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ORCIDDeepanshi Seth
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- affiliation: Games24x7, Bangalore, India
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2020 – today
- 2024
[c6]Debanjan Sadhukhan, Deepanshi Seth, Sanjay Agrawal, Tridib Mukherjee:
EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL. CIKM 2024: 4836-4843- 2022
- [c5]Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas, Sanjay Agrawal:
ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms. COMAD/CODS 2022: 186-194 - 2021
- [c4]Deepanshi Seth, Rukma Talwadker, Tridib Mukherjee, Usama Chitapure, Nagesh Adiga, Avantika Gupta:
AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns. SIGIR 2021: 2639-2640 - 2020
- [c3]Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva:
A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. ICMLA 2020: 454-459 - [c2]Sharanya Eswaran, Mridul Sachdeva, Vikram Vimal, Deepanshi Seth, Suhaas Kalpam, Sanjay Agarwal, Tridib Mukherjee, Samrat Dattagupta:
Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as Case Study). KDD 2020: 2657-2665 - [c1]Sharanya Eswaran, Vikram Vimal, Deepanshi Seth, Tridib Mukherjee:
GAIM: Game Action Information Mining Framework for Multiplayer Online Card Games (Rummy as Case Study). PAKDD (2) 2020: 435-448
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