| A heterogeneous cluster ensemble model for improving the stability of fuzzy cluster analysis E Bedalli, E Mançellari, O Asilkan Procedia Computer Science 102, 129-136, 2016 | 20 | 2016 |
| Exploring user feedback data via a hybrid fuzzy clustering model combining variations of FCM and density-based clustering E Bedalli, E Mançellari, E Haskasa Advances in Intelligent Networking and Collaborative Systems: The 10th …, 2019 | 3 | 2019 |
| Creating High-Resolution Adversarial Images Against Convolutional Neural Networks with the Noise Blowing-Up Method F Leprévost, AO Topal, E Mançellari Springer Nature 13995, 121–134, 2023 | 2 | 2023 |
| Some assessments on applications of fuzzy clustering techniques in multimedia compression systems RR Enea Mançellari , Erind Bedalli MEDES '19: Proceedings of the 11th International Conference on Management of …, 2019 | 1* | 2019 |
| The Noise Blowing-Up Strategy Creates High Quality High Resolution Adversarial Images against Convolutional Neural Networks AO Topal, E Mancellari, F Leprévost, E Avdusinovic, T Gillet Applied Sciences 14 (8), 3493, 2024 | | 2024 |
| Zone-of-Interest Strategy for the Creation of High-Resolution Adversarial Images Against Convolutional Neural Networks F Leprévost, AO Topal, E Mancellari, K Lavangnananda 2023 15th International Conference on Information Technology and Electrical …, 2023 | | 2023 |
| STOCK MARKET PRICE PREDICTION USING MACHINE LEARNING ALGORITHMS E Ponari, E Mançellari EPOKA UNIVERSITY, 2022 | | 2022 |
| A semi-supervised fuzzy clustering approach via modifications of the DBSCAN algorithm E Bedalli, E Mançellari, R Rada International Conference on Theory and Application of Soft Computing …, 2019 | | 2019 |
