Prasenjit Mitra
Professor of Data Sciences

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413E Eric J. Barron Innovation Hub
State College, PA - He/Him/His
- pum10@psu.edu
- 814-865-2379
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 SurvivorsMost 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