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ORCIDSathappan Muthiah
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Journal Articles
- 2016
[j2]Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
:
Capturing Planned Protests from Open Source Indicators. AI Mag. 37(2): 63-75 (2016)- 2014
- [j1]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:
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. Big Data 2(4): 185-195 (2014)
Conference and Workshop Papers
- 2020
- [c13]Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
Geospatial Clustering for Balanced and Proximal Schools. AAAI 2020: 13358-13365 - 2019
- [c12]Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan:
RumorSleuth: joint detection of rumor veracity and user stance. ASONAM 2019: 131-136 - [c11]Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan:
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. IEEE BigData 2019: 543-552 - [c10]Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan:
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network. CIKM 2019: 1793-1802 - [c9]Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan:
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. IJCAI 2019: 3180-3186 - 2018
- [c8]Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares:
When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM 2018: 77-82 - [c7]Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan:
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM 2018: 1055-1060 - 2016
- [c6]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:
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD 2016: 205-214 - [c5]Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan:
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. KDD 2016: 1095-1104 - 2015
- [c4]Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan:
Planned Protest Modeling in News and Social Media. AAAI 2015: 3920-3927 - [c3]Yue Ning, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan:
Uncovering News-Twitter Reciprocity via Interaction Patterns. ASONAM 2015: 1-8 - 2014
- [c2]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:
The EMBERS architecture for streaming predictive analytics. IEEE BigData 2014: 11-13 - [c1]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:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808
Informal and Other Publications
- 2022
- [i8]Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan:
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions. CoRR abs/2207.04029 (2022) - [i7]Debanjan Datta, Sathappan Muthiah, John Simeone, Amelia Meadows, Naren Ramakrishnan:
Scrutinizing Shipment Records To Thwart Illegal Timber Trade. CoRR abs/2208.00493 (2022) - 2021
- [i6]Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan:
Detecting Anomalies Through Contrast in Heterogeneous Data. CoRR abs/2104.01156 (2021) - [i5]Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan:
Using AntiPatterns to avoid MLOps Mistakes. CoRR abs/2107.00079 (2021) - 2016
- [i4]Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan:
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. CoRR abs/1602.08033 (2016) - [i3]Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan:
Hierarchical Quickest Change Detection via Surrogates. CoRR abs/1603.09739 (2016) - [i2]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 Gupta, David Mares, Naren Ramakrishnan:
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. CoRR abs/1604.00033 (2016) - 2014
- [i1]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:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014)
Coauthor Index
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