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.

Huck Affiliations

Links

Publication Tags

Neural Networks Machine Learning Food Twitter Disasters Emotion Learning Statistics Linear Programming Natural Language Processing (Nlp) Pandemics Convolutional Neural Networks Food Supply Recreational Parks Form Color Game Optimization Statistical Models Neoplasms Health Students Labeled Data Cell Phone Survivors

Most Recent Publications

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

Lior Rokach, Prasenjit Mitra,

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

Living Documents: Designing for User Agency over Automated Text Summarization

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

Erforschung von Bewegungsbeschreibungen durch geovisuelle Analytik

Scott Pezanowski, Prasenjit Mitra, Alan M. MacEachren, 2022, KN - Journal of Cartography and Geographic Information on p. 5-27

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

Exploring Descriptions of Movement Through Geovisual Analytics

Scott Pezanowski, Prasenjit Mitra, Alan Maceachren, 2022, KN - Journal of Cartography and Geographic Information on p. 55

Food insufficiency and Twitter emotions during a pandemic

Stephan J. Goetz, Connor Heaton, Muhammad Imran, Yuxuan Pan, Zheng Tian, Claudia Schmidt, Umair Qazi, Ferda Ofli, Prasenjit Mitra, 2022, Review of Agricultural Economics

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

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

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

Damage assessment from social media imagery data during disasters

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

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