Rahul Kumar Sevakula

According to our database, Rahul Kumar Sevakula authored at least 18 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Improving Classifier Generalization - Real-Time Machine Learning based Applications

Rahul Kumar Sevakula, Nishchal K. Verma

Studies in Computational Intelligence 989, Springer, ISBN: 978-981-19-5072-8, 2023

2021

On fine-tuning of Autoencoders for Fuzzy rule classifiers.

Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi

CoRR, 2021

2019

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.

Rahul Kumar Sevakula, Vikas Singh, Nishchal K. Verma, Chandan Kumar, Yan Cui

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2017

Pattern Analysis Framework With Graphical Indices for Condition-Based Monitoring.

Nishchal K. Verma, Rahul Kumar Sevakula, Raghuveer Thirukovalluru

IEEE Trans. Reliab., 2017

Assessing Generalization Ability of Majority Vote Point Classifiers.

Rahul Kumar Sevakula, Nishchal K. Verma

IEEE Trans. Neural Networks Learn. Syst., 2017

Compounding General Purpose Membership Functions for Fuzzy Support Vector Machine Under Noisy Environment.

Rahul Kumar Sevakula, Nishchal K. Verma

IEEE Trans. Fuzzy Syst., 2017

2016

Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016: Cadiz, KY, USA. 8-10 April 2016.

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

BMC Bioinform., August, 2016

Intelligent Condition Based Monitoring Using Acoustic Signals for Air Compressors.

Nishchal K. Verma, Rahul Kumar Sevakula, Sonal Dixit, Al Salour

IEEE Trans. Reliab., 2016

Generating feature sets for fault diagnosis using denoising stacked auto-encoder.

Raghuveer Thirukovalluru, Sonal Dixit, Rahul Kumar Sevakula, Nishchal K. Verma, Al Salour

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce.

Vikas Singh, Rahul K. Gupta, Rahul Kumar Sevakula, Nishchal K. Verma

Proceedings of the 11th International Conference on Industrial and Information Systems, 2016

Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction.

Vikas Singh, Nikhil Baranwal, Rahul Kumar Sevakula, Nishchal K. Verma, Yan Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Proceedings in Adaptation, Learning and Optimization.

Nishchal K. Verma, Ankit Goyal, A. Harsha Vardhan, Rahul Kumar Sevakula, Al Salour

Proceedings of the Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, 2015

Fuzzy Rule Reduction using Sparse Auto-Encoders.

Rahul Kumar Sevakula, Nishchal K. Verma

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Unsupervised approach for object matching using Speeded Up Robust Features.

A. Harsha Vardhan, Nishchal K. Verma, Rahul Kumar Sevakula, Al Salour

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014

Clustering based outlier detection in fuzzy SVM.

Rahul Kumar Sevakula, Nishchal K. Verma

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Android app for intelligent CBM.

Nishchal K. Verma, Sumit Sarkar, Sonal Dixit, Rahul Kumar Sevakula, Al Salour

Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Fuzzy Support Vector Machine using Hausdorff distance.

Rahul Kumar Sevakula, Nishchal K. Verma

Proceedings of the FUZZ-IEEE 2013, 2013

2012

Support Vector Machine for Large Databases as Classifier.

Rahul Kumar Sevakula, Nishchal K. Verma

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012