Sotiris Kotsiantis

110 papers C 2Misc 1Journal 60Unranked 46
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Multimodal Learning Analytics: Data, Methods, Systems, and Responsible Deployment.
Future Internet
Georgios Kostopoulos, Sotiris Kotsiantis, Theodor Panagiotakopoulos, Achilles Kameas
2026 J jnl
Reducing labeled data requirements in text classification with active learning and BERT-based transformers.
Neural Comput. Appl.
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
2026 J jnl
Visual Language Models: Foundations and Applications.
IEEE Access
Sotiris Kotsiantis, Theodor Panagiotakopoulos, Nikos Piperigkos, Aris S. Lalos
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
Agentic AI in Education: State of the Art and Future Directions.
IEEE Access
Georgios Kostopoulos, Vasileios Gkamas, Maria Rigou, Sotiris Kotsiantis
2025 J jnl
Benchmarking Statistical and Deep Generative Models for Privacy-Preserving Synthetic Student Data in Educational Data Mining.
Algorithms
Georgios Kostopoulos, Maria Tsiakmaki, Sotiris Kotsiantis
2025 J jnl
Combining normalizing flows with decision trees for interpretable unsupervised outlier detection.
Eng. Appl. Artif. Intell.
Vasilis Papastefanopoulos, Pantelis Linardatos, Sotiris Kotsiantis
2025 J jnl
Conditional Diffusion Models: A Survey of Techniques, Applications, and Challenges.
IEEE Access
Theodor Panagiotakopoulos, Sotiris Kotsiantis, Alexandros Gkillas, Aris S. Lalos
2025 — conf
Energy Load Forecasting with Distributional Emotion Embeddings.
AIAI (1)
Charalampos M. Liapis, Aikaterini Karanikola, 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 J jnl
Enhancing sentiment analysis with distributional emotion embeddings.
Neurocomputing
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2025 — conf
Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems Using Semi-Supervised Learning.
AIAI (3)
Gregory Davrazos, Nikos Fazakis, Sotiris Kotsiantis
2025 — conf
Semi-supervised Learning for Early Certification Prediction in MOOCs.
AIAI (3)
George Raftopoulos, Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2024 J jnl
A comprehensive review on zero-shot-learning techniques.
Intell. Decis. Technol.
Konstantinos Lazaros, Dimitris E. Koumadorakis, Aristidis G. Vrahatis, Sotiris Kotsiantis
2024 J jnl
Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles.
Inf. Sci.
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2024 J jnl
Editorial: Special Issue on Heterogeneous Domain Adaptation Learning and its Applications in Intelligent System.
Int. J. Artif. Intell. Tools
Fa Zhu, Xiaochun Cheng, Sotiris Kotsiantis, Ioannis Hatzilygeroudis
2024 J jnl
Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News.
Int. J. Artif. Intell. Tools
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2024 — conf
Enhancing Occupancy Detection Through IoT: A Comparative Analysis of Classifiers.
IISA
Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2024 — conf
Enhancing Predictive Maintenance with Interpretable AutoML: A Case Study on Detecting Ball-Bearing Faults Using IoT Data.
IISA
Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2024 J jnl
Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level.
Future Internet
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios
2024 J jnl
Fair and Transparent Student Admission Prediction Using Machine Learning Models.
Algorithms
George Raftopoulos, Gregory Davrazos, Sotiris Kotsiantis
2024 J jnl
Graph Attention Networks: A Comprehensive Review of Methods and Applications.
Future Internet
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
2024 — conf
Optimizing Service Efficiency: Incoming Call Forecasting Utilizing Smart City Open Data - A Case Study.
SETN
Gregory Davrazos, George Raftopoulos, Georgios Kostopoulos, Sotiris Kotsiantis
2024 — conf
Predictive Vigilance: Harnessing Internet of Things and Machine Learning for Smoke Detection.
IISA
Gregory Davrazos, George Raftopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2024 J jnl
Regressor cascading for time series forecasting.
Intell. Decis. Technol.
Pantelis Linardatos, Vasilis Papastefanopoulos, Sotiris Kotsiantis
2024 J jnl
Sparse Approximate Pseudoinverse Preconditioning for Sparse Supervised Learning Problems with More Features than Samples.
Int. J. Artif. Intell. Tools
Anastasia-Dimitra Lipitakis, George A. Gravvanis, Christos K. Filelis-Papadopoulos, Sotiris Kotsiantis, Dimosthenis Anagnostopoulos
2024 J jnl
Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis.
Big Data Cogn. Comput.
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios
2023 J jnl
A generic sparse regression imputation method for time series and tabular data.
Knowl. Based Syst.
Athanasios I. Salamanis, George A. Gravvanis, Sotiris Kotsiantis, Konstantinos M. Giannoutakis
2023 J jnl
A multi-view-CNN framework for deep representation learning in image classification.
Comput. Vis. Image Underst.
