[CFP][INNS-BigData 2016] Extended Call for Papers

[INNS-BigData 2016 - Greece]

[Apologies for cross-postings]

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The INNS Big Data conference 2015

October 23-25, 2016, Thessaloniki, Greece

EXTENDED CALL FOR PAPERS

Important Dates have been extended ...... as follows
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Paper Submission June 27, 2016
Paper Decision Notification July 10, 2016
Camera Ready Submission of papers July 17, 2016

Early Registration July 19, 2016
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Homepage: http://conferences.cwa.gr/inns-big-data2016/

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Big data is not just about storage of and access to data. Analytics play a
big role in making sense of that data and exploiting its value. But learning
from big data has become a significant challenge and requires development of
new types of algorithms. Most machine learning algorithms can't easily scale
up to big data. Plus there are challenges of high-dimensionality, velocity
and variety.

The neural network field has historically focused on algorithms that learn
in an online, incremental mode without requiring in-memory access to huge
amounts of data. This type of learning is not only ideal for streaming data
(as in the Industrial Internet or the Internet of Things), but could also be
used on stored big data. Thus, neural network technologies can become
significant components of big data analytics platforms. Following on
successful run of the inaugural INNS-BigData 2015, this second edition of
INNS Conference on Big Data continues on this collaborative adventure with
big data and other learning technologies.

Thus the aim of this conference is to promote new advances and research
directions in efficient and innovative algorithmic approaches to analyzing
big data (e.g. deep networks, nature-inspired and brain-inspired algorithms),
implementations on different computing platforms (e.g. neuromorphic, GPUs,
clouds, clusters) and applications of Big Data Analytics to solve real-world
problems (e.g. weather prediction, transportation, energy management).

Awards
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* Best papers will be selected and awarded as follows:
- Best regular paper
- Best student paper

* This will be based on a combination of reviewers' comments, presentations and importance and quality judged by a panel.

* Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be commemorated by a certificate.

* Students are encouraged to apply for a travel grant sponsored by AI Journal
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Co-Sponsors
* International Neural Network Society (INNS)
* Springer

Keynote Speakers
* Frabcesco Bonchi, Technological Center of Catalunya, Spain
* Steve Furber, University of Manchester, UK
* Rudolf Kruse, OVG University of Magdeburg, Germany
* Pitor Mirowski, Google Deep Mind, UK

Advisory Board
* Walter Freeman, University of California, Berkeley, USA
* Ali Minai, University of Cincinnati, USA
* Danil Prokhorov, Toyota Tech Center
* Theodore Trafalis, University of Oklahoma, USA
* Kumar Venayagamoorthy, Clemson University, USA
* Bernard Widrow, Stanford University, USA

General Chairs
* Plamen Angelov, Lancaster University, UK
* Yannis Manolopoulos, Aristotle University, Greece

PC Chairs
* Lazaros Iliadias, Democritus University, Greece
* Asim Roy, Arizona State University, Tempe, USA
* Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil

Special Sessions Chairs
* Alessandro Ghio, University of Genoa, Italy
* Irwin King, Chinese University of Hong Kong, China

Tutorials/Workshops Chair
* Nikola Kasabov, Auckland Universitty of Technology, New Zealand
* Bernardete Ribeiro, University of Coimbra, Portugal

Poster Session Chairs
* Yi Lu Murphy, University of Michigan-Dearborn, USA
* Liang Zhao, University of Sao Paulo, Brazil

Awards Chari
* Araceli Sanchis de Miguel, Carlos III University, Spain

Competitions Chair
Adel Alimi, University of Sfax, Tunisia

Panel Chair
* Leonid Perlovsky, Harvard University, Boston, USA

Sponsors/Exhibit Chairs
* James Dankert, BAE Systems, USA
* Rosemary Paradis, Lockheed Martin, USA

Publication Chairs
* Danilo Mandic, Imperial College, London, UK
* Mariette Awad, American University of Beirut, Lebanon

International Liaison
* De-Shuang Huang, Tongji University, Shanghai, China
* Petia Georgieva, University of Aveiro, Portugal

Publicity Chairs,
* Teng Teck Hou, Singapore Management University, Singapore
* Simone Scardapane, The Sapienza University of Rome, Italy
* Jose Antonio Iglesias Martinez, Carlos III University, Spain

Paper Submission and Publication
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* Original works submitted as a regular paper limited to a maximum of 10 pages in IEEE 2-column format will be published in the proceedings.

