Audiovisual Speaker Recognition
S Karlos, K Kaleris, N Fazakis, VG Kanas, S Kotsiantis
International Conference on Speech and Computer, 281-290, 2018
32018
Active fuzzy rule induction
A Karanikola, S Karlos, V Kazllarof, E Kateri, S Kotsiantis
2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2018
32018
An incremental self-trained ensemble algorithm
S Karlos, N Fazakis, K Kalleris, VG Kanas, S Kotsiantis
2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2018
32018
Evaluating active learning methods for bankruptcy prediction
G Kostopoulos, S Karlos, S Kotsiantis, V Tampakas
International Conference on Brain Function Assessment in Learning, 57-66, 2017
32017
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
32017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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