| 2024 | CIKM | EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL. | Debanjan Sadhukhan, Deepanshi Seth, Sanjay Agrawal, Tridib Mukherjee |
| 2024 | COMAD | Generalized Experiment Conclusion Framework for Extremely Volatile Data. | Satyam Anand, Deepanshi Seth, Sanjay Agrawal, Debanjan Sadhukhan, Tridib Mukherjee |
| 2022 | COMAD | ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms. | Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas, Sanjay Agrawal |
| 2021 | SIGIR | AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns. | Deepanshi Seth, Rukma Talwadker, Tridib Mukherjee, Usama Chitapure, Nagesh Adiga, Avantika Gupta |
| 2020 | ICMLA | A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. | Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva |
| 2020 | KDD | Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as Case Study). | Sharanya Eswaran, Mridul Sachdeva, Vikram Vimal, Deepanshi Seth, Suhaas Kalpam, Sanjay Agarwal, Tridib Mukherjee, Samrat Dattagupta |
| 2020 | PAKDD | GAIM: Game Action Information Mining Framework for Multiplayer Online Card Games (Rummy as Case Study). | Sharanya Eswaran, Vikram Vimal, Deepanshi Seth, Tridib Mukherjee |