Prasenjit Mitra

Professor of Data Sciences

Prasenjit Mitra

Research Summary

Artificial intelligence, applied machine learning, natural language processing, big data analytics, and visual analytics especially in application areas such as medical informatics, wildlife informatics, sports analytics, etc.

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Publication Tags

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Disasters Health Neural Networks Public Health Therapeutics Linear Programming Convolutional Neural Networks Machine Learning Communication Social Media Cell Phone Survivors Cancer Survivors Natural Language Processing (Nlp) Statistical Models Recreational Parks Color Labeled Data Neoplasms Twitter Students Recurrent Neural Networks Datasets Learning Semantics

Most Recent Publications

Prasenjit Mitra, Xinyuan Zhang, Connor Heaton,

Parsimonious Citer-Based Measures: Artificial Intelligence Domain as a Case Study

Lior Rokach, Prasenjit Mitra,

Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang, 2023, IEEE Journal of Biomedical and Health Informatics on p. 3645-3656

Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models

Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra, 2023, on p. 16318-16319

Sanjana Gautam, Mahir Akgun, Prasenjit Mitra, 2023, on p. 1338

A Fast Indoor Coverage Prediction Scheme at 60 GHz Based on Image Processing, Geometrical Optics, and Transport Theory

Ziheng Fu, Swagato Mukherjee, Michael T. Lanagan, Prasenjit Mitra, Tarun Chawla, Ram Mohan Narayanan, 2023, on p. 1231-1232

CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories

Nils Henke, Shimon Wonsak, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier, 2023, on p. 79-91

Charles Alba, Bing Pan, Junjun Yin, William L. Rice, Prasenjit Mitra, Michael S. Lin, Yun Liang, 2022, Scientific Reports

Optimization of 5G Infrastructure Deployment through Machine Learning

Ziheng Fu, Swagato Mukherjee, Michael Lanagan, Prasenjit Mitra, Tarun Chawla, Ram Narayanan, 2022, on p. 1684-1685

Living Documents: Designing for User Agency over Automated Text Summarization

Iyadunni J. Adenuga, Benjamin V. Hanrahan, Chen Wu, Prasenjit Mitra, 2022,

Most-Cited Papers

Detecting rumors from microblogs with recurrent neural networks

Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam Fai Wong, Meeyoung Cha, 2016, IJCAI International Joint Conference on Artificial Intelligence on p. 3818-3824

Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages

Muhammad Imran, Prasenjit Mitra, Carlos Castillo, 2016, on p. 1638-1643

Damage assessment from social media imagery data during disasters

Dat T. Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra, 2017, on p. 569-576

Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra, 2017, on p. 632-635

Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, C. Lee Giles, 2015, on p. 2404-2410

Multi-document abstractive summarization using ILP based multi-sentence compression

Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama, 2015, on p. 1208-1214

Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang, 2020, on p. 600-608

Kang Zhao, John Yen, Greta Greer, Baojun Qiu, Prasenjit Mitra, Kenneth Portier, 2014, Journal of the American Medical Informatics Association : JAMIA on p. e212-218

Kenneth Portier, Greta E. Greer, Lior Rokach, Nir Ofek, Yafei Wang, Prakhar Biyani, Mo Yu, Siddhartha Banerjee, Kang Zhao, Prasenjit Mitra, John Yen, 2013, NCI Monographs on p. 195-198

Summarizing situational tweets in crisis scenario

Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra, 2016, on p. 137-147