| Predicting perovskite bandgap and solar cell performance with machine learning EC Gok, MO Yildirim, MPU Haris, E Eren, M Pegu, NH Hemasiri, P Huang, ... Solar RRL 6 (2), 2100927, 2022 | 23 | 2022 |
| A machine learning approach for metal oxide based polymer composites as charge selective layers in perovskite solar cells MO Yildirim, EC Gok, NH Hemasiri, E Eren, S Kazim, AU Oksuz, S Ahmad ChemPlusChem 86 (5), 785-793, 2021 | 13 | 2021 |
| Comparison of machine learning models on performance of single-and dual-type electrochromic devices EC Gok, MO Yildirim, E Eren, AU Oksuz ACS omega 5 (36), 23257-23267, 2020 | 13 | 2020 |
| Automated Machine Learning Approach in Material Discovery of Hole Selective Layers for Perovskite Solar Cells MO Yildirim, EC Gok Yildirim, E Eren, P Huang, MPU Haris, S Kazim, ... Energy Technology 11 (1), 2200980, 2023 | 5 | 2023 |
| Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates MO Yildirim, EC Gok, G Sokar, DC Mocanu, J Vanschoren Conference on Parsimony and Learning, 94-107, 2024 | 2 | 2024 |
| Adaptive regularization for class-incremental learning ECG Yildirim, MO Yildirim, M Kilickaya, J Vanschoren arXiv preprint arXiv:2303.13113, 2023 | 2 | 2023 |
| FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts MO Yildirim, ECG Yildirim, DC Mocanu, J Vanschoren arXiv preprint arXiv:2403.14684, 2024 | | 2024 |
| AdaCL: Adaptive Continual Learning ECG Yildirim, MO Yildirim, M Kilickaya, J Vanschoren First ContinualAI Unconference-Preregistration Track, 0 | | |
| A Sailfish Optimization Algorithm based Feature Selection to Diagnose Heart Disease MO YILDIRIM, E AYDEMIR | | |
