James H. Faghmous

According to our database1, James H. Faghmous authored at least 16 papers between 2012 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data.
IEEE Trans. Knowl. Data Eng., 2017

2016
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities.
Proceedings of the Computational Sustainability, 2016

Theory-guided Data Science: A New Paradigm for Scientific Discovery.
CoRR, 2016

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Equitable development through deep learning: The case of sub-national population density estimation.
Proceedings of the 7th Annual Symposium on Computing for Development, 2016

2015
Computing and Climate.
Comput. Sci. Eng., 2015

Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data.
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.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Theory-Guided Data Science for Climate Change.
Computer, 2014

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science.
Big Data, 2014

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field.
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.
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.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Earth Science Applications of Sensor Data.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
EddyScan: A physically consistent ocean eddy monitoring application.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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