European Planetary Science Congress 2018
16–21 September 2018
TU Berlin | Berlin | Germany

Oral programme MD2/MTI4/LFI4

MD2/MTI4/LFI4

Machine Learning for Planetary Science in times of increasing data volume and complexity (co-organized)
Convener: Mario D'Amore  | Co-conveners: Stéphane Erard , Jörn Helbert 
Oral programme
 / Wed, 19 Sep, 08:30–10:00  / Room Neptune
Poster programme
 / Attendance Tue, 18 Sep, 18:15–20:00  / Display Tue, 18 Sep, 08:00–20:00  / Poster area

Wednesday, 19 September 2018
Room Neptune
08:30–08:45
EPSC2018-679
Automated detection of planetary craters: open and reproducible benchmark platform for the Martian surface
Joris Van den Bossche, Alexandre Boucaud, Frédéric Schmidt, Guillaume Lemaitre, Anthony Lagain, Alina Meresescu, and Balazc Kégl
08:45–09:00
EPSC2018-798
Deep Learning-Based Anomaly Detection to Find Changes over the Martian South Pole
Alfiah Rizky Diana Putri, Panagiotis Sidiropoulos, and Jan-Peter Muller
09:00–09:15
EPSC2018-829
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
Athanasia Nikolaou, Pedro Antonio Gutiérrez, Antonio Durán Rosal, Francisco Fernández-Navarro, César Hervás-Martínez, and Maria Pérez-Ortiz
09:15–09:30
EPSC2018-844
Advanced Techniques for Signal Search and Automatic Classification of Observational Space Data
Tarek Al-Ubaidi, Maxim Khodachenko, Roman Kern, Michael Granitzer, and Stefaan Poedts
09:30–09:45
EPSC2018-1089
Detection of sub-km craters on Mars for equilibrium population statistics
Alistair Francis, Jan-Peter Muller, Panagiotis Sidiropoulos, and Divya Persaud
09:45–10:00
EPSC2018-738
Semi-automated surface mapping via unsupervised classification Mercury’S Visible–Near-Infrared reflectance spectra
Mario D'Amore, Jörn Helbert, Alessandro Maturilli, and Indhu Varatharajan