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June 2017
- 12 participants
- 13 discussions
VINCI 2017
The 10th International Symposium on Visual Information Communication and Interaction
Bangkok, Thailand, 14-16 August 2017
Poster submission deadline 12 June 2017
vinci-conf.org
============================================================
Visual communication through graphical or sign languages has long been conducted among human
beings of different backgrounds or cultures, and in recent decades between human and machine.
In today's digital world, visual information is typically encoded with various metaphors commonly
used in daily life to facilitate rapid comprehension and easy analysis during the communication process.
Visual information communication generally encompasses information visualization, graphical user-interfaces, visual analytics, and visual languages. Visual information is increasingly being used to facilitate
human-human communication through the Internet and mobile devices.
The Symposium on Visual Information Communication and Interaction (VINCI) (vinci-conf.org) is the
premier international forum for researchers and industrial practitioners to discuss the state-of-the-art
in visual communication theories, designs, and applications. The 10th International Symposium on Visual Information Communication and Interaction (VINCI'17) will be held during 14-16 August 2017, in Bangkok, Thailand.
All accepted posters will be published by ACM Press and made available in the ACM Digital Library (EI indexed).
============================================================
1. SCOPES AND TOPICS
We solicit original, unpublished research posters that focus on all aspects of visual information
communication and interaction, either via images, computer graphics,
animations, virtual reality, web, or other media. Research papers may address
cognitive and design aspects, underlying theories, taxonomies, implementation work,
tool support, and case studies. Topics of interest include but are not limited to the
following:
Cognitive aspects of visual information comprehension
Empirical studies of novel visual metaphor
Visual interaction through multimodality
Visual approaches for knowledge discovery
Computational aesthetics
Visual analytics
Graph drawing and (multivariate) network visualization
Information visualization
Graphical user interface design
Aesthetics in visual communication
Influence of visual arts and design
Visual modeling languages and UML
Visual communication metaphors
Visual programming languages
Visualization on mobile devices
Applications like SoftVis, BioVis, GeoVis, ...
Sketching
Human-computer interaction
2. POSTER SUBMISSION
Submissions that address research and development, as well as experience reports
and tool demonstrations on the above and other related topics are strongly encouraged.
All accepted posters will appear in the proceedings of VINCI 2017 published by ACM
Press and made available in the ACM Digital Library (EI indexed).
Posters are up to two ACM double-column pages,and should be submitted through easychair.org.
3. KEYNOTE SPEECH
Keynote speech 1
Learning through Overcoming Inconsistencies, Prof. Du Zhang,
(Macau University of Science and Technology)
Du Zhang is Professor and Dean of the Faculty of Information Technology, Macau University of
Science and Technology, Macau, China. He received his Ph.D. and M.S. degrees, both in computer
science, from the University of Illinois and Nanjing University, China,
respectively. Previously he was a Professor and Chair of the Computer Science Department at
California State University, Sacramento. He has research affiliations with numerous
universities in the USA, UK, Hong Kong, China, Czech Republic, and Mexico.
Professor Zhang's current research interests include machine learning (inconsistency-induced
perpetual learning), knowledge-based systems, big data analytics, and software engineering.
He has over 200 publications in these and other areas. He has served in various roles on
numerous international conferences, and is editor or editorial board member for several
journals in the areas of artificial intelligence, software engineering and knowledge
engineering, big data, and applied mathematics. Professor Zhang is a senior member of both
the IEEE and ACM, a board member of the Society of Information Reuse and Integration, and a
member of Upsilon Pi Epsilon and Phi Beta Delta.
Keynote speech 2
Michael CohenSpatial Media and Visualization, Prof. Michael Cohen
(University of Aizu, Japan)
Michael Cohen received an Sc.B. in EE from Brown University (Providence, Rhode Island) in
1980, M.S. in CS from the University of Washington (Seattle) in 1988, and Ph.D. in EECS from
Northwestern University (Evanston, Illinois) in 1991. He has worked at the Air Force
Geophysics Lab (Hanscom Field, Massachusetts), Weizmann Institute (Rehovot; Israel),
Teradyne (Boston, Massachusetts), BBN (Cambridge, Massachusetts and Stuttgart; Germany),
Bellcore (Morristown and Red Bank, New Jersey), the Human Interface Technology Lab (Seattle,
Washington), and the Audio Media Research Group at the NTT Human Interface Lab (Musashino
and Yokosuka; Japan). He is currently a Professor in the Human Interface Lab at the University of
Aizu (Aizu-Wakamatsu, Japan).
