| Explainable AI: A Review of Machine Learning Interpretability Methods P Linardatos, V Papastefanopoulos, S Kotsiantis Entropy 23 (1), 18, 2020 | 2631 | 2020 |
| COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population V Papastefanopoulos, P Linardatos, S Kotsiantis Applied sciences 10 (11), 3880, 2020 | 220 | 2020 |
| Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities V Papastefanopoulos, P Linardatos, T Panagiotakopoulos, S Kotsiantis Smart Cities 6 (5), 2519-2552, 2023 | 18 | 2023 |
| CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data P Linardatos, V Papastefanopoulos, T Panagiotakopoulos, S Kotsiantis Scientific reports 13 (1), 17266, 2023 | 14 | 2023 |
| Unsupervised Outlier Detection: A Meta-Learning Algorithm Based on Feature Selection V Papastefanopoulos, P Linardatos, S Kotsiantis Electronics 10 (18), 2236, 2021 | 7 | 2021 |
| Combining normalizing flows with decision trees for interpretable unsupervised outlier detection V Papastefanopoulos, P Linardatos, S Kotsiantis Engineering Applications of Artificial Intelligence 141, 109770, 2025 | | 2025 |
| Regressor Cascading for Time Series Forecasting P Linardatos, V Papastefanopoulos, S Kotsiantis Intelligent Decision Technologies 18 (2), 1139-1156, 2024 | | 2024 |
| Using Semi-Supervised Learning Methods for Credit Score Problem V Papastefanopoulos, S Karlos, S Kotsiantis Advances in Smart Systems Research 6 (2), 28-40, 2017 | | 2017 |
Sotiris KotsiantisAssociate Professor, Department of Mathematics, University of Patras, GreeceEmail verificata su math.upatras.gr