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James H. Faghmous
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2010 – 2019
- 2017
- [j4]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): 2318-2331 (2017) - 2016
- [c9]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: 6:1-6:10 - [c8]Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee
A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM 2016: 162-170 - [p2]Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar:
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities. Computational Sustainability 2016: 121-147 - [i1]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 abs/1612.08544 (2016) - 2015
- [j3]James H. Faghmous, Vipin Kumar, Shashi Shekhar:
Computing and Climate. Comput. Sci. Eng. 17(6): 6-8 (2015) - [c7]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: 1536-1537 - [c6]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: 2575-2581 - 2014
- [j2]James H. Faghmous, Vipin Kumar:
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science. Big Data 2(3): 155-163 (2014) - [j1]James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach
Theory-Guided Data Science for Climate Change. Computer 47(11): 74-78 (2014) - [c5]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: 410-416 - 2013
- [c4]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: 1277-1283 - [c3]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: 151-160 - [p1]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
Earth Science Applications of Sensor Data. Managing and Mining Sensor Data 2013: 505-530 - 2012
- [c2]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: 281-287 - [c1]James H. Faghmous, Luke Styles, Varun Mithal, Shyam Boriah, Stefan Liess
EddyScan: A physically consistent ocean eddy monitoring application. CIDU 2012: 96-103
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