Publications in Journals
1. Nishant Jain and Prasanta K Jana “LRF: A logically randomized forest algorithm for classification and regression problems”, Expert Systems with Applications, Elsevier, Volume 213 Part-C, AN 119225, 2022. https://doi.org/10.1016/j.eswa.2022.119225. (Q1, SCIE, IF-8.665)
2. Nishant Jain and Prasanta K Jana “XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems”, Information Sciences, Elsevier, Volume 613 pp. 139-160, 2022. https://doi.org/10.1016/j.ins.2022.09.040 (Q1, SCIE, IF-8.233)
3. Nishant Jain, Abhinav Tomar, and Prasanta K Jana “A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning”, Journal of Intelligent Information Systems, Springer, Volume 56 pp. 279-302, 2021. https://doi.org/10.1007/s10844-020-00614-9 (Q2, SCIE, IF-3.4)
Communicated: (Under Review)
1. Nishant Jain and Prasanta K Jana “DeRF: A Diversity-enriched Random Forest Algorithm ”, IEEE Transactions on Neural Networks and Learning Systems, Q1, SCI, IF-10.4, IEEE, pp. 0-00, 0000*.
2. Mayank Kumar Jain, Dinesh Gopalani, Yogesh Kumar Meena, and Nishant Jain “Implementation of a Novel Divide and Conquer approach-based Fake News Detector for News Sources”, Neural Computing and Applications, Q1, SCI, IF-6.0, SPRINGER, pp. 0-00, 0000*.
Publications in Conference
1. Kanav Gupta, Chirag Paul, and Nishant Jain “Early Autism Spectrum Disorder Prediction using Fine-Tuned Bernoulli’s Naive Bayes Algorithm”, International Conference on Computation of Artificial Intelligence & Machine Learning (ICCAIML), Springer Manipal University Jaipur, Jaipur, Rajasthan, India.
2. Nishant Jain, and Shipra Shukla “SHAPRFs: SHapely Additive eXplanations based Random Forests algorithm for classification problems”, International Conference on Frontiers in Computing and Systems (COMSYS), Springer Indian Institute of Technology, Mandi, Himachal Predesh, India.
3. Nishant Jain, Abhinav Tomar, and Prasanta K Jana “Novel Framework for Performance Prediction of Small and Medium Scale Enterprises: A Machine Learning Approach”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, pp. 42-47, 2018. DOI:10.1109/ICACCI.2018.8554747
