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20112021
most citedTheory-guided Data Science: A New Paradigm for Scientific Discovery from Data

1.7k citations · 2.4k across the 28 of their papers we have counts for

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Showing 2017 · cs.LGShow all

5 papers · 2 filters

cs.LG2017★ 1 cited

Discovery of Shifting Patterns in Sequence Classification

Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne +1

In this paper, we investigate the multi-variate sequence classification problem from a multi-instance learning perspective. Real-world sequential data commonly show discriminative…

cs.LG2017★ 86 cited

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

Gowtham Atluri, Anuj Karpatne, Vipin Kumar

Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportat…

cs.LG2017

ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring

Ankush Khandelwal, Anuj Karpatne, Vipin Kumar

Many earth science applications require data at both high spatial and temporal resolution for effective monitoring of various ecosystem resources. Due to practical limitations in s…

cs.LG2017

Machine Learning for the Geosciences: Challenges and Opportunities

Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2

Geosciences is a field of great societal relevance that requires solutions to several urgent problems facing our humanity and the planet. As geosciences enters the era of big data,…

cs.LG2017★ 311 cited

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

Arka Daw, Anuj Karpatne, William Watkins +2

This paper introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. This framework, termed physics-gu…