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ORCIDMohammadreza Mohaghegh Neyshabouri
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2020 – today
- 2022
[j6]Mohammadreza Mohaghegh Neyshabouri
, Jens Lagergren:
ToMExO: A probabilistic tree-structured model for cancer progression. PLoS Comput. Biol. 18(12): 1010732 (2022)- 2020
- [j5]Mohammadreza Mohaghegh Neyshabouri, Seong-Hwan Jun, Jens Lagergren:
Inferring tumor progression in large datasets. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2019
- [j4]N. Denizcan Vanli, Muhammed O. Sayin, Mohammadreza Mohaghegh Neyshabouri, Huseyin Ozkan, Suleyman Serdar Kozat:
Nonlinear regression via incremental decision trees. Pattern Recognit. 86: 1-13 (2019) - [j3]Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Hakan Gökcesu, Huseyin Ozkan, Suleyman Serdar Kozat:
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Trans. Neural Networks Learn. Syst. 30(3): 923-937 (2019) - [j2]Kaan Gökcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman Serdar Kozat:
Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Trans. Signal Process. 67(4): 993-1005 (2019) - 2018
- [i2]Mohammadreza Mohaghegh Neyshabouri, Suleyman Serdar Kozat:
Sequential Outlier Detection based on Incremental Decision Trees. CoRR abs/1803.03674 (2018) - 2017
- [j1]Mohammadreza Mohaghegh Neyshabouri, Oguzhan Demir, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly efficient nonlinear regression for big data with lexicographical splitting. Signal Image Video Process. 11(3): 391-398 (2017) - 2016
- [c1]Oguzhan Demir, Mohammadreza Mohaghegh Neyshabouri, Ibrahim Delibalta, Suleyman Serdar Kozat:
A tree-based solution to nonlinear regression problem. SIU 2016: 1233-1236 - [i1]Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Selami Ciftci, Suleyman Serdar Kozat:
A Nearly Optimal Contextual Bandit Algorithm. CoRR abs/1612.01367 (2016)
Coauthor Index
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