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

These publication tags are generated from the output of this researcher. Click any tag below to view other Huck researchers working on the same topic.

Neural Networks Machine Learning Disasters Learning Statistics Linear Programming Convolutional Neural Networks Recurrent Neural Networks Neoplasms Recreational Parks Twitter Health Form Statistical Models Color Game Document Students Survivors Public Health Cancer Survivors Cell Phone Natural Language Processing (Nlp) Neurons Labeled Data

Most Recent Publications

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

Lior Rokach, Prasenjit Mitra,

Adapting Tools of Causality to Analyze the Obesity Paradox

Prasenjit Mitra, Xinyuan Zhang, Connor Heaton,

COVID-19’s impact on visitation behavior to US national parks from communities of color: evidence from mobile phone data

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,

Learning to Describe Player Form in the MLB

Connor Heaton, Prasenjit Mitra, 2022, on p. 93-102

Optimization of 5G Infrastructure Deployment Through Machine Learning

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

Using Machine Learning to Describe how Players Impact the Game in the MLB

Connor Heaton, Prasenjit Mitra, 2022,

Differentiating geographic movement described in text documents

Scott Pezanowski, Alan M. MacEachren, Prasenjit Mitra, 2022, Transactions in GIS

Toward Cleansing Backdoored Neural Networks in Federated Learning

Chen Wu, Xian Yang, Sencun Zhu, Prasenjit Mitra, 2022, on p. 820-830

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

Robust classification of crisis-related data on social networks using convolutional neural networks

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

Damage assessment from social media imagery data during disasters

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

A neural probabilistic model for context based citation recommendation

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

Finding influential users of online health communities: a new metric based on sentiment influence.

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

Understanding topics and sentiment in an online cancer survivor community

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

Transferring robustness for graph neural network against poisoning attacks

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