Karsten Steinhaeuser | Researchain

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Publication

Featured researches published by Karsten Steinhaeuser.

Archive | 2017

Statistical Downscaling in Climate with State-of-the-Art Scalable Machine Learning

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Deep Learning for Very High-Resolution Imagery Classification

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Large-Scale Machine Learning for Species Distributions

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Unmixing Algorithms: A Review of Techniques for Spectral Detection and Classification of Land Cover from Mixed Pixels on NASA Earth Exchange

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Spatiotemporal Global Climate Model Tracking

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Using Large-Scale Machine Learning to Improve Our Understanding of the Formation of Tornadoes

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Network Science Perspectives on Engineering Adaptation to Climate Change and Weather Extremes

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Large-Scale Machine Learning in the Earth Sciences

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Semantic Interoperability of Long-Tail Geoscience Resources over the Web

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

Archive | 2017

Structured Estimation in High Dimensions: Applications in Climate

Ashok N. Srivastava; Ramakrishna R. Nemani; Karsten Steinhaeuser

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Collaboration

Dive into the Karsten Steinhaeuser's collaboration.

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Archive Network Publication Hotspot Collaboration

Network

Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot

Dive into the research topics where Karsten Steinhaeuser is active.

Publication

Featured researches published by Karsten Steinhaeuser.

Statistical Downscaling in Climate with State-of-the-Art Scalable Machine Learning

Deep Learning for Very High-Resolution Imagery Classification

Large-Scale Machine Learning for Species Distributions

Unmixing Algorithms: A Review of Techniques for Spectral Detection and Classification of Land Cover from Mixed Pixels on NASA Earth Exchange

Spatiotemporal Global Climate Model Tracking

Using Large-Scale Machine Learning to Improve Our Understanding of the Formation of Tornadoes

Network Science Perspectives on Engineering Adaptation to Climate Change and Weather Extremes

Large-Scale Machine Learning in the Earth Sciences

Semantic Interoperability of Long-Tail Geoscience Resources over the Web

Structured Estimation in High Dimensions: Applications in Climate

Collaboration

Dive into the Karsten Steinhaeuser's collaboration.