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
272016
Speaker identification using semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
International Conference on Speech and Computer, 389-396, 2015
102015
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
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 multi-scheme semi-supervised regression approach
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Pattern Recognition Letters 125, 758-765, 2019
42019
A semisupervised cascade classification algorithm
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
Applied Computational Intelligence and Soft Computing 2016, 2016
42016
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
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
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
32017
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
32015
An active learning ensemble method for regression tasks
N Fazakis, G Kostopoulos, S Karlos, S Kotsiantis, K Sgarbas
Intelligent Data Analysis 24 (3), 607-623, 2020
22020
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
22019
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
22019
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
22019
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
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
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
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