* It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity.

* At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference.

* Accepted papers will be published in the conference proceedings by Springer.

Special Issue:
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* Selected INNS Big Data 2016 papers will be considered for publication in a Special Issue of the Big Data Research journal by Elsevier.
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Accepted Tutorials
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1. Dr. Luca Oneto and Dr. Davide Anguita DIBRIS, University of Genoa, Italy
Title: Model Selection and Error Estimation Without the Agonizing Pain

2. Giacomo Boracchi, Ph.D. Associate Professor Department of Electronics and Informatics, Politecnico di Milano, Italy
Title: Change Detection in Data Streams: Big Data Challenges

3. Prof. Spiros Likothanassis and Dr. Christos Alexakos, Pattern Recognition Lab, Dept. of Computer Engineering & Informatics, University of Patras, Greece
Title: Preprocessing and Analyzing TMT Proteomics 'Big Data' Using Computational Intelligence Techniques

4. Elizabeth Behrman and James Steck, Wichita State University, Wichita, USA
Title: "Machine Learning in Quantum Computing: Applications to Big Data"

5. Apostolos Papadopoulos and Gounaris, Department of Computer Science, Aristotle University of Thessaloniki, Greece
Title: "The Spark Engine"

6. Damianos Chatziantoniou Athens University of Economics and Business (AUEB). Department: Department of Management Science and Technology, Greece
Title: "Federation and Interoperability in Big Data Systems"
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Accepted Workshops
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1. Scalable Machine Learning
2. Intelligent Transportation Systems and Big Data
3. Workshop on Big Data in Bioinformatics
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Topics and Areas include, but not limited to:
* Autonomous, online, incremental learning - theory, algorithms and applications in big data
* High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data
* Scalable algorithms for big data
* Learning algorithms for high-velocity streaming data
* Big data streams analytics
* Deep neural network learning
* Machine vision and big data
* Brain-machine interfaces and big data
* Cognitive modeling and big data
* Embodied robotics and big data
* Fuzzy systems and big data
* Evolutionary systems and big data
* Evolving systems for big data analytics
* Neuromorphic hardware for scalable machine learning
* Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.)
* Big data and collective intelligence/collaborative learning
* Big data and hybrid systems
* Big data and self-aware systems
* Big Data and infrastructure
* Big data analytics and healthcare/medical applications
* Big data analytics and energy systems/smart grids
* Big data analytics and transportation systems
* Big data analytics in large sensor networks
* Big data and machine learning in computational biology, bioinformatics
* Recommendation systems/collaborative filtering for big data
* Big data visualization
* Online multimedia/ stream/ text analytics
* Link and graph mining
* Big data and cloud computing, large scale stream processing on the cloud

************** comp.robotics.research (moderated) **************
Summary: Academic, government & industry research in robotics.
Archives and information: http://www.metamech.com/crr
Charter: http://www.metamech.com/crr/Charter
Meta-discussions/information: crr-r...@metamech.com

[UKCI 2016 - Lancaster]

[Apologies for cross-postings]

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CALL FOR PAPERS

The 16th Annual UK Workshop on Computational Intelligence, UKCI-2016

September 7-9, 2016, Lancaster, United Kingdom

http://wp.lancs.ac.uk/ukci2016/
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The 16th Annual UK Workshop on Computational Intelligence, UKCI-2016 this year
is being hosted by Lancaster University. UKCI is the premier UK event for
presenting leading research on all aspects of Computational Intelligence. The
aim of this Workshop is to provide a forum for the academic community and
industry to share ideas about developing and using Computational Intelligence
(CI) techniques, the new trends and to exchange views and ideas.