He has research interests in user interfaces for telecommunications, groupware and CSCW
(computer-supported collaborative work), stereotelephonics, digital typography and
electronic publishing, hypermedia, ubicomp (ubiquitous computing) and virtual reality.
Besides teaching various undergraduate courses including Information Theory, he co-teaches
graduate-level courses in Acoustic Modeling, and Computer Music.
He is a member of the ACM, IEEE, 3D-Forum, TUG (TeX Users Group), and VRSJ (Virtual Reality
Society of Japan).
4. IMPORTANT DATES
Poster submission deadline: June 12, 2017 (23:59 PST)
Notification of decision: June 19, 2017 (23:59 PST)
5. ORGANIZATION
General Chair
Robert P. Biuk-Aghai, University of Macau, Macau
Program Chairs
Shigeo Takahashi, University of Aizu, Japan
Jie Li, Tianjin University, China
Local Chair
Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi, Thailand
Finance Chair
Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand
Publicity Chair
Yi-Na Li Texas A&M University, USA
6. PROGRAM COMMITTEE
Benjamin Bach, Harvard University
Rita Borgo, King's College London
Paolo Bottoni, Sapienza University of Rome
Paul Bourke, University of New South Wales
Stephen Brooks, Dalhousie University
Michael Burch, University of Stuttgart
Vetria Byrd, Purdue University
Daniel Cernea, AGT International
Wei Chen, Zhejiang University
Gennaro Costagliola, Università di Salerno
Achim Ebert, University of Kaiserslautern
Mai Elshehaly, Virginia Tech
Vittorio Fuccella, Università di Salerno
Liang Gou, Visa Research
Denis Gracanin, Virginia Tech
Jiquan Han, Huawei Technologies
Jiangen He, Drexel University
Masahito Hirakawa, Shimane University
Seok-Hee Hong, University of Sydney
Xiaodi Huang, Charles Sturt University
Weidong Huang, University of Tasmania
Takayuki Itoh, Ochanomizu University
Andreas Kerren, Linnaeus University
Karsten Klein, University of Konstanz
Jun Kong, North Dakota State University
Robert S. Laramee, Swansea University
Yina Li, Nankai University
Zhanping Liu, Kentucky State University
Zhipeng Liu, Huawei Technologies
Aidong Lu, UNC Charlotte
Kresimir Matkovic, VRVis Research Center
John McGhee, UNSW Australia
Kazuo Misue, University of Tsukuba
Chris Muelder, University of California at Davis
Quang Vinh Nguyen, University of Western Sydney
Patrick Pang, The University of Melbourne
Margit Pohl, Vienna University of Technology
Francois Poulet, IRISA
Martin R?hlig, University of Rostock
Raimondo Schettini, Università degli Studi di Milano-Bicocca
Kamran Sedig, The University of Western Ontario
Guanglei Song, Twitter
Arcot Sowmya, University of New South Wales
Changming Sun, CSIRO
Ioannis G. Tollis, University of Crete
Cagatay Turkay, City University London
Gualtiero Volpe, DIBRIS-University of Genova
Sai-Keung Wong, The National Chiao Tung University
Hsiang-Yun Wu, Keio University
Jie Wu, Tongji University
Yingcai Wu, Zhejiang University
Yu-Bin Yang, Nanjing University
Kang Zhang, University of Texas at Dallas
Ye Zhao, Kent State University
Jianlong Zhou, CSIRO
Hong Zhou, Shenzhen University
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2nd Call for Papers -- Workshop on Visualization For Machine Learning And Knowledge Extraction at CD-MAKE 2017 -- Deadline June 12 !
by Turkay, Cagatay 05 Jun '17
by Turkay, Cagatay 05 Jun '17
05 Jun '17
Dear Colleagues,
Below is the 2nd Call for Papers for the following workshop titled “Visualization For Machine Learning And Knowledge Extraction” at CD-MAKE 2017, deadline is JUNE 12 !!
We invite submissions to this workshop titled “Visualization For Machine Learning And Knowledge Extraction” <https://cd-make.net/special-sessions/make-vis> which is organized as a special session within the “CD-MAKE 2017 -- International Cross Domain Conference for Machine Learning & Knowledge Extraction” Conference <https://cd-make.net<https://cd-make.net/>> taking place between ** August 29 – September 1, 2017 ** in Reggio di Calabria, Italy.
