Sotiris Kotsiantis

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 81

Top Topics

Financial Statements

Hand Gesture Recognition

University Students

Top Venues

Publications

Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Investigating Deep Stock Market Forecasting with Sentiment Analysis. Entropy 25 (2) (2023)
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
Android Malware Detection in IoT Mobile Devices using a Meta-ensemble Classifier. IISA (2023)
Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. Neural Comput. Appl. 35 (1) (2023)
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
IoT Device Identification Using a Meta-Ensemble Multi-Class Classifier. IISA (2023)
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
IoT-Enabled Crop Recommendation in Smart Agriculture Using Machine Learning. IISA (2023)
Emmanuel G. Pintelas, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas
A multi-view-CNN framework for deep representation learning in image classification. Comput. Vis. Image Underst. 232 (2023)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
A multivariate ensemble learning method for medium-term energy forecasting. Neural Comput. Appl. 35 (29) (2023)
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas
Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning. IISA (2023)
Athanasios I. Salamanis, George A. Gravvanis, Sotiris Kotsiantis, Konstantinos M. Giannoutakis
A generic sparse regression imputation method for time series and tabular data. Knowl. Based Syst. 279 (2023)
Vangjel Kazllarof, Sotiris Kotsiantis
Active Learning Query Strategy Selection Using Dataset Meta-features Extraction. AIAI (2) (2023)
Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis
Water Quality Estimation from IoT Sensors Using a Meta-ensemble. AIAI Workshops (2023)
Panagiotis E. Pintelas, Sotiris Kotsiantis, Ioannis E. Livieris
Special Issue on Machine Learning and AI for Sensors. Sensors 23 (5) (2023)
Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, Sotiris Kotsiantis
Financial sentiment analysis: Classic methods vs. deep learning models. Intell. Decis. Technol. 17 (4) (2023)
Charalampos M. Liapis, Sotiris Kotsiantis
Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting. Inf. 14 (11) (2023)
Charalampos M. Liapis, Sotiris Kotsiantis
Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison. SETN (2022)
Andreas F. Gkontzis, Sotiris Kotsiantis, Christos T. Panagiotakopoulos, Vassilios S. Verykios
A predictive analytics framework as a countermeasure for attrition of students. Interact. Learn. Environ. 30 (6) (2022)
Vangjel Kazllarof, Sotiris Kotsiantis
Human Activity Recognition using Time Series Feature Extraction and Active Learning. SETN (2022)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners. AIAI (1) (2022)
Georgia Garani, Dionysios Papadatos, Sotiris Kotsiantis, Vassilios S. Verykios
Meteorological Data Warehousing and Analysis for Supporting Air Navigation. Informatics 9 (4) (2022)
Andreas F. Gontzis, Sotiris Kotsiantis, Christos T. Panagiotakopoulos, Vassilios S. Verykios
A predictive analytics framework as a countermeasure for attrition of students. Interact. Learn. Environ. 30 (3) (2022)
Nikolaos S. Alachiotis, Sotiris Kotsiantis, Evangelos Sakkopoulos, Vassilios S. Verykios
Supervised machine learning models for student performance prediction. Intell. Decis. Technol. 16 (1) (2022)
Vangjel Kazllarof, Sotiris Kotsiantis
Active Bagging Ensemble Selection. AIAI Workshops (2021)
Georgios Kostopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Achilles Kameas
Interpretable Models for Early Prediction of Certification in MOOCs: A Case Study on a MOOC for Smart City Professionals. IEEE Access 9 (2021)
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
A comparative study of validity indices on estimating the optimal number of clusters. IISA (2021)
Aikaterini Karanikola, Charalampos M. Liapis, Sotiris Kotsiantis
Investigating cluster validation metrics for optimal number of clusters determination. Intell. Decis. Technol. 15 (4) (2021)
Athanasios I. Salamanis, Anastasia-Dimitra Lipitakis, George A. Gravvanis, Sotiris Kotsiantis, Dimosthenis Anagnostopoulos
An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting. Expert Syst. Appl. 180 (2021)
Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos
Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach. J. Comput. High. Educ. 33 (3) (2021)
Pantelis Linardatos, Vasilis Papastefanopoulos, Sotiris Kotsiantis
Explainable AI: A Review of Machine Learning Interpretability Methods. Entropy 23 (1) (2021)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting. Entropy 23 (12) (2021)
Theodor Panagiotakopoulos, Sotiris Kotsiantis, Spiros A. Borotis, Fotis Lazarinis, Achilles Kameas
Applying Machine Learning to Predict Whether Learners Will Start a MOOC After Initial Registration. AIAI Workshops (2021)
Emmanuel G. Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis E. Pintelas
A novel explainable image classification framework: case study on skin cancer and plant disease prediction. Neural Comput. Appl. 33 (22) (2021)
Gautam Srivastava, Jerry Chun-Wei Lin, Dragan Pamucar, Sotiris Kotsiantis
Editorial: Applications of Fuzzy Systems in Data Science and Big Data. IEEE Trans. Fuzzy Syst. 29 (1) (2021)
Iliana Paliari, Aikaterini Karanikola, Sotiris Kotsiantis
A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting. IISA (2021)
Emmanuel G. Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction. J. Imaging 6 (6) (2020)
Stefania Tomasiello, Feng Feng, Sotiris Kotsiantis, Alireza Khastan
