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


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.

Disasters Neural Networks Linear Programming Convolutional Neural Networks Machine Learning Recurrent Neural Networks Time Series Public Health Natural Language Processing (Nlp) Statistical Models Health Twitter Labeled Data Social Media Semantics Communication Learning Data Storage Equipment Research Supervised Learning Graph Structures Big Data Linguistics Deep Neural Networks Licensure

Most Recent Publications

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

Lior Rokach, Prasenjit Mitra,

Prasenjit Mitra, Xinyuan Zhang, Connor Heaton,

PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents

Nan Zhang, Connor Heaton, Prasenjit Mitra, Sean Okonsky, Hilal Toraman, 2024,

Leonie Von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicholas Tempelmeier, 2024,

Clock Against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation

Shreya Ghosh, Prasenjit Mitra, 2024,

N Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, R Zhang, 2023, on p. 10915--10931

Shreya Ghosh, Prasenjit Mitra, Thomas Muller, Bistra Dilkina, 2023, GeoWildLife 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation on p. III-IV

Info-Wild: Knowledge Extraction and Management for Wildlife Conservation

Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Müller, 2023, on p. 5281-5284

Tulika Saha, Sriparna Saha, Debasis Ganguly, Prasenjit Mitra, 2023, on p. 5290-5293

Catching Lies in the Act: A Framework for Early Misinformation Detection on Social Media

Shreya Ghosh, Prasenjit Mitra, 2023,

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

Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra, Suhang Wang, 2020, on p. 5956-5963

Summarizing situational tweets in crisis scenario

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