Kris Sankaran

• Tackling Climate Change with Machine Learning

  David Rolnick, Priya L Donti et al.

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  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

  Minxing Zheng, Xinran Miao et al.

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  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

  David Rolnick, Priya L Donti et al.

  Incluir item

  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

  Minxing Zheng, Xinran Miao et al.

  Incluir item

  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…

Computer Science (2 obras) · Data science (2 obras) · Machine learning (2 obras) · Air Quality Monitoring and Forecasting (1 obra) · Artificial Intelligence (1 obra) · Artificial Intelligence (1 obra) · Climate change (1 obra) · Data Analysis with R (1 obra) · Data mining (1 obra) · Data visualization (1 obra)