This workshop calls for contributions that demonstrate the role and the value of visualization within the whole data science process. The central goal of this workshop is to bring together experts from machine learning and visualization, and also practitioners and researchers from both academia and industry to spark discussion through reflections on cross-domain problems and on the use of diverse techniques from various fields.
Accepted papers will be published in Lecture Notes in Artificial Intelligence (LNAI) by Springer <http://www.springer.com/series/1244> and selected papers will be invited to a special issue of the Information Visualization journal by Sage <http://journals.sagepub.com/home/ivi> following the event. The deadline for submission is:
** DEADLINE June 12, 2017 **
For further details, please refer to the CFP below, and for questions feel free to contact Cagatay Turkay <Cagatay.Turkay.1(a)city.ac.uk> and Bob Laramee <r.s.laramee(a)swansea.ac.uk>.
CD-MAKE Visualisation Organizing Committee,
Cagatay TURKAY, City, University of London, UK
Robert S. LARAMEE, Swansea University, UK
Chaomei CHEN, Drexel University, USA
Andreas HOLZINGER, Graz University of Technology, Austria
==== CALL FOR PAPERS =====
VISUALIZATION FOR MACHINE LEARNING AND KNOWLEDGE EXTRACTION
A Special Session at CD-MAKE 2017 -- International Cross Domain Conference for Machine Learning & Knowledge Extraction <https://cd-make.net/>
AIM & SCOPE
-------------------------
The central goal of this workshop is to bring together experts from machine learning and visualization. Machine learning and Knowledge extraction is an enormously increasing field with many practical applications. Whilst algorithm development is surely at the center of the whole pipeline, it is the visualization which ultimately makes the results accessible to the end user. Visualization thus can be seen as a mapping from arbitrarily high-dimensional spaces to the lower dimensions and plays a central and critical role in interacting with machine learning algorithms, and particularly with interactive machine learning (iML) with the human-in-the-loop.
BACKGROUND
-------------------------
The unprecedented increase in the amount, variety and value of data has been significantly transforming the way that scientific research is carried out and businesses operate. Knowledge generated from data drives innovation in almost all application domains, including health, transport, cyber security, manufacturing, digital services, and also scientific domains such as biology, medicine, environmental and physical sciences, the humanities and social sciences to name a few. Within data science, which has emerged as a practice to enable this data-intensive innovation by gathering together and advancing the knowledge from fields such as statistics, machine learning, knowledge extraction, data management, and visualization, visualization plays a unique and maybe the ultimate role as an approach to facilitate the human and computer cooperation, and to particularly enable the analysis of diverse and heterogeneous data using complex computational methods where algorithmic results are challenging to interpret and operationalize. Visual data science approaches not only support the abstraction and communication of findings, but also enable new forms of investigation and exploration that can lead to novel and better-informed observations and data-driven inferences.
CALL FOR CONTRIBUTIONS
-------------------------
This workshop calls for contributions that demonstrate the role and value of visualization for machine learning and knowledge extraction but also within the whole data science process. Methods that exemplify the value of the synergy between visualization and fields such as machine learning, statistics or data mining, and examples of applications where such visual data science approaches deliver new ways of extracting knowledge are highly encouraged. The workshop aims to bring together practitioners and researchers from both academia and industry, and aims to spark discussion and cross-breeding through reflections on cross-domain-driven problems and on the use of diverse techniques from various fields.
SUGGESTED TOPICS FOR PAPERS INCLUDE, BUT ARE NOT LIMITED TO:
-------------------------
-- Novel visual representations and interaction techniques to facilitate human-involved interactive machine learning and knowledge extraction processes
-- Methods and tools for the presentation, production, and visual dissemination of analytical findings
-- Data management and knowledge representation including scalable data representations
-- Applications of visual data science that demonstrate the value of such a hybrid approach in a given application domain
-- Methods related to clustering, subspace visualization, dimensionality reduction
-- Visual analytics and konowledge discovery
-- Applications of visual analytics
-- Graph and Network Visualization
-- Algebraic and Computational Topology and Visualization
SUBMISSION FORMAT
-------------------------
Accepted papers, 6-20 pages (even page numbers!) – please consult the general CD-MAKE submission guidelines<https://cd-make.net/authors-area/submission/> – will be published in the CD-MAKE Springer Volume of Lecture Notes in Artificial Intelligence (LNAI). Selected papers will be invited to a special issue of the Information Visualization (Sage) journal following the event (separate information will be provided soon).
