Earth Observation Data Mining: A use case for Forest Monitoring
Paper in the IEEE Geoscience and Remote Sensing Society (IGARSS) 2019 Conference
Artificial Intelligence Data Science Methodology for Earth Observation
Chapter in Book "Advanced Analytics and Artificial Intelligence Applications", 978-1-78984-639-3, by IntechOpen
Data Science Workflows for the CANDELA Project
Publication in Conference proceedings/Workshop “Big Data from Space” (BiDS’19), Munich, Germany, 19-21 February 2019. ISBN 978-92-76-00034-1 ISSN 1831-9424 doi: 10.2760/848593
Real-time Probabilistic Data Fusion for Large-scale IoT Applications
IEEE Access, vol. PP, no. 99, pp. 1-1. DOI: 10.1109/ACCESS.2018.2804623
Real-time Probabilistic Data Fusion for Large-scale IoT Applications
IEEE Access, vol. PP, no. 99, pp. 1-1. doi: 10.1109/ACCESS.2018.2804623
An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities applications
Future Generation Computer Systems, 2017
Volume 78, Part 2