引用次数
引用: 5,719
H-指数: 38
I10-指数 : 80
出版物: 243
A study of links between the Arctic and the midlatitude jet stream using Granger and Pearl causality
S. M. Samarasinghe , M. C. McGraw , E. A. Barnes , I. Ebert‐Uphoff
Environmetrics 30 ( 4)
15
2019
Efficient workspace generation for binary manipulators with many actuators
Imme Ebert-uphoff , Gregory S. Chirikjian
Journal of Robotic Systems 12 ( 6) 383 -400
58
1995
Artificial Intelligence for the Earth Systems
AMY MCGOVERN , JOHN T ALLEN , WILLIAM F CAMPBELL , SCOTT M COLLIS
2022
Ensemble consistency testing using causal connectivity
Dorit Hammerling , AH Baker , I Ebert‐Uphoff
Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018). https://www. engr. colostate. edu/\~ iebert/PAPERS/CI2018_paper_23. pdf
2
2018
A study of links between the Arctic and the midlatitude jet stream using Granger and Pearl causality
SM Samarasinghe , MC McGraw , EA Barnes , I Ebert‐Uphoff
Environmetrics
39
2018
A Probability-Based Approach to Soft Discretization for Bayesian Networks
Imme Ebert-Uphoff
Georgia Institute of Technology
12
2009
Tutorial on How to Measure Link Strengths in Discrete Bayesian Networks
Imme Ebert-Uphoff
Georgia Institute of Technology
10
2009
Statically Stable Assembly Sequence Generation for Many Identical Blocks
Imme Ebert-Uphoff , Sebastien Jean Wolff , Harvey Lipkin
Georgia Institute of Technology
2007
Causal Discovery Methods for Climate Networks
Imme Ebert-Uphoff , Yi Deng
Georgia Institute of Technology
1
2010
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne , Imme Ebert-Uphoff , Sai Ravela , Hassan Ali Babaie
arXiv: Learning
308
2017
Use of Machine Learning and Causal Discovery to Advance Knowledge in the Atmospheric Sciences: Methods, Limitations, and Trade-Offs II Posters
Imme Ebert-Uphoff , Christiane Jablonowski , Benjamin Brown-Steiner
AGU Fall Meeting 2019
2019
Emerging Data Science and Machine Learning Opportunities in the Weather and Climate Sciences
Anuj Karpatne , Imme Ebert-Uphoff , Karthik Kashinath , Joshua Hacker
AGU Fall Meeting 2018
2018
Educating the Next Generation of Scientists: Interdisciplinary Education Bridging Geoscience and Data Science II Posters
Imme Ebert-Uphoff , Deana D Pennington , Suzanne A Pierce , Natalie Freed
AGU Fall Meeting 2018
2018
Using Physically Interpretable Neural Networks to Discover Modes of Climate and Weather Variability
Imme Ebert-Uphoff , Elizabeth A. Barnes , Benjamin A. Toms
100th American Meteorological Society Annual Meeting
2020
Kinematic Study of a New Type of Spatial Parallel Platform Mechanism
Imme Ebert-Uphoff , Clément M. Gosselin
ASME 1998 Design Engineering Technical Conferences
14
1998
Static Balancing of a Class of Spatial Parallel Platform Mechanisms
Imme Ebert-Uphoff , Clément M. Gosselin , Thierry Laliberté
ASME 1998 Design Engineering Technical Conferences
4
1998
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset.
Imme Ebert-Uphoff , Elizabeth A. Barnes , Antonios Mamalakis
arXiv: Geophysics
31
2021
A VISION FOR THE DEVELOPMENT OF BENCHMARKS TO BRIDGE GEOSCIENCE AND DATA SCIENCE
Anuj Karpatne , Imme Ebert-Uphoff , Padhraic Smyth , Vipin Kumar
international workshop climate informatics
5
2017
Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data
Christian D. Kummerow , Christian D. Kummerow , Imme Ebert-Uphoff , Imme Ebert-Uphoff
Atmospheric Measurement Techniques 14 ( 4) 2699 -2716
2021
Topological Data Analysis for Identifying Convection in GOES-R Imagery
Imme Ebert-Uphoff , Henry Adams , Emily King , Yoonjin Lee
101st American Meteorological Society Annual Meeting
2021