Emmanuel Pintelas, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas
2023 J jnl
A multivariate ensemble learning method for medium-term energy forecasting.
Neural Comput. Appl.
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2023 — conf
Active Learning Query Strategy Selection Using Dataset Meta-features Extraction.
AIAI (2)
Vangjel Kazllarof, Sotiris Kotsiantis
2023 — conf
Android Malware Detection in IoT Mobile Devices using a Meta-ensemble Classifier.
IISA
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2023 J jnl
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes.
Neural Comput. Appl.
Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis
2023 J jnl
Financial sentiment analysis: Classic methods vs. deep learning models.
Intell. Decis. Technol.
Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis
2023 J jnl
Investigating Deep Stock Market Forecasting with Sentiment Analysis.
Entropy
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2023 — conf
IoT Device Identification Using a Meta-Ensemble Multi-Class Classifier.
IISA
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2023 — conf
IoT-Enabled Crop Recommendation in Smart Agriculture Using Machine Learning.
IISA
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2023 — conf
Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning.
IISA
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
2023 J jnl
Special Issue on Machine Learning and AI for Sensors.
Sensors
Panagiotis E. Pintelas, Sotiris Kotsiantis, Ioannis E. Livieris
2023 J jnl
Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting.
Inf.
Charalampos M. Liapis, Sotiris Kotsiantis
2023 — conf
Water Quality Estimation from IoT Sensors Using a Meta-ensemble.
AIAI (Workshops)
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis
2022 J jnl
A predictive analytics framework as a countermeasure for attrition of students.
Interact. Learn. Environ.
Andreas F. Gkontzis, Sotiris Kotsiantis, Christos T. Panagiotakopoulos, Vassilios S. Verykios
2022 J jnl
A predictive analytics framework as a countermeasure for attrition of students.
Interact. Learn. Environ.
Andreas F. Gkontzis, Sotiris Kotsiantis, Christos T. Panagiotakopoulos, Vassilios S. Verykios
2022 — conf
Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison.
SETN
Charalampos M. Liapis, Sotiris Kotsiantis
2022 — conf
Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners.
AIAI (1)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2022 — conf
Human Activity Recognition using Time Series Feature Extraction and Active Learning.
SETN
Vangjel Kazllarof, Sotiris Kotsiantis
2022 J jnl
Meteorological Data Warehousing and Analysis for Supporting Air Navigation.
Informatics
Georgia Garani, Dionysios Papadatos, Sotiris Kotsiantis, Vassilios S. Verykios
2022 J jnl
Supervised machine learning models for student performance prediction.
Intell. Decis. Technol.
Nikolaos S. Alachiotis, Sotiris Kotsiantis, Evangelos Sakkopoulos, Vassilios S. Verykios
2021 J jnl
A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting.
Entropy
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2021 — conf
A comparative study of validity indices on estimating the optimal number of clusters.
IISA
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
2021 — conf
A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting.
IISA
Iliana Paliari, Aikaterini Karanikola, Sotiris Kotsiantis
2021 J jnl
A novel explainable image classification framework: case study on skin cancer and plant disease prediction.
Neural Comput. Appl.
Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis E. Pintelas
2021 — conf
Active Bagging Ensemble Selection.
AIAI (Workshops)
Vangjel Kazllarof, Sotiris Kotsiantis
2021 J jnl
An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting.
Expert Syst. Appl.
Athanasios I. Salamanis, Anastasia-Dimitra Lipitakis, George A. Gravvanis, Sotiris Kotsiantis, Dimosthenis Anagnostopoulos
2021 — conf
Applying Machine Learning to Predict Whether Learners Will Start a MOOC After Initial Registration.
AIAI (Workshops)
Theodor Panagiotakopoulos, Sotiris Kotsiantis, Spiros A. Borotis, Fotis Lazarinis, Achilles Kameas
2021 J jnl
Editorial: Applications of Fuzzy Systems in Data Science and Big Data.
IEEE Trans. Fuzzy Syst.
Gautam Srivastava, Jerry Chun-Wei Lin, Dragan Pamucar, Sotiris Kotsiantis
2021 J jnl
Explainable AI: A Review of Machine Learning Interpretability Methods.
Entropy
Pantelis Linardatos, Vasilis Papastefanopoulos, Sotiris Kotsiantis
2021 J jnl
Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach.
J. Comput. High. Educ.
Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos
2021 J jnl
Interpretable Models for Early Prediction of Certification in MOOCs: A Case Study on a MOOC for Smart City Professionals.
IEEE Access
Georgios Kostopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Achilles Kameas
2021 J jnl
Investigating cluster validation metrics for optimal number of clusters determination.
Intell. Decis. Technol.
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
2020 J jnl
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems.
Algorithms
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis
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 — conf
An ensemble forecasting method using univariate time series COVID-19 data.
PCI
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
2020 J jnl
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction.
J. Imaging
Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas
2020 J jnl
Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks.
