Nikos Fazakis - RankMe

32 papers C 2Misc 1Journal 14Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models. Algorithms George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis
2025	J	`jnl`	Enhancing Semi-Supervised Learning in Educational Data Mining Through Synthetic Data Generation Using Tabular Variational Autoencoder. Algorithms Georgios Kostopoulos, Nikos Fazakis, Sotiris Kotsiantis, Yiannis Dimakopoulos
2025	—	`conf`	Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems Using Semi-Supervised Learning. AIAI (3) Gregory Davrazos, Nikos Fazakis, Sotiris Kotsiantis
2021	—	`conf`	Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database. LION Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
2021	C	`conf`	Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. IJCCI Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
2021	J	`jnl`	Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction. IEEE Access Nikos Fazakis, Otilia Kocsis, Elias Dritsas, Sotiris Alexiou, Nikos Fakotakis, Konstantinos Moustakas
2021	—	`conf`	Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data. IISA Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis
2020	J	`jnl`	An active learning ensemble method for regression tasks. Intell. Data Anal. Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2020	J	`jnl`	Iterative Robust Semi-Supervised Missing Data Imputation. IEEE Access Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas
2020	—	`conf`	Sedentary workers recognition based on machine learning. PETRA Sotiris Alexiou, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
2020	J	`jnl`	Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis
2019	J	`jnl`	A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses. Int. J. Artif. Intell. Tools Georgios Kostopoulos, Sotiris Kotsiantis, Nikos Fazakis, Giannis Koutsonikos, Christos Pierrakeas
2019	J	`jnl`	A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2019	J	`jnl`	Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis
2019	—	`conf`	Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis
2019	Misc	`conf`	Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis
2019	—	`conf`	Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance. IISA Georgios Kostopoulos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2019	—	`conf`	Self-trained eXtreme Gradient Boosting Trees. IISA Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2018	—	`conf`	A Semi-supervised regressor based on model trees. SETN Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2018	—	`conf`	An incremental self-trained ensemble algorithm. EAIS Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis
2018	—	`conf`	Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis
2017	J	`jnl`	Locally application of naive Bayes for self-training. Evol. Syst. Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2017	J	`jnl`	Self-Trained Stacking Model for Semi-Supervised Learning. Int. J. Artif. Intell. Tools Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2017	J	`jnl`	Self-trained Rotation Forest for semi-supervised learning. J. Intell. Fuzzy Syst. Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2016	J	`jnl`	A Semisupervised Cascade Classification Algorithm. Appl. Comput. Intell. Soft Comput. Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Effectiveness of semi-supervised learning in bankruptcy prediction. IISA Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas
2016	J	`jnl`	Self-Trained LMT for Semisupervised Learning. Comput. Intell. Neurosci. Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Semi-supervised forecasting of fraudulent financial statements. PCI Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas
2016	—	`conf`	Speech Recognition Combining MFCCs and Image Features. SPECOM Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2015	C	`conf`	Self-Train LogitBoost for Semi-supervised Learning. EANN Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas
2015	—	`conf`	Speaker Identification Using Semi-supervised Learning. SPECOM Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas