Kris Sankaran
Biographic Data
| ID | 9968024 |
|---|---|
| NAME | Kris Sankaran |
| GIVEN NAMES | Kris |
| FAMILY NAME | Sankaran |
| SIGNATURE | SANKARAN K |
| AFFILIATIONS | University of Wisconsin–Madison |
| ORCID | 0000-0002-9415-1971 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by ML, in collaboration with other fields. Our recommendations encompass …
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
Interpretability has attracted increasing attention in earth observation problems. We apply interactive visualization and representation analysis to guide the interpretation of glacier segmentation models. We visualize the activations from a U-Net to understand and evaluate the model performance. We built an online interface using the Shiny R package to provide comprehensive error analysis of the predictions. Users can interact with the panels an…
No prominent works on this page.
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
Interpretability has attracted increasing attention in earth observation problems. We apply interactive visualization and representation analysis to guide the interpretation of glacier segmentation models. We visualize the activations from a U-Net to understand and evaluate the model performance. We built an online interface using the Shiny R package to provide comprehensive error analysis of the predictions. Users can interact with the panels an…
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by ML, in collaboration with other fields. Our recommendations encompass …
Computer Science (2 works) · Data science (2 works) · Machine learning (2 works) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Climate change (1 work) · Data Analysis with R (1 work) · Data mining (1 work) · Data visualization (1 work)