| Inferring user interests in the twitter social network P Bhattacharya, MB Zafar, N Ganguly, S Ghosh, KP Gummadi Proceedings of the 8th ACM Conference on Recommender systems, 357-360, 2014 | 115 | 2014 |
| Remedy: Network-aware steady state VM management for data centers V Mann, A Gupta, P Dutta, A Vishnoi, P Bhattacharya, R Poddar, A Iyer International Conference on Research in Networking, 190-204, 2012 | 99 | 2012 |
| On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream S Ghosh, MB Zafar, P Bhattacharya, N Sharma, N Ganguly, K Gummadi Proceedings of the 22nd ACM international conference on Information …, 2013 | 67 | 2013 |
| Deep twitter diving: Exploring topical groups in microblogs at scale P Bhattacharya, S Ghosh, J Kulshrestha, M Mondal, MB Zafar, N Ganguly, ... Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014 | 48 | 2014 |
| Learning a linear influence model from transient opinion dynamics A De, S Bhattacharya, P Bhattacharya, N Ganguly, S Chakrabarti Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 47 | 2014 |
| Sampling content from online social networks: Comparing random vs. expert sampling of the twitter stream MB Zafar, P Bhattacharya, N Ganguly, KP Gummadi, S Ghosh ACM Transactions on the Web (TWEB) 9 (3), 1-33, 2015 | 39 | 2015 |
| Vmpatrol: Dynamic and automated qos for virtual machine migrations V Mann, A Vishnoi, A Iyer, P Bhattacharya 2012 8th international conference on network and service management (cnsm …, 2012 | 29 | 2012 |
| Characterizing deleted tweets and their authors P Bhattacharya, N Ganguly Proceedings of the International AAAI Conference on Web and Social Media 10 (1), 2016 | 13 | 2016 |
| On the wisdom of experts vs. crowds: Discovering trustworthy topical news in microblogs MB Zafar, P Bhattacharya, N Ganguly, S Ghosh, KP Gummadi Proceedings of the 19th ACM Conference on Computer-Supported Cooperative …, 2016 | 13 | 2016 |
| Analytical framework for measuring network security using exploit dependency graph P Bhattacharya, SK Ghosh IET Information Security 6 (4), 264-270, 2012 | 8 | 2012 |
| Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics A De, S Bhattacharya, P Bhattacharya, N Ganguly, S Chakrabarti ACM Transactions on the Web (TWEB) 13 (3), 1-33, 2019 | 2 | 2019 |
| The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations P Bhattacharya, S Ekanayake, CJ Kuhlman, C Lebiere, D Morrison, ... Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 2 | 2019 |
| Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models N Mangaokar, J Pu, P Bhattacharya, CK Reddy, B Viswanath 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 139-157, 2020 | | 2020 |
| From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance AS Peddireddy, D Xie, P Patil, ML Wilson, D Machi, S Venkatramanan, ... medRxiv, 2020 | | 2020 |
| An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study P Sambaturu, P Bhattacharya, J Chen, B Lewis, M Marathe, ... JMIR public health and surveillance 6 (3), e12842, 2020 | | 2020 |
| Characterizing Twitter Users for Building Social Systems P Bhattacharya IIT, Kharagpur, 2017 | | 2017 |
| Learning a linear influence model between actors from transient opinion dynamics A De, S Bhattacharya, P Bhattacharya, N Ganguly, S Chakrabarti | | 2014 |
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurVerified email at cse.iitkgp.ac.in