JOURNAL INFORMATION:
-------------------------
Sage Information Visualization, SCI IF (2015) = 0.639
http://journals.sagepub.com/home/ivi
http://dblp.uni-trier.de/db/journals/ivs
Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice.
DATES:
-------------------------
*** Submission deadline: June 12, 2017
*** Notifications: July 3, 2017
*** Camera-Ready deadline: July, 9, 2017 (hard deadline – no extensions possible)
*** Workshop: August 29 – September 1, 2017
ORGANIZING COMMITTEE:
-------------------------
Cagatay TURKAY, City, University of London, UK
Robert S. LARAMEE, Swansea University, UK
Chaomei CHEN,Drexel University, USA
Andreas HOLZINGER, Graz University of Technology, Austria
TECHNICAL COMMITTEE:
-------------------------
Colleagues from the main CD-MAKE committee<https://cd-make.net/committees>
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03 Jun '17
===========================================================================
Final Call for Papers
GD 2017
25th International Symposium on
Graph Drawing and Network Visualization
September 25-27, 2017 - Boston, MA, U.S.A.
http://graphdrawing.org/gd2017
===========================================================================
PDF version:
https://gd2017.ccis.northeastern.edu/files/2017/02/GD2017CFP.pdf
===========================================================================
Graph Drawing is concerned with the geometric representation of graphs
and constitutes the algorithmic core of Network Visualization. Graph
Drawing and Network Visualization are motivated by applications where it
is crucial to visually analyze and interact with relational datasets.
Examples of such application areas include data science, social
sciences, Web computing, information systems, biology, geography,
business intelligence, information security and software engineering.
GD has been the main annual event in this area for more than 20 years.
Its focus is on combinatorial and algorithmic aspects of graph drawing
as well as the design of network visualization systems and interfaces.
GD 2017 will take place September 25-27, 2017 at the Northeastern
University in Boston, Massachusetts, USA. Researchers and practitioners
working on any aspects of graph drawing and network visualization are
invited to contribute papers and posters and to participate in the
symposium and the graph drawing contest.
PAPERS
------
We invite authors to submit papers describing original research of
theoretical or practical significance to graph drawing and network
visualization. Regular papers must be submitted explicitly to one of two
distinct tracks. Papers submitted to one track will not compete with
papers submitted to the other track.
Track 1: Combinatorial and algorithmic aspects
----------------------------------------------
This track is mainly devoted to fundamental graph drawing advances, such
as combinatorial aspects and algorithm design. The range of topics for
this track includes (but is not limited to):
• Design and analysis of graph drawing algorithms
• Geometric graph theory
• Geometric computing
• Planarity and topological graph theory
• Optimization on graphs
Track 2: Experimental, applied, and network visualization aspects
-----------------------------------------------------------------
This track is mainly devoted to the practical aspects of graph drawing,
such as the development of network visualization systems and interfaces
in different application areas. The range of topics for this track
includes (but is not limited to):
• Visualization of graphs and networks in real world applications,
including big data
• Engineering of network visualization algorithms and systems
• Experimental results in graph theory and algorithms
• Benchmarks and experimental studies of network visualization systems
and user interfaces
• Cognitive studies on graph drawing readability and user interaction
• Interfaces and methods for interacting with graphs
Short papers
------------
In addition to the above two tracks, there will be a separate category
for short papers, describing theoretical or applied contributions of
shorter length. Papers in this category will be assigned a shorter time
for presentation during the conference.
Demos
-----
Authors of applied papers will have the opportunity to show a demo of
their software/system during the poster session.
Submission format
-----------------
All submissions must be formatted using the LaTeX style file for the
conference series Lecture Notes in Computer Science (LNCS) provided by
Springer. The default margins and fonts must not be modified; in
particular, the use of packages such as times.sty is not allowed.
Submissions that do not comply with this format risk rejection without
consideration of their merits. The length of regular papers is limited
to 12 pages (excluding references), while the length of short papers is
limited to 6 pages (excluding references). The claims of the paper
should be fully substantiated, including full proofs or appropriate
experimental data. If this information does not fit within the page
limits, the authors should include it in a clearly marked appendix,
whose length is not constrained and which the reviewers may read at
their own discretion.
POSTERS
-------
Submissions of posters on graph drawing, network visualization, and
related areas are solicited. The poster session will provide a forum
for the communication of late-breaking research results (which may also
appear elsewhere) to the GD community. Authors of posters should prepare
an abstract (up to 2 pages in the LNCS style) that must be submitted
together with the poster itself.
