James H. Faghmous

According to our database, James H. Faghmous authored at least 16 papers between 2012 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data.

Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar

IEEE Trans. Knowl. Data Eng., 2017

2016

Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities.

Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar

Proceedings of the Computational Sustainability, 2016

Theory-guided Data Science: A New Paradigm for Scientific Discovery.

Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar

CoRR, 2016

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise.

Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Equitable development through deep learning: The case of sub-national population density estimation.

Patrick Doupe, Emilie Bruzelius, James H. Faghmous, Samuel G. Ruchman

Proceedings of the 7th Annual Symposium on Computing for Development, 2016

2015

Computing and Climate.

James H. Faghmous, Vipin Kumar, Shashi Shekhar

Comput. Sci. Eng., 2015

Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data.

Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping.

Xi C. Chen, Vipin Kumar, James H. Faghmous

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Theory-Guided Data Science for Climate Change.

James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova

Computer, 2014

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science.

James H. Faghmous, Vipin Kumar

Big Data, 2014

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field.

James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics.

James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application.

James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Earth Science Applications of Sensor Data.

Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi C. Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar, Stefan Liess

Proceedings of the Managing and Mining Sensor Data, 2013

2012

EddyScan: A physically consistent ocean eddy monitoring application.

James H. Faghmous, Luke Styles, Varun Mithal, Shyam Boriah, Stefan Liess, Vipin Kumar, Frode Vikebø, Michel dos Santos Mesquita

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring.

James H. Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikebø, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012