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Anil Kumar 0010
Person information
- affiliation: University of Hyderabad, School of Computer and Information Sciences, India
Other persons with the same name
- Anil Kumar — disambiguation page
- Anil Kumar 0001 — PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India (and 1 more)
- Anil Kumar 0002 — Institute of Technology Greater Noida, India
- Anil Kumar 0003 — Indian Institute of Technology Guwahati, Department of Biosciences and Bioengineering, Assam, India (and 1 more)
- Anil Kumar 0004 — Maharshi Dayanand University, Department of Mathematics, Rohtak, India
- Anil Kumar 0005 — Amity University, Amity Institute of Technology, Noida, India (and 1 more)
- Anil Kumar 0006 — University of Alberta, Edmonton, AB, Canada (and 1 more)
- Anil Kumar 0007 — GM Cruise, LLC, San Francisco, CA, USA (and 2 more)
- Anil Kumar 0008 — London Metropolitan University, UK (and 2 more)
- Anil Kumar 0009 (aka: Anil Kumar Dahiya 0001) — DIT University, Dehradun, India (and 3 more)
- Anil Kumar 0011 — Institute of Genomics and Integrative Biology, New Delhi, India
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2020 – today
- 2022
- [j3]Anil Kumar, P. S. V. S. Sai Prasad:
Enhancing the scalability of fuzzy rough set approximate reduct computation through fuzzy min-max neural network and crisp discernibility relation formulation. Eng. Appl. Artif. Intell. 110: 104697 (2022) - 2021
- [j2]Anil Kumar, P. S. V. S. Sai Prasad:
Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing. Int. J. Approx. Reason. 139: 69-87 (2021) - 2020
- [j1]Anil Kumar, P. S. V. S. Sai Prasad:
Scalable Fuzzy Rough Set Reduct Computation Using Fuzzy Min-Max Neural Network Preprocessing. IEEE Trans. Fuzzy Syst. 28(5): 953-964 (2020)
2010 – 2019
- 2019
- [c2]Anil Kumar, P. S. V. S. Sai Prasad:
Hybridization of Fuzzy Min-Max Neural Networks with kNN for Enhanced Pattern Classification. ICACDS (1) 2019: 32-44 - [c1]Abhimanyu Bar, Anil Kumar, P. S. V. S. Sai Prasad:
Finding Optimal Rough Set Reduct with A* Search Algorithm. PReMI (1) 2019: 317-327
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