| 2016 | SDM | 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 |
| 2015 | ICDM | Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping. | Xi C. Chen, Vipin Kumar, James H. Faghmous |
| 2015 | IJCAI | Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data. | Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar |
| 2014 | AAAI | Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. | James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar |
| 2013 | AAAI | 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 |
| 2013 | ICDM | A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. | James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee |
| 2012 | AAAI | A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring. | James H. Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikeb, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar |