Parantapa Bhattacharya

Orcid: 0000-0002-3626-9939

According to our database1, Parantapa Bhattacharya authored at least 27 papers between 2012 and 2023.

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Bibliography

2023
A framework for modeling human behavior in large-scale agent-based epidemic simulations.
Simul., December, 2023

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support.
Int. J. High Perform. Comput. Appl., 2023

Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities.
Proceedings of the 5th IEEE International Conference on Trust, 2023

Deepfake Text Detection: Limitations and Opportunities.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations.
CoRR, 2022

Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors.
CoRR, 2022

Effective Social Network-Based Allocation of COVID-19 Vaccines.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Deepfake Videos in the Wild: Analysis and Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation.
Proceedings of the Multi-Agent-Based Simulation XXII - 22nd International Workshop, 2021

Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data.
Proceedings of the 1st Workshop on Agent-based Modeling and Policy-Making (AMPM2021) co-located with 34th International Conference on Legal Knowledge and Information Systems (JURIX2021), 2021

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents.
Proceedings of the Engineering Multi-Agent Systems - 9th International Workshop, 2021

AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models.
Proceedings of the IEEE European Symposium on Security and Privacy, 2020

From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics.
ACM Trans. Web, 2019

The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2016
Characterizing Deleted Tweets and Their Authors.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream.
ACM Trans. Web, 2015

2014
Inferring user interests in the Twitter social network.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Deep Twitter diving: exploring topical groups in microblogs at scale.
Proceedings of the Computer Supported Cooperative Work, 2014

Learning a Linear Influence Model from Transient Opinion Dynamics.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Remedy: Network-Aware Steady State VM Management for Data Centers.
Proceedings of the NETWORKING 2012, 2012

VMPatrol: Dynamic and automated QoS for virtual machine migrations.
Proceedings of the 8th International Conference on Network and Service Management, 2012


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