Rupinder Paul Khandpur

According to our database, Rupinder Paul Khandpur authored at least 11 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Identifying Corporate Credit Risk Sentiments from Financial News.

Noujoud Ahbali, Xinyuan Liu, Albert Nanda, Jamie Stark, Ashit Talukder, Rupinder Paul Khandpur

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

2021

Adverse Media Mining for KYC and ESG Compliance.

Rupinder Paul Khandpur, Albert Aristotle Nanda, Mathew Davis, Chen Li, Daulet Nurmanbetov, Sankalp Gaur, Ashit Talukder

CoRR, 2021

2018

Augmenting Dynamic Query Expansion in Microblog Texts.

Rupinder Paul Khandpur

PhD thesis, 2018

2017

Absenteeism Detection in Social Media.

Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media.

Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Determining Relative Airport Threats from News and Social Media.

Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.

Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.

Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao, Chang-Tien Lu, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan

Big Data, 2014

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.

Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Modeling mass protest adoption in social network communities using geometric brownian motion.

Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

The EMBERS architecture for streaming predictive analytics.

Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014