{"id":1374,"date":"2017-04-04T13:33:24","date_gmt":"2017-04-04T11:33:24","guid":{"rendered":"http:\/\/synasc.ro\/2017\/?page_id=1374"},"modified":"2017-07-16T16:09:45","modified_gmt":"2017-07-16T14:09:45","slug":"drills-2017","status":"publish","type":"page","link":"https:\/\/synasc.ro\/2017\/workshops\/drills-2017\/","title":{"rendered":"DRILLS 2017"},"content":{"rendered":"
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Workshop on Data Representation for Learning, Living-systems and Signals<\/p>\n

in the framework of<\/em><\/p>\n

SYNASC 2017
\n19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing<\/p>\n

Timisoara, Romania
\nSeptember 21 \u2013 24, 2017<\/p>\n

Workshop deadlines<\/strong><\/p>\n

Submission of papers:July 25, 2017 <\/strong>(hard deadline)
\nNotification of acceptance:\u00a0August 10, 2017<\/strong>
\nRegistration: September 1, 2017<\/strong>
\nFinal paper: September 1, 2017
\n<\/strong>Revised papers for post-proceedings: November, 2017<\/strong><\/p>\n

Workshop description<\/strong><\/p>\n

Big volumes of data are prevailing these days in both science and industry. However the size is not the only problem since raw data representation is complex, mixing various components. Also data understanding and interpreting is difficult when the data is collected on topological manifolds, on biomedical structures or it is simply non-scalar. Therefore, there is a current need for optimal data representation in the sense of mapping the data in a new format better suited for analysis and processing. The aim of the workshop is to consider efficient representations of data involved in machine learning, bioinformatics and signals theory using novel methods coming from advances in constructive frame-based expansions, computational topology, dictionary learning, data mining, advanced data structures or artificial intelligence. Applications of novel data representation and analysis for bio-signals, tomographic imaging or data clustering, classification, association and compression are of particular interest.<\/p>\n

The workshop welcomes submissions of original, high-quality papers reporting on the topics listed below.<\/p>\n

Workshop chairs<\/strong><\/p>\n

Darian M. Onchis, West University of Timisoara, Romania
\nPedro Real, University of Seville, Spain<\/p>\n

Invited speaker on biomedical data<\/strong><\/p>\n

Martin Ehler<\/a>, University of Vienna, Austria<\/p>\n

Program committee (first draft)<\/strong><\/p>\n

Aldo Gonzalez Lorenzo (Universit\u00e9 de Aix-Marseille, France)
\nAntonio Bandera (Universidad de M\u00e1laga, Spain)
\nSebastiano Barbieri (University Hospital of Bern)
\nCodruta Istin (Politehnical University of Timisoara, Romania)
\nDaniela Zaharie (West University of Timisoara, Romania)
\nFernando Diaz-del-Rio (Universidad de Sevilla, Spain)
\nGino Velasco (University of the Philippines Diliman, Philippines)
\nHelena Molina Abril (Inst. Maim\u00f3nides Bioinformatics, C\u00f3rdoba, Spain)
\nIoana Necula (Universidad de Sevilla, Spain)
\nMihail Gaianu (West University of Timisoara, Romania)
\nPavel Rajmic (Brno University of Technology, Czech Republic)
\nPedro Real (Universidad de Sevilla, Spain)
\nRuqiang Yan (Southeast University, China)
\nValentina Balas (Aurel Vlaicu University of Arad, Romania)<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Workshop organizers<\/strong><\/p>\n

Darian M. Onchis, Email: darian.onchis at e-uvt.ro
\nSimone Zappala, Email: simone.zappala at univie.ac.at<\/p>\n

Topics<\/strong><\/p>\n

Specific topics of this workshop include, but are not limited to, the following (listed in alphabetical order):<\/p>\n

\u221a Advanced data structures for bio-signals
\n\u221a Bio-image representations
\n\u221a Data mining for living-systems
\n\u221a Data representation for computational topology
\n\u221a Deep learning for bio-signals
\n\u221a Dictionary learning for dimensionality reduction
\n\u221a Frame-based expansions
\n\u221a Geometrical modelling of data guided by topological constraints
\n\u221a Homotopy data representation
\n\u221a Kernel based learning for data representation
\n\u221a Multi-dimensional and multi-variate data processing
\n\u221a Multi-scale, multi-modal techniques for tomographic imaging
\n\u221a Multi-window spline-type systems of representation atoms
\n\u221a Parallelization and GPU computing for data segmentation
\n\u221a Redundant data approximation
\n\u221a Signals and bio-signals decomposition
\n\u221a Time-frequency analysis of signals
\n\u221a Topological compression of big-data
\n\u221a Visual information processing<\/p>\n

Paper submission<\/strong><\/p>\n

We invite submissions in the form of:
\n\u221a research papers,
\n\u221a extended abstracts<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Papers of up to 8 pages (in CPS Conference Style)<\/a> should be electronically submitted through EasyChair<\/a>.<\/p>\n

Research papers must contain original research results not submitted and not published elsewhere. Authors who want to present work in progress or discuss new aspects or a survey of their older research results at the workshop are welcome to submit an extended abstract (up to 4 pages). Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Workshop topics.<\/p>\n

Publication<\/strong><\/p>\n

The papers accepted for presentation will be included in locally edited proceedings (electronic version on a memory stick). Accepted research papers should be presented at the conference and the best papers will be selected for publication in the post proceedings published by Conference Publishing Services.<\/p>\n

Extended versions of the papers accepted and presented at the workshop will be considering to be published as a special issue in the Mathematics and Computer Science Annals of the West University of Timisoara<\/a> or in SCPE \u2013 Scalable Computing: Practice and Experience<\/a> (SCOPUS indexed). Other possibilities for publication will be formulated soon after the workshop.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Workshop on Data Representation for Learning, Living-systems and Signals in the framework of SYNASC 2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Timisoara, Romania September 21 \u2013 24, 2017 Workshop deadlines Submission of papers:July 25, 2017 (hard deadline) Notification of acceptance:\u00a0August 10, 2017 Registration: September 1, 2017 Final paper: September 1, […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":257,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1374","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/pages\/1374","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/comments?post=1374"}],"version-history":[{"count":10,"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/pages\/1374\/revisions"}],"predecessor-version":[{"id":1567,"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/pages\/1374\/revisions\/1567"}],"up":[{"embeddable":true,"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/pages\/257"}],"wp:attachment":[{"href":"https:\/\/synasc.ro\/2017\/wp-json\/wp\/v2\/media?parent=1374"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}