| Sequential Outlier Detection Based on Incremental Decision Trees K Gokcesu, MM Neyshabouri, H Gokcesu, SS Kozat IEEE Transactions on Signal Processing 67 (4), 993-1005, 2018 | 43 | 2018 |
| Nonlinear regression via incremental decision trees ND Vanli, MO Sayin, M Mohaghegh, H Ozkan, SS Kozat Pattern Recognition 86, 1-13, 2019 | 28 | 2019 |
| Asymptotically optimal contextual bandit algorithm using hierarchical structures MM Neyshabouri, K Gokcesu, H Gokcesu, H Ozkan, SS Kozat IEEE transactions on neural networks and learning systems 30 (3), 923-937, 2018 | 22 | 2018 |
| Inferring tumor progression in large datasets M Mohaghegh Neyshabouri, SH Jun, J Lagergren PLOS Computational Biology 16 (10), e1008183, 2020 | 12 | 2020 |
| ToMExO: A probabilistic tree-structured model for cancer progression M Mohaghegh Neyshabouri, J Lagergren PLOS Computational Biology 18 (12), e1010732, 2022 | 3 | 2022 |
| Highly efficient nonlinear regression for big data with lexicographical splitting M Mohaghegh Neyshabouri, O Demir, I Delibalta, SS Kozat Signal, Image and Video Processing 11, 391-398, 2017 | 2 | 2017 |
| Inter and intra-tumor models of somatic evolution in cancer M Mohaghegh Neyshabouri KTH Royal Institute of Technology, 2023 | | 2023 |
| C-ToMExO: Learning Cancer Progression Dynamics from Clonal Composition of Tumors M Mohaghegh Neyshabouri, S Dimitrakopoulou, J Lagergren bioRxiv, 2022.12. 23.521788, 2022 | | 2022 |
| A tree-based solution to nonlinear regression problem O Demir, M Mohaghegh, I Delibalta, SS Kozat 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | | 2016 |
