Aims: This
workshop aims to offer a meeting opportunity for academics and industry
for industry-related researchers, belonging to the various communities
of Computational Intelligence, Machine Learning, Experimental Design
and Data Mining to discuss new areas of active and incremental
learning, and to bridge the gap between data acquisition or
experimentation and model building. How active sampling, incremental
learning and data acquisition, can contribute towards the design and
modeling of highly intelligent autonomous learning systems?
Example 1:
Imagine a simple problem which is to supervise a node in a
telecommunication network which using a binary classifier. The first
step is to train incrementally (and perhaps using active learning) the
classifier using a data stream and then to maintain this classifier
without any “human” interaction. The classifier has to be completely
autonomous. Papers which will propose new elements to go to this
direction will be in the scope of the workshop.
Example 2:
The diachronic analysis of a large and evolving information source for
detecting stable, emerging or vanishing topics could be done with the
help of clustering methods. However, to provide satisfying detection
accuracy, the exploited methods must altogether deal with the
plasticity stability dilemma and be able to manage an evolving data
description space. Paper that will propose efficient solutions that
respect these constraints will be also in the scope of the workshop.
Topics of interest to the workshop include (but are not limited to):• Experimental Design
• Active Learning
• Autonomous Learning
• Incremental Learning
• Autonomous intelligent systems
• On-line learning Novelty and Drift Detection
• Adaptive clustering methods
• Case Studies of AIL Learning (railway stations, airport, bank branches, etc)
• Autonomous Robots
Chairs:• Vincent Lemaire, Orange Labs, 2 avenue Pierre Marzin, 22300 Lannion
(
vincent.lemaire-C0LM0jrOve7QT0dZR+AlfA@public.gmane.org)
• Pascal Cuxac, INIST – CNRS, 2 allée du Parc de Brabois, CS 10310, 54519 Vandoeuvre les Nancy
(
pascal.cuxac-CefJ8QCIZAI@public.gmane.org)
• Jean-Charles Lamirel, INRIA-LORIA, Campus Scientifique, BP. 239, 54506 Vandoeuvre les Nancy
(
lamirel-/zGXu1G9BXs@public.gmane.org)
Invited speaker(s):• Manuel Roveri (
http://home.dei.polimi.it/roveri/)
• Zhi-Hua Zhou (
http://cs.nju.edu.cn/zhouzh/)
Important Dates:• 28 May 2012: Workshop paper submission deadline
• 28 Jun 2012: Notification of acceptance
• 15 Jul 2012: Camera-ready version deadline
• August 27
or 28, 2012: Workshop
Paper format and proceedings:Papers
must not exceed SIX (6) pages (and at least 3 pages) in camera-ready
format for ECAI. Overlength submissions will be rejected without
review. Papers for ECAI-AIL should be submitted using the ECAI-AIL
formatting style; details of the style are available at:
http://people.cs.kuleuven.be/~luc.deraedt/ecai2012-style.zip
Reviewing
for ECAI-AIL 2012 will be blind: reviewers will not be presented with
the identity of paper authors. To allow for blind review, author names
in a submitted paper should be replaced by the unique tracking number
assigned by the conference website at the submission of an electronic
abstract. Authors should avoid writing anything that makes their
identity obvious in the text.
Proceedings: The
organizers will provide a single pdf file to be posted on the ECAI
website + on the ECAI-AIL workshop website. Workshop proceedings will
be also distributed to the participants on an usb key. After the
workshop, if the quantity and quality of submissions justifies a
special journal issue, authors of selected papers will be invited to
re-submit their work to be considered for inclusion in a special issue
of a journal.
Organizing committee:• Mahmoud Abou-Nasr (Ford Motor Company,USA),
• Shadi Al Shehabi (Allepo University,Aleppo,Syria),
• Cesare Alippi (Politecnico di Milano,Milano,Italia),
• Tomas Arredondo (U.T.F.S.M. Valparaíso,Chile),
• Vassilis Athitsos (University of Texas at Arlington,Texas,USA),
• Albert Bifet,(University of Waikato,Hamilton,New Zealand),
• Alexis Bondu (EDF R&D),
• Fazli Can (Bilkent University,Ankara,Turkey),
• Laurent Candillier (Wikio Group / Nomao),
• Chaomei Chen (Drexel University,Philadelphia,USA),
• Jung-Chen Chiang (NCKU,Tainan,Taiwan),
• Fabrice Clérot (Orange Labs)
,
• Pascal Cuxac (INIST-CNRS,Vandoeuvre les Nancy),
• Abdoulaye B. Diallo (UQAM,Montreal,Canada),
• Gideon Dror (Academic college of Tel-Aviv Yaffo,Israel),
!
8226; Hugo Jair Escalante, (National Institute of Astrophysics, Optics and Electronics, Mexico),
• Françoise Fessant (Orange Labs),
• Dominic Forest (EBSI Univ. Montreal,Montreal,Canada),
• José García-Rodríguez (University of Alicante,Spain),
• Wolfgang Glanzel (KU Leuven, Leuven, Belgia),
• Jing-Hao He (University of Rhode Island,Kingston,USA),
• Pascale Kuntz-Cosperec (Polytech'Nantes),
• Jean-Charles Lamirel (Talaris Loria),
• Vincent Lemaire (Orange Labs),
• Bin Li (University of Technology (UTS),Sydney,Australia),
• Gaelle Losli (Polytech Clermont-Ferrand),
• Florin Popescu (Fraunhofer Institute,Berlin,Germany),
• Vikram Pudi (IIIT Hydeabad,Hyderabad,In
dia),
• Manuel Roveri (Politecnico di Milano,Milano,Italia),
• Christophe Salperwyck (Orange Labs),
• Tony C. Smith (University of Waikato,Hamilton,New Zealand),• Danny Silver (University of Acadia,Wolfville,Canada!
),
8226; Alexander Statnikov (New York University,New-York,USA),
• Dan Tamir (Texas State University,San Marcos,USA),
• Fabien Torre (Université Lille 3),
• Ioannis Tsamardinos (University of Crete,Greece),
• Vincent Tseng (NCKU,Tainan,Taiwan),
• Zhi-Hua Zhou (Nanjing University,Nanjing,China),
• Xingquan Zhu (University of Technology (UTS),Sydney,Australia),
• Djamel Zighed (Louis Lumiere University,Lyon).
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