Self-Train LogitBoost for Semi-supervised Learning. - Stamatis Karlos; Nikos Fazakis; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (EANN, 2015)

Speaker Identification Using Semi-supervised Learning. - Nikos Fazakis; Stamatis Karlos; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (SPECOM, 2015)

Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (IISA, 2016)

Effectiveness of semi-supervised learning in bankruptcy prediction. - Stamatis Karlos; Sotiris Kotsiantis; Nikos Fazakis; Kyriakos N. Sgarbas (IISA, 2016)

Semi-supervised forecasting of fraudulent financial statements. - Stamatis Karlos; Nikos Fazakis; Sotiris Kotsiantis; Kyriakos N. Sgarbas (PCI, 2016)

Speech Recognition Combining MFCCs and Image Features. - Stamatis Karlos; Nikos Fazakis; Katerina Karanikola; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (SPECOM, 2016)

A Semisupervised Cascade Classification Algorithm. - Stamatis Karlos; Nikos Fazakis; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (Appl. Comput. Intell. Soft Comput., 2016)

Self-Trained LMT for Semisupervised Learning. - Nikos Fazakis; Stamatis Karlos; Sotiris B. Kotsiantis; Kyriakos N. Sgarbas (Comput. Intell. Neurosci., 2016)

Locally application of naive Bayes for self-training. - Stamatis Karlos; Nikos Fazakis; Angeliki-Panagiota Panagopoulou; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Evol. Syst., 2017)

Self-Trained Stacking Model for Semi-Supervised Learning. - Stamatis Karlos; Nikos Fazakis; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Int. J. Artif. Intell. Tools, 2017)

Self-trained Rotation Forest for semi-supervised learning. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (J. Intell. Fuzzy Syst., 2017)

An incremental self-trained ensemble algorithm. - Stamatis Karlos; Nikos Fazakis; Konstantinos Kaleris; Vasileios G. Kanas; Sotiris Kotsiantis (EAIS, 2018)

A Semi-supervised regressor based on model trees. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (SETN, 2018)

Optimized Active Learning Strategy for Audiovisual Speaker Recognition. - Stamatis Karlos; Konstantinos Kaleris; Nikos Fazakis; Vasileios G. Kanas; Sotiris Kotsiantis (SPECOM, 2018)

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. - Stamatis Karlos; Vasileios G. Kanas; Nikos Fazakis; Christos K. Aridas; Sotiris Kotsiantis (AIAI, 2019)

Self-trained eXtreme Gradient Boosting Trees. - Nikos Fazakis; Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (IISA, 2019)

Combining Active Learning with Self-train algorithm for classification of multimodal problems. - Stamatis Karlos; Vasileios G. Kanas; Christos K. Aridas; Nikos Fazakis; Sotiris Kotsiantis (IISA, 2019)

Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance. - Georgios Kostopoulos; Nikos Fazakis; Sotiris Kotsiantis; Kyriakos N. Sgarbas (IISA, 2019)

Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. - Nikos Fazakis; Vasileios G. Kanas; Christos K. Aridas; Stamatis Karlos; Sotiris Kotsiantis (Entropy, 2019)

A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses. - Georgios Kostopoulos; Sotiris Kotsiantis; Nikos Fazakis; Giannis Koutsonikos; Christos Pierrakeas (Int. J. Artif. Intell. Tools, 2019)

A multi-scheme semi-supervised regression approach. - Nikos Fazakis; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Pattern Recognit. Lett., 2019)

Sedentary workers recognition based on machine learning. - Sotiris Alexiou; Nikos Fazakis; Otilia Kocsis; Nikos Fakotakis; Konstantinos Moustakas (PETRA, 2020)

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. - Christos K. Aridas; Stamatis Karlos; Vasileios G. Kanas; Nikos Fazakis; Sotiris B. Kotsiantis (IEEE Access, 2020)

Iterative Robust Semi-Supervised Missing Data Imputation. - Nikos Fazakis; Georgios Kostopoulos; Sotiris Kotsiantis; Iosif Mporas (IEEE Access, 2020)

An active learning ensemble method for regression tasks. - Nikos Fazakis; Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Kyriakos N. Sgarbas (Intell. Data Anal., 2020)

Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data. - Elias Dritsas; Nikos Fazakis; Otilia Kocsis; Konstantinos Moustakas; Nikos Fakotakis (IISA, 2021)

Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. - Nikos Fazakis; Elias Dritsas; Otilia Kocsis; Nikos Fakotakis; Konstantinos Moustakas (IJCCI, 2021)

Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database. - Elias Dritsas; Nikos Fazakis; Otilia Kocsis; Nikos Fakotakis; Konstantinos Moustakas (LION, 2021)

Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction. - Nikos Fazakis; Otilia Kocsis; Elias Dritsas; Sotiris Alexiou; Nikos Fakotakis; Konstantinos Moustakas (IEEE Access, 2021)

Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems Using Semi-Supervised Learning. - Gregory Davrazos; Nikos Fazakis; Sotiris Kotsiantis (AIAI (3), 2025)