Deepanshi Seth

According to our database, Deepanshi Seth authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL.

Debanjan Sadhukhan, Deepanshi Seth, Sanjay Agrawal, Tridib Mukherjee

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2022

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

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns.

Deepanshi Seth, Rukma Talwadker, Tridib Mukherjee, Usama Chitapure, Nagesh Adiga, Avantika Gupta

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

GAIM: Game Action Information Mining Framework for Multiplayer Online Card Games (Rummy as Case Study).

Sharanya Eswaran, Vikram Vimal, Deepanshi Seth, Tridib Mukherjee

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming.

Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020