Special issue on "Intelligent and fuzzy systems in data science and big data". Evol. Intell. 13 (2) (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)
Konstantinos Lavidas, Anthi Achriani, Stavros Athanassopoulos, Ioannis Messinis, Sotiris Kotsiantis
University students' intention to use search engines for research purposes: A structural equation modeling approach. Educ. Inf. Technol. 25 (4) (2020)
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
Investigation of Combining Logitboost(M5P) under Active Learning Classification Tasks. Informatics 7 (4) (2020)
Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas
Iterative Robust Semi-Supervised Missing Data Imputation. IEEE Access 8 (2020)
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms 13 (1) (2020)
Andreas F. Gkontzis, Sotiris Kotsiantis, Dimitris Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios
Polarity, emotions and online activity of students and tutors as features in predicting grades. Intell. Decis. Technol. 14 (3) (2020)
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
An ensemble forecasting method using univariate time series COVID-19 data. PCI (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)
Aikaterini Karanikola, Sotiris Kotsiantis
A hybrid method for missing value imputation. PCI (2019)
Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-trained eXtreme Gradient Boosting Trees. IISA (2019)
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis
Active learning Rotation Forest for multiclass classification. Comput. Intell. 35 (4) (2019)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
A multi-scheme semi-supervised regression approach. Pattern Recognit. Lett. 125 (2019)
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis
Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Trans. Learn. Technol. 12 (2) (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)
Dimitris G. Tsarmpopoulos, Athanasia N. Papanikolaou, Sotiris Kotsiantis, Theodoula N. Grapsa, George S. Androulakis
Performance Evaluation and Comparison of Multi-objective optimization Algorithms. IISA (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, Aikaterini Karanikola, Vangjel Kazllarof, Sotiris Kotsiantis
Local weighted Averaged 2-Dependence Estimator. SETN (2018)
Andreas F. Gkontzis, Sotiris Kotsiantis, Rozita Tsoni, Vassilios S. Verykios
An effective LA approach to predict student achievement. PCI (2018)
Andreas F. Gkontzis, Chris T. Panagiotakopoulos, Sotiris Kotsiantis, Vassilios S. Verykios
Measuring Engagement to Assess Performance of Students in Distance Learning. IISA (2018)
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)
Maria Tsiakmaki, Georgios Kostopoulos, Giannis Koutsonikos, Christos Pierrakeas, Sotiris Kotsiantis, Omiros Ragos
Predicting University Students' Grades Based on Previous Academic Achievements. IISA (2018)
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Sotiris Kotsiantis
An incrementally updateable ensemble learner. PCI (2018)
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos
Semi-supervised regression: A recent review. J. Intell. Fuzzy Syst. 35 (2) (2018)
George Kostopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Giannis Koutsonikos, George A. Gravvanis
Forecasting students' success in an open university. Int. J. Learn. Technol. 13 (1) (2018)
Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis
Active fuzzy rule induction. EAIS (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)
Georgios Kostopoulos, Sotiris Kotsiantis, Vassilios S. Verykios
A Prognosis of Junior High School Students' Performance Based on Active Learning Methods. BFAL (2017)
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas
Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN (2017)
Sotiris Kotsiantis, Nikolaos K. Tselios, Michalis Xenos
Students' evaluation of tutors in distance education: a quasi-longitudinal study. Int. J. Learn. Technol. 12 (1) (2017)
Vangjel Kazllarof, Stamatis Karlos, Sotiris Kotsiantis, Michalis Xenos
Automated hand gesture recognition exploiting Active Learning methods. PCI (2017)
Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas
Enhancing high school students' performance based on semi-supervised methods. IISA (2017)
Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos, Theodoula N. Grapsa
Early dropout prediction in distance higher education using active learning. IISA (2017)
Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George A. Gravvanis
Predicting Student Performance in Distance Higher Education Using Active Learning. EANN (2017)
Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas
Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL (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)
Nikos Fazakis, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas
Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. IISA (2016)
Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis
Automated hand gesture recognition for educational applications. PCI (2016)
Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas
Effectiveness of semi-supervised learning in bankruptcy prediction. IISA (2016)
Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis
Combining ensembles algorithms of symbolic learners. IISA (2015)
Anastasia-Dimitra Lipitakis, Gerasimos S. Antzoulatos, Sotiris Kotsiantis, Michael N. Vrahatis
Integrating global and local boosting. IISA (2015)
Dimitris Kanellopoulos, Sotiris Kotsiantis
Evaluating and recommending Greek newspapers' websites using clustering. Program 46 (1) (2012)