Jonathan Rosser
| Name: | Jonathan Rosser |
| Affiliation: | University of Cambridge |
| E-mail: | (only provided to users who are logged into talks.cam) |
| Last login: | 7 Oct 2022, 1:17 p.m. |
Public lists managed by Jonathan Rosser
Talks given by Jonathan Rosser
Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.
Talks organised by Jonathan Rosser
This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Jonathan Rosser actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.
- Robust Spatial Temporal Forecasting
- Better use of climate models with data science?
- Reducing emission-driven ozone uncertainties in climate and air-quality models using machine learning
- Using a GLM with spatial random effects to model fractures in antarctic iceshelves
- How can data science help us do better environmental science?
- Using Self-Organising Maps to understand non-linear cloud-circulation couplings
- Machine learning at the Met Office
- VEdge_Detector: A tool for automated coastal vegetation edge detection using very deep convolutional neural networks
- VEdge_Detector: A tool for automated coastal vegetation edge detection using very deep convolutional neural networks
- Viewing Climate Signals through an AI Lens
- Probabilistic Machine Learning for East US Storm Surges
- Sustainable finance, TCFD (Taskforce on Climate-related Financial Disclosures) and data challenges / opportunities
- How to get rid of carbon dioxide and make sure it does not pop back out
- Using Deep Learning to Count Albatrosses from Space
- Harvesting the Sun: using AI to design better materials for energy
- Assessing teleconnection pathways with causal inference techniques
- Monitoring the world's volcanoes from space
- Title to be confirmed
- Developing data-driven models to emulate GCM’s
- CEDSG-AI4ER Group Round Table
- Understanding uncertainty via statistical analysis of a global aerosol model
- Unsupervised Classification of Convective Organisation with Deep Learning
- Designing Research for Sustainability
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