Nikos Fazakis

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 29

Top Topics

Missing Data Imputation

Speech Recognition

Top Venues

Int. J. Artif. Intell. Tools

Publications

Nikos Fazakis, Otilia Kocsis, Elias Dritsas, Sotiris Alexiou, Nikos Fakotakis, Konstantinos Moustakas
Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction. IEEE Access 9 (2021)
Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis
Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data. IISA (2021)
Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. IJCCI (2021)
Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database. LION (2021)
Sotiris Alexiou, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
Sedentary workers recognition based on machine learning. PETRA (2020)
Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access 8 (2020)
Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
An active learning ensemble method for regression tasks. Intell. Data Anal. 24 (3) (2020)
Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas
Iterative Robust Semi-Supervised Missing Data Imputation. IEEE Access 8 (2020)
Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis
Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA (2019)
Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-trained eXtreme Gradient Boosting Trees. IISA (2019)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. 125 (2019)
Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy 21 (10) (2019)
Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI (2019)
Georgios Kostopoulos, Sotiris Kotsiantis, Nikos Fazakis, Giannis Koutsonikos, Christos Pierrakeas
A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses. Int. J. Artif. Intell. Tools 28 (4) (2019)
Georgios Kostopoulos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance. IISA (2019)
Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis
An incremental self-trained ensemble algorithm. EAIS (2018)
Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis
Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM (2018)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
A Semi-supervised regressor based on model trees. SETN (2018)
Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-Trained Stacking Model for Semi-Supervised Learning. Int. J. Artif. Intell. Tools 26 (2) (2017)
Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Locally application of naive Bayes for self-training. Evol. Syst. 8 (1) (2017)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-trained Rotation Forest for semi-supervised learning. J. Intell. Fuzzy Syst. 32 (1) (2017)
Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Semi-supervised forecasting of fraudulent financial statements. PCI (2016)
Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Speech Recognition Combining MFCCs and Image Features. SPECOM (2016)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA (2016)
Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Self-Trained LMT for Semisupervised Learning. Comput. Intell. Neurosci. 2016 (2016)
Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
A Semisupervised Cascade Classification Algorithm. Appl. Comput. Intell. Soft Comput. 2016 (2016)
Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas
Effectiveness of semi-supervised learning in bankruptcy prediction. IISA (2016)
Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Self-Train LogitBoost for Semi-supervised Learning. EANN (2015)
Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
Speaker Identification Using Semi-supervised Learning. SPECOM (2015)