Nikos Fazakis
Nikos Fazakis
University of Patras
Verified email at fazakis.gr
Title
Cited by
Cited by
Year
Self-trained LMT for semisupervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Computational intelligence and neuroscience 2016, 2016
292016
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
A semi-supervised regression algorithm for grade prediction of students in distance learning courses
G Kostopoulos, S Kotsiantis, N Fazakis, G Koutsonikos, C Pierrakeas
International Journal on Artificial Intelligence Tools 28 (04), 1940001, 2019
82019
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
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
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
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
42018
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
42018
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
2016 7th International Conference on Information, Intelligence, Systems …, 2016
42016
Iterative robust semi-supervised missing data imputation
N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas
IEEE Access 8, 90555-90569, 2020
22020
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