James H. Faghmous

Publication Activity (10 Years)

Years Active: 2012-2017
Publications (10 Years): 4

Top Topics

Multiple Hypothesis

Temporal Pattern Mining

Top Venues

Publications

Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29 (10) (2017)
Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous
A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM (2016)
Patrick Doupe, Emilie Bruzelius, James H. Faghmous, Samuel G. Ruchman
Equitable development through deep learning: The case of sub-national population density estimation. ACM DEV (2016)
Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR (2016)
Xi C. Chen, Vipin Kumar, James H. Faghmous
Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping. ICDM Workshops (2015)
James H. Faghmous, Vipin Kumar, Shashi Shekhar
Computing and Climate. Comput. Sci. Eng. 17 (6) (2015)
Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar
Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data. IJCAI (2015)
James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
Theory-Guided Data Science for Climate Change. Computer 47 (11) (2014)
James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. AAAI (2014)
James H. Faghmous, Vipin Kumar
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science. Big Data 2 (3) (2014)
James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar
Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. AAAI (2013)
James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee
A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. ICDM (2013)
James H. Faghmous, Luke Styles, Varun Mithal, Shyam Boriah, Stefan Liess, Vipin Kumar, Frode Vikebø, Michel dos Santos Mesquita
EddyScan: A physically consistent ocean eddy monitoring application. CIDU (2012)
James H. Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikebø, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring. AAAI (2012)