Support Vector Machine for Large Databases as Classifier. - Rahul Kumar Sevakula; Nishchal K. Verma (SEMCCO, 2012)

Fuzzy Support Vector Machine using Hausdorff distance. - Rahul Kumar Sevakula; Nishchal K. Verma (FUZZ-IEEE, 2013)

Android app for intelligent CBM. - Nishchal K. Verma; Sumit Sarkar; Sonal Dixit; Rahul Kumar Sevakula; Al Salour (ISIE, 2013)

Clustering based outlier detection in fuzzy SVM. - Rahul Kumar Sevakula; Nishchal K. Verma (FUZZ-IEEE, 2014)

Unsupervised approach for object matching using Speeded Up Robust Features. - A. Harsha Vardhan; Nishchal K. Verma; Rahul Kumar Sevakula; Al Salour (AIPR, 2015)

Fuzzy Rule Reduction using Sparse Auto-Encoders. - Rahul Kumar Sevakula; Nishchal K. Verma (FUZZ-IEEE, 2015)

Proceedings in Adaptation, Learning and Optimization. - Nishchal K. Verma; Ankit Goyal; A. Harsha Vardhan; Rahul Kumar Sevakula; Al Salour (IES, 2015)

Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction. - Vikas Singh; Nikhil Baranwal; Rahul Kumar Sevakula; Nishchal K. Verma; Yan Cui 001 (BIBM, 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 (ICIIS, 2016)

Generating feature sets for fault diagnosis using denoising stacked auto-encoder. - Raghuveer Thirukovalluru; Sonal Dixit; Rahul Kumar Sevakula; Nishchal K. Verma; Al Salour (ICPHM, 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)

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.; et al. (BMC Bioinform., 2016)

Compounding General Purpose Membership Functions for Fuzzy Support Vector Machine Under Noisy Environment. - Rahul Kumar Sevakula; Nishchal K. Verma (IEEE Trans. Fuzzy Syst., 2017)

Assessing Generalization Ability of Majority Vote Point Classifiers. - Rahul Kumar Sevakula; Nishchal K. Verma (IEEE Trans. Neural Networks Learn. Syst., 2017)

Pattern Analysis Framework With Graphical Indices for Condition-Based Monitoring. - Nishchal K. Verma; Rahul Kumar Sevakula; Raghuveer Thirukovalluru (IEEE Trans. Reliab., 2017)

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks. - Rahul Kumar Sevakula; Vikas Singh; Nishchal K. Verma; Chandan Kumar; Yan Cui 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

On fine-tuning of Autoencoders for Fuzzy rule classifiers. - Rahul Kumar Sevakula; Nishchal Kumar Verma; Hisao Ishibuchi (CoRR, 2021)

Improving Classifier Generalization - Real-Time Machine Learning based Applications - Rahul Kumar Sevakula; Nishchal K. Verma (Springer, 2023)