| Predicting student performance in distance higher education using active learning G Kostopoulos, AD Lipitakis, S Kotsiantis, G Gravvanis Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 35 | 2017 |
| The variability of the reasons for student dropout in distance learning and the prediction of dropout-prone students C Pierrakeas, G Koutsonikos, AD Lipitakis, S Kotsiantis, M Xenos, ... Machine Learning Paradigms: Advances in Learning Analytics, 91-111, 2020 | 27 | 2020 |
| An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting AI Salamanis, AD Lipitakis, GA Gravvanis, S Kotsiantis, ... Expert Systems with Applications 180, 115093, 2021 | 11 | 2021 |
| A class of Generic Approximate Sparse Pseudoinverse Matrix Techniques based on incomplete QR factorization AD Lipitakis, CK Filelis-Papadopoulos, GA Gravvanis, ... 2020 International Conference on Computational Science and Computational …, 2020 | 6 | 2020 |
| The numerical solution of singularly perturbed nonlinear partial differential equations in three space variables: The adaptive explicit inverse preconditioning approach AD Lipitakis Modelling and Simulation in Engineering 2019, 2019 | 6 | 2019 |
| Artificial intelligence and business: A hybrid genetic algorithm for e-business strategic planning and performance evaluation AD Lipitakis, EAEC Lipitakis The Business & Management Review 9 (2), 1-12, 2017 | 6 | 2017 |
| A hybrid Machine Learning methodology for imbalanced datasets AD Lipitakis, S Kotsiantis IISA 2014, The 5th International Conference on Information, Intelligence …, 2014 | 4 | 2014 |
| A note on parallel approximate pseudoinverse matrix techniques for solving linear least squares problems AD Lipitakis, CK Filelis-Papadopoulos, GA Gravvanis, ... Journal of Computational Science 41, 101092, 2020 | 3 | 2020 |
| On machine learning with imbalanced data and research quality evaluation methodologies AD Lipitakis, EAEC Lipitakis 2014 International Conference on Computational Science and Computational …, 2014 | 3 | 2014 |
| Integrating global and local boosting AD Lipitakis, GS Antzoulatos, S Kotsiantis, MN Vrahatis 2015 6th International Conference on Information, Intelligence, Systems and …, 2015 | 2 | 2015 |
| Empirical investigation of factors influencing function as a service performance in different cloud/edge system setups AD Lipitakis, G Kousiouris, M Nikolaidou, C Bardaki, D Anagnostopoulos Simulation Modelling Practice and Theory 128, 102808, 2023 | 1 | 2023 |
| Explicit Iterative Methods of Second Order and Approximate Inverse Preconditioners for Solving Complex Computational Problems AD Lipitakis Applied Mathematics 11 (04), 307, 2020 | 1 | 2020 |
| Combining ensembles algorithms of symbolic learners AD Lipitakis, S Kotsiantis 2015 6th International Conference on Information, Intelligence, Systems and …, 2015 | 1 | 2015 |
| A Note on the Sensitivity of Generic Approximate Sparse Pseudoinverse Matrix for Solving Linear Least Squares Problems AD Lipitakis, GA Gravvanis, CK Filelis-Papadopoulos, ... Advances in Parallel & Distributed Processing, and Applications: Proceedings …, 2021 | | 2021 |
| Computational Science and Intelligence Programming in Business with Genetic, Generic Algorithms and AI Software Products: An Adaptive Algorithmic Approach AD Lipitakis, EAEC Lipitakis 2019 International Conference on Computational Science and Computational …, 2019 | | 2019 |
| Intelligent Transportation Systems and Vehicular Sensor Networks: A Transportation Quality Adaptive Algorithmic Approach AD Lipitakis, EAEC Lipitakis Proceedings of the International Conference on Information and Knowledge …, 2018 | | 2018 |
| A Class of Generalized Approximate Inverse Solvers for Unsymmetric Linear Systems of Irregular Structure Based on Adaptive Algorithmic Modelling for Solving Complex … AD Lipitakis Scientific Research Publishing, 2016 | | 2016 |
| On Development of Health Care Digital Libraries and Health Care Data Analytics: An Adaptive Algorithmic Approach AD Lipitakis, EAEC Lipitakis | | |