CI is a rapidly expanding research field, attracting a large number of
scientists, engineers and practitioners working in areas such as fuzzy
systems, neural networks, evolutionary computation, evolving systems and
machine learning. A growing number of companies are employing CI techniques to
improve previous solutions and to deal with new problems. These include evolving
systems that allow high performance in spite of changes which are either external
or internal to the system, thereby increasing the re-usability of developed
systems. This also include smart, intelligent and autonomous systems, self-learning,
self-adapting, self-calibrating and self-tuning.

UKCI-2016 will take place in Lancaster House Hotel, located conveniently within
the campus of Lancaster University, few miles from the city centre including
Lancaster Castle. The city offers excellent transport links, with easy access
to the M6, railway station and ferry links. Beyond the array of activities
within the city, Lancaster is close to Britain's premier tourist area - Lake
District, and is home to theatres, museums, Ashton Memorial and Williamson park.

#################### Important dates #####################
- Paper submission: June 30th, 2016
- Notification of paper acceptance: July 15th, 2016
- Camera-ready submission: July 31st, 2016
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#################### Plenary speakers ####################
- Jose Principe, Distinguished Professor, University Of Florida, USA

- Trevor Martin, Bristol University and Senior Researcher, British Telecom
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#################### Organizing committees ###############
* Honorary Chair
- Prof. Janusz Kacprzyk, Fellow Polish Academy of Sciences

* General Chair
- Prof. Plamen Angelov, Lancaster University

* Programme Chairs
- Prof. Qiang Shen, Aberystwyth University
- Prof. Chrisina Jane, Robert Gordon University

* Publication Chair
- Dr. Alexander Gegov, Portsmouth University

* International Liaison
- Ms Azliza Mohd Ali, Lancaster University

* Finance Chair
- Ms Carol Airey, Lancaster University

* Local Organisation Chairs
- Dr. John Mariani, Lancaster University
- Mr Richard Gnosill, Lancaster University

* Publicity Chair
- Dr. Teng Teck Hou, Singapore Management University
- Dr. Jose Antonio Iglesias, Carlos III University of Madrid, Spain

* Awards Chair
- Prof. Araceli Sanchis de Miguel, Carlos III University, Spain

* Special Session Chair
- Prof. Ahmad Lotfi, Nottingham Trent University
- Dr. Xiao Jun Zeng, Manchester University
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############# Paper Submission and Publication ###########
* Papers for UKCI 2016 should be submitted electronically through the
Conference website at http://www.lancaster.ac.uk/fas/scc/sites/ukci2016/, and
will be refereed by experts in the fields and ranked based on the criteria of
originality, significance, quality and clarity.

* Selected papers will be considered for publication, following substantial
extension, in a Special Issue of the Soft Computing Journal (Springer).
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#################### Awards ##############################
* A best regular paper and a best student paper will be selected for this award

* This best paper award consists of a plaque and a EUR200 honorarium

* The best paper awards are sponsored by Springer
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###### Topics and Areas include, but not limited to ######
Topics of interest include (but are not limited to)

* Computational intelligence methodology
* Computational intelligence for big data
* Making Sense from Data (streams)
* Knowledge representation
* Fuzzy logic, fuzzy systems, approximate reasoning;
* New Machine Learning Methodologies
* Artificial Neural Networks
* Evolutionary computation, swarm intelligence, artificial immune systems, memetic computing, Nature-inspired computing
* New and emerging computational intelligence approaches from hybrid learning and systems, molecular and quantum computing
* Software agents and multi-agent systems, intelligent control
* Intelligent Video Analytics
* Applications of computational intelligence techniques in engineering, healthcare, finances, (cyber)security, signal, image and video processing
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#################### Call for Special Session Proposals #########################
* UKCI-2016 will retain its traditional format of a single track with special sessions on selected "hot" topics.

* Please email proposals for special sessions to ukci...@lancaster.ac.uk by 4th January 2016
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#################### Co-Sponsors #########################
* Springer
* Department of Engineering and the School of Computing
and Communications, Lancaster University
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