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PAPER AWARDS

Congratulations to the winner of the MACLEAN BEST PAPER AWARD sponsored by ESA (European Space Agency) and AFRIF (The French Association of Pattern Recognition and Interpretation).

Edoardo Arnaudo; Luca Barco; Matteo Merlo; Claudio Rossi. "Robust Burned Area Delineation through Multitask Learning"

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FULL PROGRAM - Monday, September 18/09/2023 (MORNING SESSION)

09:00 - 09:15 Welcome

09:15 - 10:00 Invited Talk 1: Jonas Elm, Aarhus University, Machine Learning Approaches for Studying Atmospheric Molecular Cluster Formation

10:00 - 10:45 Session 1

• Low-rank hierarchical clustering of PRISMA hyperspectral images to identify burned areas

Gaetano Settembre (Department of Mathematics, University of Bari Aldo Moro); Nicolò Taggio (Planetek Italia S.r.l.); Nicoletta Del Buono (Department of Mathematics, University of Bari Aldo Moro); Antonello Aiello (Planetek Italia S.r.l.); Flavia Esposito (Department of Mathematics, University of Bari Aldo Moro)

• Robust Burned Area Delineation through Multitask Learning

Edoardo Arnaudo (Politecnico di Torino); Luca Barco (LINKS Foundation); Matteo Merlo (Politecnico di Torino); Claudio Rossi (LINKS Foundation)

• Burnt area extraction from high-resolution satellite images based on anomaly detection

Oscar David Rafael Narvaez Luces (IRISA-UBS); Minh-Tan Pham (IRISA-UBS); Quentin Poterek (ICube-SERTIT, Université de Strasbourg); Rémi Braun (ICube-SERTIT, Université de Strasbourg)

10:45 - 11:00 Coffee Break

11:00 - 11:45 Invited Talk 2: Gabriele Moser, University of Genoa, Fully unsupervised heterogeneous change detection with multitemporal remote sensing imagery

11:45 - 12:30 Session 2

• Next day fire prediction via semantic segmentation

Konstantinos Alexis (IMSI/Athena Research Center); Stella Girtsou (National Observatory of Athens); Alex Apostolakis (National Observatory of Athens); Giorgos Giannopoulos (Athena RC); Charalampos Kontoes (National Observatory of Athens)

• Detection and semantic description of changes in Earth Observation Time Series data

Daniela Fernanda MILON FLORES (Université Grenoble Alpes)

• Seasonal average temperature forecast with the AutoGluonTS modern autoML tool

Gerardo Rubino (INRIA); Diego Kandinski (UDELAR); Pablo Rodríguez-Bocca (UDELAR)

12:30 Award Annoucement and Closing