Special Issue of the Discovery Science 2016

Guest Editors: Toon Calders, Michelangelo Ceci

Journal

Machine Learning is an international forum focusing on computational approaches to learning.

Showing 1-9 of 9 articles

Introduction to the special issue on discovery science
Michelangelo Ceci
Toon Calders
EditorialNotes 31 July 2018 Pages: 1647 - 1649
On analyzing user preference dynamics with temporal social networks
Fabíola S. F. Pereira
João Gama
Gina M. B. Oliveira
OriginalPaper 23 July 2018 Pages: 1745 - 1773
Ensembles for multi-target regression with random output selections
Martin Breskvar
Dragi Kocev
Sašo Džeroski
OriginalPaper 11 July 2018 Pages: 1673 - 1709
Discovering a taste for the unusual: exceptional models for preference mining
Cláudio Rebelo de Sá
Wouter Duivesteijn
Arno Knobbe
OriginalPaper Open access 09 July 2018 Pages: 1775 - 1807
Targeted and contextual redescription set exploration
Matej Mihelčić
Tomislav Šmuc
OriginalPaper 05 July 2018 Pages: 1809 - 1846
A comparison of hierarchical multi-output recognition approaches for anuran classification
Juan G. Colonna
João Gama
Eduardo F. Nakamura
OriginalPaper 05 July 2018 Pages: 1651 - 1671
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams
Ali Pesaranghader
Herna Viktor
Eric Paquet
OriginalPaper 01 June 2018 Pages: 1711 - 1743
Analyzing business process anomalies using autoencoders
Timo Nolle
Stefan Luettgen
Max Mühlhäuser
OriginalPaper 27 April 2018 Pages: 1875 - 1893
Probabilistic frequent subtrees for efficient graph classification and retrieval
Pascal Welke
Tamás Horváth
Stefan Wrobel
OriginalPaper 14 November 2017 Pages: 1847 - 1873