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Machine Learning for the Geosciences: Challenges and Opportunities

Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring

Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar: Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in CroplandMonitoring. IJCAI 2019: 2628-2634

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection

Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak , Anuj Karpatne, Vipin Kumar: Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land CoverDetection. SDM 2019: 513-521

Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection

Xiaowei Jia, Guruprasad Nayak , Ankush Khandelwal, Anuj Karpatne, Vipin Kumar: Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in LandCover Detection. SDM 2019: 540-548

Jiaying Gong

Jiaying Gong was a Ph.D. student in the Department of Computer Science. Her advisor was Hoda Eldardiry. Gong’s research focuses on multisource machine learning and natural language processing.

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar: Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating LakeTemperature Profiles. SDM 2019: 558-566

Spatio-Temporal Data Mining: A Survey of Problems and Methods

Mining Sub-Interval Relationships In Time Series Data

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series