posted by user: tipemat || 399 views || tracked by 1 users: [display]

DRILLS 2017 : Workshop on Data Representation for Learning, Living-systems and Signals


When Sep 21, 2017 - Sep 21, 2017
Where Timisoara
Submission Deadline Jun 1, 2017
Notification Due Jul 1, 2017
Final Version Due Sep 1, 2017

Call For Papers


Workshop on Data Representation for Learning, Living-systems and Signals
in the framework of SYNASC 2017
18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Timisoara, Romania
September 21 – 24, 2017

Workshop deadlines
Submission of papers: June 1st, 2017
Notification of acceptance: July 1st, 2017
Registration: September 1, 2017
Final paper: September 1, 2017
Revised papers for post-proceedings: November, 2017

Workshop description
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.
The workshop welcomes submissions of original, high-quality papers reporting on the topics listed below.

Workshop chairs
Darian M. Onchis and Pedro Real

Invited speaker on biomedical data
Martin Ehler, University of Vienna, Austria (

Program committee (first draft)
Aldo Gonzalez Lorenzo (Université de Aix-Marseille, France)
Antonio Bandera (Universidad de Málaga, Spain)
Sebastiano Barbieri (University Hospital of Bern)
Codruta Istin (Politehnical University of Timisoara, Romania)
Daniela Zaharie (West University of Timisoara, Romania)
Fernando Diaz-del-Rio (Universidad de Sevilla, Spain)
Gino Velasco (University of the Philippines Diliman, Philippines)
Helena Molina Abril (Inst. Maimónides Bioinformatics, Córdoba, Spain)
Ioana Necula (Universidad de Sevilla, Spain)
Mihail Gaianu (West University of Timisoara, Romania)
Pavel Rajmic (Brno University of Technology, Czech Republic)
Pedro Real (Universidad de Sevilla, Spain)
Ruqiang Yan (Southeast University, China)
Valentina Balas (Aurel Vlaicu University of Arad, Romania)

Workshop organizers
Darian M. Onchis, Email: darian.onchis at
Simone Zappala , Email: simone.zappala at

Specific topics of this workshop include, but are not limited to, the following (listed in alphabetical order):
√ Advanced data structures for bio-signals
√ Bio-image representations
√ Data mining for living-systems
√ Data representation for computational topology
√ Deep learning for bio-signals
√ Dictionary learning for dimensionality reduction
√ Frame-based expansions
√ Geometrical modelling of data guided by topological constraints
√ Homotopy data representation
√ Kernel based learning for data representation
√ Multi-dimensional and multi-variate data processing
√ Multi-scale, multi-modal techniques for tomographic imaging
√ Multi-window spline-type systems of representation atoms
√ Parallelization and GPU computing for data segmentation
√ Redundant data approximation
√ Signals and bio-signals decomposition
√ Time-frequency analysis of signals
√ Topological compression of big-data
√ Visual information processing

Paper submission
We invite submissions in the form of:
√ research papers,
√ extended abstracts
Papers of up to 8 pages (in CPS Conference Style) should be electronically submitted through EasyChair.
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.

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.
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 or in SCPE – Scalable Computing: Practice and Experience (SCOPUS indexed). Other possibilities for publication will be formulated soon after the workshop.

Related Resources

ICDMML 2019   2019 International Conference on Data Mining and Machine Learning
ISBDAI 2018   2018 International Symposium on Big Data and Artificial Intelligence
CSITS 2018   International Workshop on Cyber Security for Intelligent Transportation Systems
iDSC 2019   International Data Science Conference
CORES 2019   11th International Conference on Computer Recognition Systems CORES 2019
IMCS 2018   【Free Journal】Information Management and Computer Science
ICETI 2018   2018 3rd International Conference on Engineering and Technology Innovations
CORES 2019   11th International Conference on Computer Recognition Systems CORES 2019
SI-TNNLS-SMLMATA 2018   TNNLS Special Issue on Structured Multi-output Learning: Modelling, Algorithm, Theory and Applications
ICBDE--Ei and Scopus 2019   2019 2nd International Conference on Big Data and Education (ICBDE 2019)--Ei Compendex and Scopus