Papers in Journals

• C. Gautam, A. Tiwari and Q. Leng, “On The Construction of Extreme Learning Machine for Online and Offline One Class Classifier - An Expanded Toolbox”. Extended version of ELM-2015 paper (Selected in conference to submit it for Journal), Neurocomputing (ELSEVIER) (Accepted), 2016. (Impact Factor: 2.083)

• C. Gautam and V. Ravi, “Counter Propagation Auto Associative Neural Network based Data Imputation”, Information Sciences (ELSEVIER), Vol. 325, pp. 288-299, 2015. (Impact Factor: 4.038)

• C. Gautam and V. Ravi, “Data Imputation via Evolutionary Computation, Clustering and a Neural Network”, Neurocomputing (ELSEVIER), Vol. 153, pp. 134-142, 2015. (Impact Factor: 2.083)

     Papers in Conferences

• C. Gautam, A. Tiwari and S. Ravindran, “Construction of Multi-class Classifiers by Extreme Learning Machine Based One Class Classifiers”. (Paper Accepted in IJCNN-2016)

• C. Gautam and A. Tiwari, On The Construction of Extreme Learning Machine for One Class Classifier, In Proceedings of 6th ELM-2015 Volume 1 (Springer), Hangzhou, China, December, vol. 6, pp. 447-461, 2015. · . (Travel Grant approved by Department of Science and Technology, Govt. of India)

• S. Ravindran, C. Gautam and A. Tiwari, “Keystroke User Recognition through Extreme Learning Machine andEvolving Clustering Method”. In Proceedings of 6th ICCIC-2015 (IEEE), Madurai, India. (Best PaperAward)

• C. Gautam and V. Ravi, “Evolving Clustering Based Data Imputation”. 3rd IEEE International Conference on International Conference on Circuit, Power and Computing Technologies (ICCPCT), Kanyakumari, pp. 1763-1769.

• K. Ravi, V. Ravi and C. Gautam, “Online and semi-online sentiment classification”. IEEE International Conference Computing, Communication & Automation (ICCCA), 2015, pp. 938-943.

Book Chapter

• C. Gautam and V. Ravi, “Auto Associative Extreme Learning Machine based Hybrids for Data Imputation”, Chapter Accepted in IGI Global.