Vol-1972
urn:nbn:de:0074-1972-6

Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

ECML-PKDD-DCs 2017
ECML/PKDD 2017 Discovery Challenges

Proceedings of the ECML/PKDD Discovery Challenges
co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database (ECML PKDD 2017)

Skopje, Macedonia, September 18, 2017.

Edited by

Roberto Corizzo *
Dino Ienco **

* University of Bari Aldo Moro, Department of Computer Science, 70125 Bari, Italy
** IRSTEA - UMR TETIS, 500, Rue Jean François Breton, 34000 Montpellier, France

Table of Contents

Preface

Discovery Challenge 1: Multi-Plant Photovoltaic Energy Forecasting Challenge

Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution
Cléement Gautrais, Yann Dauxais, Mäel Guilleme
Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting
Youssef Hmamouche, Piotr Przymus, Lotfi Lakhal, Alain Casali
Multi-Plant Photovoltaic Energy Forecasting Challenge with Regression Tree Ensembles and Hourly Average Forecasts
Kathrin Bujna, Martin Wistuba

Discovery Challenge 2: Time Series Land Cover Classification Challenge (TiSeLaC)

End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification
Nicola Di Mauro, Antonio Vergari, Teresa M.A. Basile, Fabrizio G. Ventola, Floriana Esposito
Temporal and spatial approaches for land cover classification
Ryabukhin Sergey

2017-10-27: submitted by Dino Ienco, metadata incl. bibliographic data published under Creative Commons CC0
2017-10-28: published on CEUR-WS.org |valid HTML5|