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07/13/2021
A Classification of Artificial Intelligence Systems for Mathematics Education
This chapter provides an overview of the different Artificial Intelligen...
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12/11/2020
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation
Developing accurate models of crop stress, phenology and productivity is...
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12/09/2020
Consistent regression of biophysical parameters with kernel methods
This paper introduces a novel statistical regression framework that allo...
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Causal Inference in Geoscience and Remote Sensing from Observational Data
Establishing causal relations between random variables from observationa...
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12/07/2020
Efficient Nonlinear RX Anomaly Detectors
Current anomaly detection algorithms are typically challenged by either ...
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12/07/2020
Causal Inference in Geosciences with Kernel Sensitivity Maps
Establishing causal relations between random variables from observationa...
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12/07/2020
Randomized kernels for large scale Earth observation applications
Dealing with land cover classification of the new image sources has also...
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10/18/2020
Living in the Physics and Machine Learning Interplay for Earth Observation
Most problems in Earth sciences aim to do inferences about the system, w...
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07/29/2020
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
Kernel methods are powerful machine learning techniques which implement ...
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11/11/2019
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Current adoption of machine learning in industrial, societal and economi...
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10/16/2017
Fair Kernel Learning
New social and economic activities massively exploit big data and machin...
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10/02/2017
Remote Sensing Image Classification with Large Scale Gaussian Processes
Current remote sensing image classification problems have to deal with a...
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11/02/2016