News:2015-09-07: CFP: Special Session on Information Visualisation and Machine Learning: Techniques, Validation and Integration at ESANN 2016 (Deadline: 20 November 2015): Difference between revisions
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<big>'''Call for papers: special session on "Information Visualisation and Machine Learning: Techniques, Validation and Integration" at ESANN 2016''' | <big>'''Call for papers: special session on "Information Visualisation and Machine Learning: Techniques, Validation and Integration" at ESANN 2016''' | ||
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European Symposium on Artificial Neural Networks, Computational Intelligence and | European Symposium on Artificial Neural Networks, Computational Intelligence and | ||
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Machine Learning (ESANN 2016). 27-29 April 2016, Bruges, Belgium - http://www.esann.org | Machine Learning (ESANN 2016). 27-29 April 2016, Bruges, Belgium - http://www.esann.org | ||
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Prospective authors must submit their paper through the ESANN portal following the instructions provided in http://www.elen.ucl.ac.be/esann/index.php?pg=submission. Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. | Prospective authors must submit their paper through the ESANN portal following the instructions provided in http://www.elen.ucl.ac.be/esann/index.php?pg=submission. Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. | ||
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'''IMPORTANT DATES''': | '''IMPORTANT DATES''': | ||
Paper submission deadline : 20 November 2015 | Paper submission deadline : 20 November 2015<br /> | ||
Notification of acceptance : 31 January 2016 | Notification of acceptance : 31 January 2016<br /> | ||
The ESANN 2014 conference : 27-29 April 2016 | The ESANN 2014 conference : 27-29 April 2016 | ||
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Latest revision as of 10:59, 7 September 2015
Call for papers: special session on "Information Visualisation and Machine Learning: Techniques, Validation and Integration" at ESANN 2016
European Symposium on Artificial Neural Networks, Computational Intelligence and
Machine Learning (ESANN 2016). 27-29 April 2016, Bruges, Belgium - http://www.esann.org
DESCRIPTION:
This special session aims at exploring how information visualisation (infovis) techniques can help researchers and practitioners in machine learning. Example issues that are welcome in this session entail the validation of results of visualisation techniques from machine learning, the use of interactive techniques to help exploration of data, how machine learning techniques can help improve information visualisation, integrated visualisation and mining (VM), etc. Experimental use cases are welcome.
This special session aims to provide practitioners from both communities a common forum of discussion where issues at the crossroads of machine learning and information visualisation could be discussed, in the wake of discussions such as [1, 2].
- Enrico Bertini and Denis Lalanne. Surveying the complementary role of automatic data analysis and visualization in knowledge discovery. In Proc. VAKD, 2009, 12-20.
- Keim, Daniel A., Florian Mansmann, and Jim Thomas. Visual analytics: how much visualization and how much analytics ? ACM SIGKDD Explor. Newsl. 11.2, 2010, 5-8.
SUBMISSION:
Prospective authors must submit their paper through the ESANN portal following the instructions provided in http://www.elen.ucl.ac.be/esann/index.php?pg=submission. Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers.
IMPORTANT DATES:
Paper submission deadline : 20 November 2015
Notification of acceptance : 31 January 2016
The ESANN 2014 conference : 27-29 April 2016
SPECIAL SESSION ORGANISERS:
Prof. Benoît Frénay Université de Namur, Belgium E-mail: benoit.frenay@unamur.be Website: http://bfrenay.wordpress.com Phone: +32 81 72 49 76
Prof. Bruno Dumas Université de Namur, Belgium E-mail: bruno.dumas@unamur.be Website: http://directory.unamur.be/staff/bdumas Phone: +32 81 72 49 75