Call for papers: AAAI 2014 Workshop

12th Workshop on Intelligent Techniques for Web Personalization & Recommendation (ITWP 2014)

In conjunction with AAAI 2014, July 27/28, 2014 – Quebec, Canada

Organization:
Dietmar Jannach, Department of Computer Science, Technische Universität Dortmund, Germany
Bamshad Mobasher, School of Computer Science, DePaul University, Chicago, USA

IMPORTANT DATES
* 10 April: Paper submission deadline
* 1 May: Author notification
* 15 May: Camera-ready versions due
* 27/28 July: Workshop held

For further details please visit http://ls13-www.cs.uni-dortmund.de/homepage/itwp2014/

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Update of the internal music database

The music database for genre and style recognition has been extended with an artist-independent test set TSAI120. This set has the same genre and approximately the same style distribution and is designed to evaluate the possible overfitting towards particular artists / albums. The description of the complete database and the lists of features are here.

The songs can not be freely distributed. However, if you are interested in audio features from my PhD, you can write me an email!

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PhD ready

The PhD is available online:
Bernd Bischl – Model and Algorithm Selection in Statistical Learning and Optimization.

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Call for abstracts: Statistical Musicology at ECDA 2014

Dear colleague,

I would like to announce a Session “Statistical Musicology” at the 38th annual conference of the German Classification Society (GfKl), called the 2nd European Conference on Data Analysis, July 2 – 4, 2014, in Bremen (Germany).

The conferences of the GfKl are well-known for both, their theoretical and their practical contributions, on various fields of classification and data analysis. Since last year, the GfKl conferences are called European Conferences on Data Analysis. Statistical Musicology is the eleventh time on the schedule of the GfKl conference. On the first ten occasions the musicology sessions comprised between 6 and 10 papers each. Moreover, there were invited talks in the field in 2004 by Jan Beran, in 2009 by Taylan Cemgil, and in 2010 by myself at the conference.

In 2014 the session is again open to all topics in the field. The idea is to give all statistically oriented groups in the field a forum to improve communication as well as to give us the chance to also join statistical methodology oriented sessions on supervised and unsupervised learning and data analysis in general at the conference.

I would like to invite you and your group cordially to present a paper at the musicology session.

Please note that abstracts have to be submitted until March 15, 2014 extended to March 31, 2014!!

More information and templates can be found under:
http://ecda2014.eu .

Papers corresponding to presentations can be published in post-conference proceedings. Full papers can be submitted until September 30, 2014.

I am looking forward to welcome you at the conference.

Best regards,

C. Weihs
(Session Organizer)

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Call for papers: Special Issue on User Acceptance of Recommender Systems

Papers on user acceptance of recommender systems may be prepared for the special issue of the Journal of Personalization Research. The deadline for extended abstract submission is February 1, 2014.

For further details see http://ls13-www.cs.uni-dortmund.de/homepage/umuai2013/index.shtml.

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Call for papers: IEEE Conference on Computational Intelligence and Games in Dortmund

Next year the IEEE Conference on Computational Intelligence and Games will take place in Dortmund, Park Inn hotel, 26-29.08.2014.

First call of papers and further details are available on the web page of CIG 2014.

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ISMIR paper accepted

The paper G. Bonnin and D. Jannach - Evaluating the Quality of Generated Playlists Based on Hand-Crafted Samples is accepted for ISMIR 2013 (list of all accepted papers is available here).

ISMIR 2013 will take place on 4-8.11.2013 in Curitiba, Brazil.

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Collaborative Research Centre SFB 823 renewed for another 4 years

DFG-funded collaborative research centre (SFB) 823 “Statistical modelling of nonlinear dynamic processes” has received a renewal of funding for additional 4 years till 2017. In projects B3 and C2 of this SFB several members of SIGMA will continue their research on experimental designs and hearing aid algorithms for music.

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Project group on music recommendation starts in winter term

The student project group “Music recommender systems – automatic generation of playlists for music discovery” (supervised by I. Vatolkin, G. Bonnin, and D. Jannach) will start in winter term 2013/2014.

Further details (in German) are available in the project group booklet

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PhD available online

PhD Improving Supervised Music Classification by Means of Multi-Objective Evolutionary Feature Selection is available online.

The main topics of the work are (1) the development of interpretable high-level audio features related to music theory for and (2) evolutionary multi-objective feature selection for the optimisation of supervised music classification into genres and styles.

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