Stebėti
Nikos Fazakis
Nikos Fazakis
University of Patras
Patvirtintas el. paštas fazakis.gr
Pavadinimas
Cituota
Cituota
Metai
Machine learning tools for long-term type 2 diabetes risk prediction
N Fazakis, O Kocsis, E Dritsas, S Alexiou, N Fakotakis, K Moustakas
IEEE Access 9, 103737-103757, 2021
822021
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
572019
Self-trained LMT for semisupervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Computational intelligence and neuroscience 2016, 10-10, 2016
412016
Iterative robust semi-supervised missing data imputation
N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas
IEEE Access 8, 90555-90569, 2020
282020
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
262019
Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database.
N Fazakis, E Dritsas, O Kocsis, N Fakotakis, K Moustakas
IJCCI, 445-450, 2021
232021
Long-term hypertension risk prediction with ML techniques in ELSA database
E Dritsas, N Fazakis, O Kocsis, N Fakotakis, K Moustakas
Learning and Intelligent Optimization: 15th International Conference, LION …, 2021
222021
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
222019
A multi-scheme semi-supervised regression approach
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Pattern Recognition Letters 125, 758-765, 2019
192019
Speaker identification using semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Speech and Computer: 17th International Conference, SPECOM 2015, Athens …, 2015
132015
Optimal team pairing of elder office employees with machine learning on synthetic data
E Dritsas, N Fazakis, O Kocsis, K Moustakas, N Fakotakis
2021 12th International Conference on Information, Intelligence, Systems …, 2021
122021
Locally application of naive Bayes for self-training
S Karlos, N Fazakis, AP Panagopoulou, S Kotsiantis, K Sgarbas
Evolving Systems 8, 3-18, 2017
112017
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
112017
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
102019
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
92017
A semisupervised cascade classification algorithm
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
Applied Computational Intelligence and Soft Computing 2016, 4-4, 2016
92016
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
82019
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
82016
Self-train logitboost for semi-supervised learning
S Karlos, N Fazakis, S Kotsiantis, K Sgarbas
Engineering Applications of Neural Networks: 16th International Conference …, 2015
82015
Speech recognition combining MFCCs and image features
S Karlos, N Fazakis, K Karanikola, S Kotsiantis, K Sgarbas
Speech and Computer: 18th International Conference, SPECOM 2016, Budapest …, 2016
72016
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