Sathappan Muthiah

According to our database, Sathappan Muthiah authored at least 20 papers between 2014 and 2022.

Collaborative distances:

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

2022

Scrutinizing Shipment Records To Thwart Illegal Timber Trade.

Debanjan Datta, Sathappan Muthiah, John Simeone, Amelia Meadows, Naren Ramakrishnan

CoRR, 2022

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions.

Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan

CoRR, 2022

2021

Using AntiPatterns to avoid MLOps Mistakes.

Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan

CoRR, 2021

Detecting Anomalies Through Contrast in Heterogeneous Data.

Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan

CoRR, 2021

2020

Geospatial Clustering for Balanced and Proximal Schools.

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems.

Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

<i>NActSeer</i>: Predicting User Actions in Social Network using Graph Augmented Neural Network.

Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach.

Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

RumorSleuth: joint detection of rumor veracity and user stance.

Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

DeepDiffuse: Predicting the 'Who' and 'When' in Cascades.

Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Data Mining, 2018

When do Crowds Turn Violent? Uncovering Triggers from Media.

Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2016

Hierarchical Quickest Change Detection via Surrogates.

Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan

CoRR, 2016

Capturing Planned Protests from Open Source Indicators.

Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan

AI Mag., 2016

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning.

Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan

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

2015

Uncovering News-Twitter Reciprocity via Interaction Patterns.

Yue Ning, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Planned Protest Modeling in News and Social Media.

Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

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

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