Vol-1971⫷ Vol-1972 ⫸Vol-1973
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
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