Informatics
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
2020 J jnl
Iterative Robust Semi-Supervised Missing Data Imputation.
IEEE Access
Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas
2020 J jnl
Polarity, emotions and online activity of students and tutors as features in predicting grades.
Intell. Decis. Technol.
Andreas F. Gkontzis, Sotiris Kotsiantis, Dimitris Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios
2020 J jnl
Special issue on "Intelligent and fuzzy systems in data science and big data".
Evol. Intell.
Stefania Tomasiello, Feng Feng, Sotiris Kotsiantis, Alireza Khastan
2020 — ch.
The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropout-Prone Students.
Machine Learning Paradigms
Christos Pierrakeas, Giannis Koutsonikos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, Michalis Xenos, George A. Gravvanis
2020 J jnl
University students' intention to use search engines for research purposes: A structural equation modeling approach.
Educ. Inf. Technol.
Konstantinos Lavidas, Anthi Achriani, Stavros Athanassopoulos, Ioannis Messinis, Sotiris 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 — conf
A hybrid method for missing value imputation.
PCI
Aikaterini Karanikola, Sotiris Kotsiantis
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
Active learning Rotation Forest for multiclass classification.
Comput. Intell.
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
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 J jnl
Multiview Learning for Early Prognosis of Academic Performance: A Case Study.
IEEE Trans. Learn. Technol.
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis
2019 — conf
Performance Evaluation and Comparison of Multi-objective optimization Algorithms.
IISA
Dimitris G. Tsarmpopoulos, Athanasia N. Papanikolaou, Sotiris Kotsiantis, Theodoula N. Grapsa, George S. Androulakis
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
Active fuzzy rule induction.
EAIS
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis
2018 — conf
An effective LA approach to predict student achievement.
PCI
Andreas F. Gkontzis, Sotiris Kotsiantis, Rozita Tsoni, Vassilios S. Verykios
2018 — conf
An incremental self-trained ensemble algorithm.
EAIS
Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis
2018 — conf
An incrementally updateable ensemble learner.
PCI
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis
2018 J jnl
Forecasting students' success in an open university.
Int. J. Learn. Technol.
George Kostopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Giannis Koutsonikos, George A. Gravvanis
2018 — conf
Local weighted Averaged 2-Dependence Estimator.
SETN
Stamatis Karlos, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis
2018 — conf
Measuring Engagement to Assess Performance of Students in Distance Learning.
IISA
Andreas F. Gkontzis, Chris T. Panagiotakopoulos, Sotiris Kotsiantis, Vassilios S. Verykios
2018 — conf
Optimized Active Learning Strategy for Audiovisual Speaker Recognition.
SPECOM
Stamatis Karlos, Konstantinos Kaleris, Nikos Fazakis, Vasileios G. Kanas, Sotiris Kotsiantis
2018 — conf
Predicting University Students' Grades Based on Previous Academic Achievements.
IISA
Maria Tsiakmaki, Georgios Kostopoulos, Giannis Koutsonikos, Christos Pierrakeas, Sotiris Kotsiantis, Omiros Ragos
2018 J jnl
Semi-supervised regression: A recent review.
J. Intell. Fuzzy Syst.
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos
2017 — conf
A Prognosis of Junior High School Students' Performance Based on Active Learning Methods.
BFAL
Georgios Kostopoulos, Sotiris Kotsiantis, Vassilios S. Verykios
2017 — conf
Automated hand gesture recognition exploiting Active Learning methods.
PCI
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis, Michalis Xenos
2017 — conf
Early dropout prediction in distance higher education using active learning.
IISA
Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos, Theodoula N. Grapsa
2017 — conf
Enhancing high school students' performance based on semi-supervised methods.
IISA
Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas
2017 — conf
Evaluating Active Learning Methods for Bankruptcy Prediction.
BFAL
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas
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 C conf
Predicting Student Performance in Distance Higher Education Using Active Learning.
EANN
Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George A. Gravvanis
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
2017 J jnl
Students' evaluation of tutors in distance education: a quasi-longitudinal study.
Int. J. Learn. Technol.
Sotiris Kotsiantis, Nikolaos K. Tselios, Michalis Xenos
2017 C conf
Using Active Learning Methods for Predicting Fraudulent Financial Statements.
EANN
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas
2016 — conf
Automated hand gesture recognition for educational applications.
PCI
Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis
2016 — conf
Effectiveness of semi-supervised learning in bankruptcy prediction.
IISA
Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, 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
2015 — conf
Combining ensembles algorithms of symbolic learners.
IISA
Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis
2015 — conf
Integrating global and local boosting.
IISA
Anastasia-Dimitra Lipitakis, Gerasimos S. Antzoulatos, Sotiris Kotsiantis, Michael N. Vrahatis
2012 J jnl
Evaluating and recommending Greek newspapers' websites using clustering.
Program
Dimitris Kanellopoulos, Sotiris Kotsiantis