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ORCIDMACLEAN@PKDD/ECML 2020: Virtual Event
- Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020. CEUR Workshop Proceedings 2766, CEUR-WS.org 2020
Session 1: Semi-Supervised and (Inter)active Learning
- Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais:
Interactive Learning for Semantic Segmentation in Earth Observation. - Vít Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Deep Active Learning in Remote Sensing for data efficient Change Detection. - Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sébastien Lefèvre:
On Auxiliary Losses for Semi-Supervised Semantic Segmentation.
Session 2: Physical event characterization
- Yousef Razeghi, Wilhelm Hasselbring, Christian Berndt, Ines Dumke:
Comparing Machine Learning Methods for Predicting Seismic P-wave Velocity on Global Scale. - Clémentin Boittiaux, Paul Nguyen Hong Duc, Nicolas Longépé, Sara Pensieri, Roberto Bozzano, Dorian Cazau:
Multi-modal deep learning models for ocean wind speed estimation. - Abhijit Mukherjee, Pabitra Mitra:
Joint Learning for Cyclone Track Nowcasting.
Session 3: Multi-spectral and Colorization
- Youssef Mourchid, Marc Donias, Yannick Berthoumieu:
Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images. - Pallavi Jain, Bianca Schoen-Phelan, Robert Ross:
Tri-Band Assessment of Multi-Spectral Satellite Data for Flood Detection. - Estèle Glize, Marie-José Huguet, Gilles Trédan, Marc Lucas, Marion Sutton:
Clustering Sargassum Mats from Earth Observation Data.
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