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2020 – today
- 2023
[j4]Parantapa Bhattacharya
, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe:
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37(1): 4-27 (2023)- [j3]Jan de Mooij, Parantapa Bhattacharya, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup:
A framework for modeling human behavior in large-scale agent-based epidemic simulations. Simul. 99(12): 1183-1211 (2023) - [c21]Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath:
Deepfake Text Detection: Limitations and Opportunities. SP 2023: 1613-1630 - [c20]Galen Harrison, Przemyslaw J. Porebski, Jiangzhuo Chen, Mandy L. Wilson, Henning S. Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti, Li Xiong, James Joshi, Madhav V. Marathe:
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 2023: 23-33 - 2022
- [c19]Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe:
Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD 2022: 4675-4683 - [i5]Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath:
Deepfake Text Detection: Limitations and Opportunities. CoRR abs/2210.09421 (2022) - [i4]Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly:
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. CoRR abs/2212.12594 (2022) - [i3]Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly:
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR abs/2212.13897 (2022) - 2021
- [c18]Sandipan Sikdar, Parantapa Bhattacharya, Kieran Heese:
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. ACL/IJCNLP (1) 2021: 865-878 - [c17]Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe:
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021: 1566-1574 - [c16]Parantapa Bhattacharya, A. Jan de Mooij, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup:
PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. EMAS@AAMAS 2021: 1-21 - [c15]Dustin Machi, Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning S. Mortveit, Srinivasan Venkatramanan, Bryan L. Lewis, Mandy L. Wilson, Arindam Fadikar, Tom Maiden, Christopher L. Barrett, Madhav V. Marathe:
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS 2021: 639-650 - [c14]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. AMPM@JURIX 2021 - [c13]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. MABS 2021: 99-112 - [c12]Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath:
Deepfake Videos in the Wild: Analysis and Detection. WWW 2021: 981-992 - [d2]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Large-scale Data-driven Agent-based Simulation of Covid-19. Zenodo, 2021
- [d1]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Sim-2APL - A Practical Agent Programming Language for Simulation. Zenodo, 2021 - [i2]Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath:
Deepfake Videos in the Wild: Analysis and Detection. CoRR abs/2103.04263 (2021) - [i1]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR abs/2104.02107 (2021) - 2020
- [c11]Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw J. Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav V. Marathe:
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData 2020: 1380-1387 - [c10]Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath:
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P 2020: 139-157
2010 – 2019
- 2019
- [j2]Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web 13(3): 16:1-16:33 (2019) - [c9]Parantapa Bhattacharya, Saliya Ekanayake, Chris J. Kuhlman, Christian Lebiere, Don Morrison, Samarth Swarup, Mandy L. Wilson, Mark G. Orr:
The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. AAMAS 2019: 1635-1643 - 2016
- [c8]Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi:
On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. CSCW 2016: 437-450 - [c7]Parantapa Bhattacharya, Niloy Ganguly:
Characterizing Deleted Tweets and Their Authors. ICWSM 2016: 547-550 - 2015
- [j1]Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh:
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Trans. Web 9(3): 12:1-12:33 (2015) - 2014
- [c6]Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM 2014: 401-410 - [c5]Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi:
Deep Twitter diving: exploring topical groups in microblogs at scale. CSCW 2014: 197-210 - [c4]Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi:
Inferring user interests in the Twitter social network. RecSys 2014: 357-360 - 2013
- [c3]Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi:
On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. CIKM 2013: 1739-1744 - 2012
- [c2]Vijay Mann, Anilkumar Vishnoi, Aakash Iyer, Parantapa Bhattacharya:
VMPatrol: Dynamic and automated QoS for virtual machine migrations. CNSM 2012: 174-178 - [c1]Vijay Mann, Akanksha Gupta, Partha Dutta, Anilkumar Vishnoi, Parantapa Bhattacharya, Rishabh Poddar, Aakash Iyer:
Remedy: Network-Aware Steady State VM Management for Data Centers. Networking (1) 2012: 190-204
Coauthor Index
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