Explainable ai: A review of machine learning interpretability methods P Linardatos, V Papastefanopoulos, S Kotsiantis Entropy 23 (1), 18, 2020 | 1858 | 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 | 200 | 2020 |
Bitcoin price prediction combining data and text mining P Linardatos, S Kotsiantis Advances in Integrations of Intelligent Methods: Post-workshop volume of the …, 2020 | 13 | 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 | 5 | 2023 |
Unsupervised outlier detection: a meta-learning algorithm based on feature selection V Papastefanopoulos, P Linardatos, S Kotsiantis Electronics 10 (18), 2236, 2021 | 5 | 2021 |
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 | 4 | 2023 |
The CURSOR Search and Rescue (SaR) Kit: an innovative solution for improving the efficiency of Urban SaR Operations. T Ristmae, DD Dionysiou, M Koutsokeras, A Douklias, E Ouzounoglou, ... ISCRAM, 867-880, 2021 | 3 | 2021 |
Regressor cascading for time series forecasting P Linardatos, V Papastefanopoulos, S Kotsiantis Intelligent Decision Technologies, 1-18, 0 | | |