Tudor Suciu

Name:	Tudor Suciu
Affiliation:	AI4ER Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	15 Jan 2023, 1:52 p.m.

Public lists managed by Tudor Suciu

Talks given by Tudor Suciu

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 Tudor Suciu

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Tudor Suciu actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Lessons from IceNet: Input variable importance, hyperparameter tuning, and probability calibration
• Wildfire Smoke Plume Segmentation Using Geostationary Satellite Imagery
• Can machine learning help us track carbon dynamics in tropical forests?
• Whales from space: Using very high resolution satellite images to study whales
• A Whirlwind tour of Gaussian process models and applications
• Nature risk, restoration and capital allocation: How using data, ML & AI to understand and measure the value of natural capital for investors can positively influence the world around us - at scale
• Scaling land-atmosphere fluxes from sites to globe: Overview and synthesis of the FLUXCOM approach
• Machine Learning for Weather Prediction
• Methods for dealing with sparse and incomplete environmental datasets
• Probabilistic machine learning as an algorithmic interface to weather model and environmental data
• Stochastic Downscaling for Convective Regimes with Gaussian Random Fields
• Interpreting data-driven forecast systems - do they behave in physically sensible ways?
• CDT Team Challenge
• Using ensemble meteorological datasets to overcome limitations in a Bayesian volcanic ash inverse modelling system
• Applications of Generative Adversarial Networks in Environmental Data Science
• Quantifying Increased Occupational Heat Exposure of Rice Harvest Workers due to Climate Change
• Inferring causation from time series with perspectives in Earth system sciences
• Machine Learning for Stochastic Parametrisation
• Breakthrough Credit and Insurance for Farmers using Remote Sensing and AI
• Understanding the effects of traffic light signal time changes on air pollution – an in-depth study in London
• DeepBedMap: A Super-Resolution Generative Adversarial Network for resolving the bed topography of Antarctica
• Unsupervised Iceberg Detection in Satellite Images Using Recurrent Principal Component Analysis