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ORCIDRahul Kumar Sevakula
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2020 – today
- 2023
[b1]Rahul Kumar Sevakula, Nishchal K. Verma:
Improving Classifier Generalization - Real-Time Machine Learning based Applications. Studies in Computational Intelligence 989, Springer 2023, ISBN 978-981-19-5072-8, pp. 1-157- 2021
- [i1]Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi:
On fine-tuning of Autoencoders for Fuzzy rule classifiers. CoRR abs/2106.11182 (2021)
2010 – 2019
- 2019
- [j6]Rahul Kumar Sevakula
, Vikas Singh, Nishchal K. Verma, Chandan Kumar, Yan Cui:
Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 2089-2100 (2019) - 2017
- [j5]Rahul Kumar Sevakula, Nishchal K. Verma:
Compounding General Purpose Membership Functions for Fuzzy Support Vector Machine Under Noisy Environment. IEEE Trans. Fuzzy Syst. 25(6): 1446-1459 (2017) - [j4]Rahul Kumar Sevakula, Nishchal K. Verma:
Assessing Generalization Ability of Majority Vote Point Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2985-2997 (2017) - [j3]Nishchal K. Verma, Rahul Kumar Sevakula, Raghuveer Thirukovalluru:
Pattern Analysis Framework With Graphical Indices for Condition-Based Monitoring. IEEE Trans. Reliab. 66(4): 1085-1100 (2017) - 2016
- [j2]Eric C. Rouchka, Julia H. Chariker, Benjamin J. Harrison, Juw Won Park, Xueyuan Cao, Stanley Pounds, Susana C. Raimondi, James R. Downing, Raul C. Ribeiro, Jeffrey Rubnitz, Jatinder Lamba, Bernie J. Daigle Jr., Deborah Burgess, Stephanie Gehrlich, John C. Carmen, Nicholas Johnson, Chandrakanth Emani, Kalpani De Silva, Michael P. Heaton, Theodore S. Kalbfleisch, Teeradache Viangteeravat, Rahul Mudunuri, Oluwaseun Ajayi, Fatih Sen, Eunice Y. Huang, Mohammad Mohebbi, Luaire Florian, Douglas J. Jackson, John F. Naber, Akm Sabbir, Sally R. Ellingson, Yuping Lu, Charles A. Phillips, Michael A. Langston, Rahul Kumar Sevakula, Raghuveer Thirukovalluru, Nishchal K. Verma, Yan Cui, Mohammed Sayed, Jing Wang, Qi Liu, Yu Shyr, Xiaofei Zhang, Naresh Prodduturi, Gavin R. Oliver, Diane Grill, Jie Na, Jeanette Eckel-Passow, Eric W. Klee, Michael M. Goodin, Mark L. Farman, Harrison Inocencio, Chanyong Jang, Jerzy W. Jaromczyk, Neil Moore, Kelly L. Sovacool, Leon Dent, Mike Izban, Sammed N. Mandape, Shruti S. Sakhare, Siddharth Pratap, Dana Marshall, M. Scotty Depriest, James N. MacLeod, Hanady Adam, Ethan Blandford, Joel Campbell, Joshua Castlen, Brittany Dixon, Ginger Gilbert, Aaron Hall, Philip Kreisle, Jessica Lasher, Bethany Oakes, Allison Speer, Maximilian Valentine, Naga Satya Venkateswara Ra Nagisetty, Rony Jose, Robert W. Rooney, David Hains:
Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016: Cadiz, KY, USA. 8-10 April 2016. BMC Bioinform. 17(S-10) (2016) - [j1]Nishchal K. Verma, Rahul Kumar Sevakula, Sonal Dixit, Al Salour:
Intelligent Condition Based Monitoring Using Acoustic Signals for Air Compressors. IEEE Trans. Reliab. 65(1): 291-309 (2016) - [c10]Vikas Singh, Nikhil Baranwal, Rahul Kumar Sevakula, Nishchal K. Verma, Yan Cui:
Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction. BIBM 2016: 1542-1548 - [c9]Vikas Singh, Rahul K. Gupta, Rahul Kumar Sevakula, Nishchal K. Verma:
Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce. ICIIS 2016: 333-338 - [c8]Raghuveer Thirukovalluru, Sonal Dixit, Rahul Kumar Sevakula, Nishchal K. Verma, Al Salour:
Generating feature sets for fault diagnosis using denoising stacked auto-encoder. ICPHM 2016: 1-7 - 2015
- [c7]A. Harsha Vardhan, Nishchal K. Verma, Rahul Kumar Sevakula, Al Salour:
Unsupervised approach for object matching using Speeded Up Robust Features. AIPR 2015: 1-8 - [c6]Rahul Kumar Sevakula, Nishchal K. Verma:
Fuzzy Rule Reduction using Sparse Auto-Encoders. FUZZ-IEEE 2015: 1-7 - [c5]Nishchal K. Verma, Ankit Goyal, A. Harsha Vardhan, Rahul Kumar Sevakula, Al Salour:
Proceedings in Adaptation, Learning and Optimization. IES 2015: 415-427 - 2014
- [c4]Rahul Kumar Sevakula, Nishchal K. Verma:
Clustering based outlier detection in fuzzy SVM. FUZZ-IEEE 2014: 1172-1177 - 2013
- [c3]Rahul Kumar Sevakula, Nishchal K. Verma:
Fuzzy Support Vector Machine using Hausdorff distance. FUZZ-IEEE 2013: 1-6 - [c2]Nishchal K. Verma, Sumit Sarkar, Sonal Dixit, Rahul Kumar Sevakula, Al Salour:
Android app for intelligent CBM. ISIE 2013: 1-6 - 2012
- [c1]Rahul Kumar Sevakula, Nishchal K. Verma:
Support Vector Machine for Large Databases as Classifier. SEMCCO 2012: 303-313
Coauthor Index
aka: Nishchal Kumar Verma
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