CFP: ECML-SUEMA workshop

ECML – SUEMA 2010 workshop :
Supervised and Unsupervised Ensemble Methods and their Applications
September 20, 2010 – Barcelona, Spain

Dear Colleague,
we are pleased to invite you to submit a paper to the
workshop Supervised and Unsupervised Ensemble Methods and Their
Applications (SUEMA 2010), organized in the context of the European
Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases (ECML-PKDD 2010).

The workshop is organized with the support of the PASCAL2 (Pattern Analysis,
Statistical Modelling and Computational Learning) European Network of

We are very pleased to announce the PASCAL2 invited speaker,
Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece);
he will give a talk on “Ensemble Methods for Multi-Label Data”.

SUEMA 2010 intends to provide a forum for researchers in the field
of Machine Learning and Data Mining to discuss topics related to
ensemble methods and their applications.

More information about the topics of the workshop are available at the
workshop web-site:

With best regards

Oleg Okun, Matteo Re and Giorgio Valentini.


Submission 28st June 2010
Notification 19th July 2010
Camera Ready 28st July 2010

— Submission of papers

The authors should submit the papers by e-mail to the workshop chairs
Oleg Okun (olegokun(at),
Matteo Re (re(at),
Giorgio Valentini (valentini(at)

All papers will be peer reviewed based on originality, technical content
and experimental evaluation.

— Workshop Registration

All workshop participants are required to register for the main conference.

— Workshop proceedings

ECML/PKDD will publish all accepted workshop papers on a CD.

As for previous SUEMA editions, workshop chairs are managing to publish
the extended versions of the workshop papers in an edited book or in a
special issue of a machine learning-oriented journal.

—— Main topics

The main topics of the conference include (but are not limited

New ensemble methods raised from new real world supervised and
unsupervised learning problems

Application of ensemble methods in various branches of science
and technology: bioinformatics, medical informatics, computer
security, economics, ecology, meteorology and weather forecast,
image analysis and signal processing, satellite image analysis.

Multi-class, multi-label, multi-path ensemble methods for
hierarchically structured taxonomies.

Fusion of multiple-source/multi-sensor data

Unsupervised ensemble methods for discovering structures in
unlabeled real data

Unsupervised ensemble approaches to assess the
reliability/validity of clusters discovered in real data

Combination techniques and methods to generate multiple base
learners from different features and data

Dynamic member selection for including into an ensemble

Heterogeneous ensembles of base learners

Variants of re-sampling-based methods (bagging, boosting)

Ensemble methods for supervised multi-class classification and

Supervised and unsupervised ensemble methods for structured

Ensemble methods for adaptive incremental learning

— SUEMA Scientific Program Committee

Nicolo’ Cesa-Bianchi, University of Milano, Italy
Carlotta Domeniconi, George Mason University, USA
Robert Duin, Delft University of Technology, the Netherlands
Mark Embrechts, Rensselaer Polytechnic Institute, USA
Ana Fred, Technical University of Lisboa, Portugal
Joao Gama, University of Porto, Portugal
Giorgio Giacinto, University of Cagliari, Italy
Larry Hall, University of South Florida, USA
Ludmila Kuncheva, University of Wales, UK
Francesco Masulli, University of Genova, Italy
Petia Radeva, Autonomous University of Barcelona, Spain
Juan Jose’ Rodriguez, University of Burgos, Spain
Fabio Roli, University of Cagliari, Italy
Paolo Rosso, Polytechnic University Valencia, Spain
Carlo Sansone, Federico II University of Napoli, Italy
Jose’ Salvador Sanchez, University Jaume I, Spain
Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece
Jordi Vitria’, Autonomous University of Barcelona, Spain
Ioannis Vlahavas, Aristotle University of Thessaloniki, Greece
Terry Windeatt, University of Surrey, UK

— Workshop Chairs

Oleg Okun
Matteo Re
Giorgio Valentini