Research

Banati, H., Sharma, R. and Yadav, A. (2024). Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection. Journal of Classification. Springer. https://doi.org/10.1007/s00357-024-09468-0. (Scopus, SCIE, IF 2022: 2.0)

Sharma, R., Deol, S., Kaushish, U., Pandey, P. and Maurya, V. (2023). DWAEF: a deep weighted average ensemble framework harnessing novel indicators for sarcasm detection. Data Science. 6(1-2), 17–44. IOS Press. ISSN: 2451-8484. https://doi.org/10.3233/DS-220058.  (Scopus)

Gupta, B., Sharma, R., Bansal, R., Soni, G.K., Negi, P., Purdhani, P. (2023). An adaptive system for predicting student attentiveness in online classrooms. Indonesian Journal of Electrical Engineering and Computer Science, 31(2), 1136–1146.  https://doi.org/10.11591/ijeecs.v31.i2.pp1136-1146. (Scopus)

Sharma, R., Bedi, P. and Banati, H. (2013). Stigmergic Agent based Adaptive Content Sequencing in an e-Learning Environment. International Journal of Advanced Intelligence Paradigms (IJAIP). 5(1/2), 59–82. Inderscience. https://doi.org/10.1504/IJAIP.2013.054673.  (Scopus)

Bedi, P., Vatsa, A. and Sharma, R. (2013). Trust and Context View based Knowledge Sharing in MANets. International Journal of Trust Management in Computing and Communications (IJTMCC), 1(1), 85–103. Inderscience.  https://doi.org/10.1504/IJTMCC.2013.052527. 

Sharma, R., Banati, H. and Bedi, P. (2012). Building Socially-aware e-Learning Systems through Knowledge Management. International Journal of Knowledge Management (IJKM), 8(3), 1–27. IGI-Global. https://doi.org/10.4018/jkm.2012070101. (Scopus, ESCI, IF 2022: 1.6)

Sharma, R., Banati, H. and Bedi, P. (2011). Analyzing User Interaction to Design an Intelligent e-Learning Environment. International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education, 10(4), 441–460. AACE.  (Scopus)

Kumar, A., Sharma, R. and Bedi, P. (2023). Enhancing Named Entity Recognition with DistilBERT and Attention Ensemble Fusion. In: 5th International Conference on Artificial Intelligence and Speech Technology (AIST 2023), 26th - 27th December, 2023. Communications in Computer and Information Science. Springer, Singapore. (Scopus)

Varshney, A., Kapoor, Y., Thukral, A., Sharma, R. and Bedi, P. (2022). Performing Sentiment Analysis on Twitter Data Using Deep Learning Models: A Comparative Study. In: Advances in Data and Information Sciences, Lecture Notes in Networks and Systems, 318, pp. 371–381. https://doi.org/10.1007/978-981-16-5689-7_33. (Scopus)

Sharma R., Uniyal S., Gera V. (2019) Performing Interest Mining on Tweets of Twitter Users for Recommending Other Users with Similar Interests. In: Pati B., Panigrahi C., Misra S., Pujari A., Bakshi S. (Eds.): Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, 713. Springer, Singapore. DOI: 10.1007/978-981-13-1708-8_55. (Scopus)

Sharma R., Mudgal T. (2019) Primitive Feature-Based Optical Character Recognition of the Devanagari Script. In: Panigrahi C., Pujari A., Misra S., Pati B., Li KC. (Eds.): Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, 714. Springer, Singapore. DOI: 10.1007/978-981-13-0224-4_23. (Scopus)

Sharma, R., Datta, S.M., Banati, H. and Bedi, P. (2012). An opinion-based framework for designing socially-aware e-learning systems. In: International Conference on Intelligent System Design and Applications (ISDA’12), pp. 431–436, Kochi, India. DOI: 10.1109/ISDA.2012.6416577. (Scopus)

Sharma, R., Banati, H. and Bedi, P. (2011). Adaptive Content Sequencing for e-Learning Courses using Ant Colony Optimization. In: K. Deep et al (Eds.): Proceedings of the International Conference on Soft Computing for Problem Solving (SoCPros 2011), Advances in Intelligent And Soft Computing, 131, pp. 579–590. Roorkee, India. Springer. DOI: 10.1007/978-81-322-0491-6_53. (Scopus)

Sharma, R., Banati, H. and Bedi, P. (2011). Incorporating Social Opinion in Content Selection for an e-Learning Course. In: 6th International Conference on Computer Science & Education (ICCSE 2011), pp. 1027–1032, Singapore. IEEE. DOI: 10.1109/ICCSE.2011.6028811. (Scopus)

Sharma, R., Banati, H. and Bedi, P. (2011). Social Support Based Multi-Agent Framework for Designing an e-Learning Course. In: 2011 IEEE Third International Conference on Communication Software and Networks (ICCSN), pp. 160–164, China. IEEE. DOI: 10.1109/ICCSN.2011.6013800. (Scopus)

Bedi, P., Banati, H. and Sharma, R. (2010). Designing an intelligent e-learning environment by user interaction analysis. In: 2nd International Conference on Intelligent Human Computer Interaction (IHCI 2010), pp. 372–377, Allahabad, India. Springer.

Thukral, T., Sharma, R., Banati, H. and Bedi, P. (2007). Modeling roles in e learning: MoReL. In: Advances in Computer Vision and Information Technology (ACVIT ’07), pp. 612–620, Aurangabad, India.