Augmented AI, ML, and Data Science
- Ghai, A., Kumar, P., & Gupta, S. (2021). A Deep-Learning-based Image Forgery Detection Framework for Controlling the Spread of Misinformation. Information Technology and People.
https://doi.org/10.1108/ITP-10-2020-0699
- Setia, P., Vemireddy, V., & Rathi, M. (2021). Alternate Pathways for Leveraging Digital Technologies in Indian Agriculture. Case Centre, Indian Institute of Management Ahmedabad.
https://cases.iima.ac.in/index.php/alternate-pathways-for-leveraging-digital-technologies-in-indian-agriculture.html
- Gupta, S., & Kumar, P. (2020). An Overlapping Community Detection Algorithm based on Rough Clustering of Links. Data and Knowledge Engineering, 125, 101777.
https://doi.org/10.1016/j.datak.2019.101777
- Gupta, S., & Deodhar, S.J. (2020). A Hybrid Granulation Approach for Community Detection in Binary Complex Networks. Proc. of 6th Biennial Conference of the Indian Academy of Management, January 2-4, 2020.
- Gupta S., Kumar, P., & Perfilieva I. (2019). A Community Detection Algorithm Based on Granulation of Links. The Fifth International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA), Valencia, Spain. (Acceptance rate 0.22). Best Paper Award.http://www.thinkmind.org/index.php?view=article&articleid=alldata_2019_4_10_80019
- Narayanaswami, S. (2019). A Novel Learning Heuristic Applied for Computationally Hard Managerial Decision Making and Transportation Operations Control. Proceedings of International Conference on Production and Operations Management Society.https://doi.org/10.1109/POMS.2018.8629467
- Kumar, P., Gupta, S., & Bhasker, B. (2017). An Upper Approximation based Community Detection Algorithm for Complex Networks. Decision Support Systems, 96, 103-118.https://doi.org/10.1016/j.dss.2017.02.010
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