CONTEST
-------
Details about the traditional Graph Drawing Contest held at the
conference will be provided on the conference Web site.
PUBLICATION
-----------
All accepted papers (including the two-page poster abstracts) will
appear in the conference proceedings, published by Springer in the
Lecture Notes in Computer Science (LNCS) series. Twelve pages (excluding
references) will be allocated for regular papers and six pages
(excluding references) for short papers. The LNCS proceedings will be
made freely accessible to the GD community upon publication and openly
accessible to anyone after four years.
Authors will be required to submit their accepted papers to the arXiv
repository, in order to provide immediate and unrestricted open access
to them. The self-archived arXiv papers shall consist of an identical
copy of the LNCS proceedings plus an optional clearly marked appendix,
possibly containing a long version of the entire paper or proofs that
have been omitted from the main text. Subsequent submissions of
different versions of the paper to the arXiv (known as arXiv
``replacements’’) are allowed. Upon submission of the camera-ready
version of an accepted paper, the authors will be required to specify
the arXiv identifier associated with the paper for inclusion in a
conference index, which will be also published in the ArXiv repository.
Failure to comply with these guidelines will impede the publication of
the paper.
Each paper must be presented at the conference by an author (baring
unforeseen circumstances), otherwise the paper will not be included in
the proceedings. Should any visa restriction prevent an author from
attending the conference and presenting a paper, he/she will be given
ways to participate and give the talk via electronic means.
Selected papers from both tracks will be invited for submission to a
special issue of the Journal of Graph Algorithms and Applications
(JGAA). The authors of the best paper in Track 2 will be invited to
submit a substantially extended and enhanced version of their work to
IEEE Transactions on Visualization and Computer Graphics (TVCG).
AWARDS
------
For each of the two tracks, the Program Committee of GD 2017 will give a
Best Paper Award. In addition, to recognize the effort of participants
to present their work and to prepare their posters in a clear and
elegant way, there will be a Best Presentation Award and a Best Poster
Award voted on by the GD 2017 attendees.
IMPORTANT DATES
---------------
• Paper submission deadline: June 11 (23:59 PDT) – Updates
possible until June 13 (23:59 PDT)
• Notification of paper acceptance: July 28
• Poster submission deadline August 17 (23:59 PDT)
• Notification of poster acceptance August 28
• Final versions due September 3
• Contest submission deadline September 13
• Symposium September 25-27
INVITED SPEAKERS
----------------
Timothy M. Chan, University of Illinois at Urbana-Champaign, USA
Alessandro Vespignani, Northeastern University, US
PROGRAM COMMITTEE
-----------------
Daniel Archambault, Swansea University, GB
Benjamin Bach, University of Edinburgh, GB
Fabian Beck, Universität Duisburg-Essen, DE
Michael Bekos, Universität Tübingen, DE
Therese Biedl, University of Waterloo, CA
Giordano Da Lozzo, UC Irvine, US
Vida Dujmovic, University of Ottawa, CA
Stephane Durocher, University of Manitoba, CA
Tim Dwyer, Monash University, AU
Fabrizio Frati (co-chair), Università Roma Tre, IT
Martin Gronemann, Universität zu Köln, DE
John Alexis Guerra Gómez, Universidad de los Andes, CO
Michael Hoffmann, ETH Zürich, CH
Yifan Hu, Yahoo Research, US
Takayuki Itoh, Ochanomizu University, JP
Anna Lubiw, University of Waterloo, CA
Kwan-Liu Ma (co-chair), UC Davis, US
Fabrizio Montecchiani, Università degli Studi di Perugia, IT
Martin Nöllenburg, Technische Universität Wien, AT
Arnaud Sallaberry, LIRMM, FR
Andrew Suk, University of Illinois at Chicago, US
Antonios Symvonis, National Technical University of Athens, GR
Ioannis Tollis, University of Crete, GR
Csaba Tóth, California State University Northridge, US
Alexander Wolff, Universität Würzburg, DE
Jian Zhao, FX Palo Alto Laboratory, US
ORGANIZING COMMITTEE
--------------------
Cody Dunne (co-chair), Northeastern University, US
Alan Keahey (co-chair), Conversant, US
CONTEST COMMITTEE
-----------------
Philipp Kindermann, Universität Würzburg, DE
Maarten Löffler (chair), Utrecht University, NL
Ignaz Rutter, Karlsruhe Institute of Technology, DE
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