Nikos Fazakis

According to our database, Nikos Fazakis authored at least 29 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database.

Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database.

Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data.

Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis

Proceedings of the 12th International Conference on Information, 2021

2020

An active learning ensemble method for regression tasks.

Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Intell. Data Anal., 2020

Iterative Robust Semi-Supervised Missing Data Imputation.

Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas

IEEE Access, 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

Sedentary workers recognition based on machine learning.

Sotiris Alexiou, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas

Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

2019

A multi-scheme semi-supervised regression approach.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Pattern Recognit. Lett., 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

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

Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance.

Georgios Kostopoulos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th International Conference on Information, 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

Proceedings of the 10th International Conference on Information, 2019

Self-trained eXtreme Gradient Boosting Trees.

Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th International Conference on Information, 2019

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme.

Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

Optimized Active Learning Strategy for Audiovisual Speaker Recognition.

Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis

Proceedings of the Speech and Computer - 20th International Conference, 2018

A Semi-supervised regressor based on model trees.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

An incremental self-trained ensemble algorithm.

Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017

Self-trained Rotation Forest for semi-supervised learning.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

J. Intell. Fuzzy 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

Locally application of naive Bayes for self-training.

Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Evol. Syst., 2017

2016

Self-Trained LMT for Semisupervised Learning.

Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Comput. Intell. Neurosci., 2016

A Semisupervised Cascade Classification Algorithm.

Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Appl. Comput. Intell. Soft Comput., 2016

Speech Recognition Combining MFCCs and Image Features.

Stamatis Karlos, Nikos Fazakis, Katerina Karanikola, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Speech and Computer - 18th International Conference, 2016

Semi-supervised forecasting of fraudulent financial statements.

Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 20th Pan-Hellenic Conference on Informatics, 2016

Effectiveness of semi-supervised learning in bankruptcy prediction.

Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas

Proceedings of the 7th International Conference on Information, 2016

Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification.

Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 7th International Conference on Information, 2016

2015

Speaker Identification Using Semi-supervised Learning.

Nikos Fazakis, Stamatis Karlos, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Speech and Computer - 17th International Conference, 2015

Self-Train LogitBoost for Semi-supervised Learning.

Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the Engineering Applications of Neural Networks, 2015