Sathappan Muthiah

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 19

Top Topics

Weather Forecasting

Predictive Analytics

Joint Detection

Top Venues

Publications

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 (2022)
Debanjan Datta, Sathappan Muthiah, John Simeone, Amelia Meadows, Naren Ramakrishnan
Scrutinizing Shipment Records To Thwart Illegal Timber Trade. CoRR (2022)
Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
Detecting Anomalies Through Contrast in Heterogeneous Data. CoRR (2021)
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 (2021)
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)
Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. IJCAI (2019)
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)
Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
RumorSleuth: joint detection of rumor veracity and user stance. ASONAM (2019)
Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
: Predicting User Actions in Social Network using Graph Augmented Neural Network. CIKM (2019)
Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares
When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM (2018)
Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM (2018)
Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. KDD (2016)
Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. CoRR (2016)
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) (2016)
Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan
Hierarchical Quickest Change Detection via Surrogates. CoRR (2016)
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)
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 (2016)
Yue Ning, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan
Uncovering News-Twitter Reciprocity via Interaction Patterns. ASONAM (2015)
Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
Planned Protest Modeling in News and Social Media. AAAI (2015)
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)
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 (2014)
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) (2014)
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)