Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”

In particular, synthetic aperture radar missions have made substantial progress, with the arrival of the Sentinel-1 constellation from the European Copernicus program, the

The conference topics include Monte Carlo methods and principles; pseudorandom number generators; low- discrepancy point sets and sequences in various spaces; quasi-Monte Carlo

In 2004, he joined as a Permanent Researcher French National Institute for Scientific Research (CNRS), Rennes, France, working on the analysis of remote sensing image sequences

tslearn is a general-purpose Python machine learning library for time series that offers tools for pre-processing and feature extraction as well as dedicated models for

This special issue contains 9 papers that cover several important aspects of photometric analysis, ranging from color analysis, shading, illumination, material reflectance, to

Machine Learning in Image Processing, Special issue of the EURASIP Journal on Advances in Signal Processing.. Olivier Lezoray, Christophe Charrier, Hubert Cardot,

Garbin E., Mani I., “Disambiguating Toponyms in News”, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Pro-

CBDCom 2016 has been organized into 11 tracks: Big Data Algorithms, Applications and Services (co-chaired by Boualem Benatallah, University of New SouthWales, Australia