24 citations · 120 across the 27 of their papers we have counts for
3 papers · 1 filter
Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O'Neill +4
Echo-sounder data registered by buoys attached to drifting FADs provide a very valuable source of information on populations of tuna and their behaviour. This value increases whent…
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
Víctor Gallego
The rampant adoption of ML methodologies has revealed that models are usually adopted to make decisions without taking into account the uncertainties in their predictions. More cri…
Data sharing games
Víctor Gallego, Roi Naveiro, David Ríos Insua +1
Data sharing issues pervade online social and economic environments. To foster social progress, it is important to develop models of the interaction between data producers and cons…