Call for Papers to IEEE TFS 2015 Special Issue on Brain Computer Interface (BCI)

The submission deadline has been extended from October 1, 2015 to November 1, 2015

I. AIMS AND SCOPE

Brain computer interfaces (BCIs) have attracted rapidly increasing research interest in the last decade, thanks to recent advances in neurosciences, wearable/mobile biosensors, and analytics. However, there are many challenges in the transition from their laboratory settings to real-life applications, including the reliability and convenience of the sensing hardware, the availability of high-performance and robust algorithms for signal analysis and interpretation, and fundamental advances in automated reasoning that enable the reasoning and generalization across individuals.

Computational intelligence techniques, particularly fuzzy sets and systems, have demonstrated superior performance in handling uncertainties in many real-world applications. They have also started attracting more attentions in the BCI domain. More specifically, fuzzy sets and systems have been used in electroencephalogram (EEG) feature extraction (e.g., self-organizing fuzzy neural networks, fuzzy region of interest, fuzzy wavelet packet), pattern recognition (e.g., fuzzy ARTMAP, type-1 and type-2 fuzzy logic systems, fuzzy-neural systems, fuzzy c-means clustering, fuzzy integrals, fuzzy SVM, fuzzy similarity, rough sets), optimization (e.g., fuzzy particle swarm optimization), etc..

This special issue aims at showcasing the most exciting and recent advances in fuzzy sets and systems for BCI and related topics. It welcomes survey, position, research, and application papers.

II. TOPICS COVERED

The topics include but are not limited to:

• Fuzzy control for BCI
• Fuzzy signal processing for BCI/EEG/ ECoG/ MEG/MRI
• Fuzzy feature extraction for BCI/EEG/ ECoG/ MEG/MRI
• Fuzzy pattern recognition (classification, regression) for BCI/EEG/ ECoG/MEG/MRI
• Fuzzy sets and systems for handling uncertainties and individual differences in BCI
• Fuzzy approaches applied to data fusion of EEG with other physiological and contextual sensing modalities
• Hybrid approaches that combine fuzzy sets and systems with machine learning, data mining, or other computational intelligence techniques for BCI

III. IMPORTANT DATES

• November 1, 2015: Submission deadline
• January 1, 2016: Notification of 1st round review
• February 1, 2015: Revised submission due
• April 1, 2016: Final notice of acceptance/reject
• August 2016: Special issue publication

IV. SUBMISSION GUIDELINES

Manuscripts should be prepared according to the instruction of the “Information for Authors” section of the journal found and submission should be done through the IEEE TFS journal website: http://mc.manuscriptcentral.com/tfs-ieee.  Clearly mark “Special Issue on Brain Computer Interfaces” in your cover letter to the Editor-in-Chief.  All submitted manuscripts will be reviewed using the standard procedure that is followed for regular submissions.

V. GUEST EDITORS

Dr. Dongrui Wu
DataNova, USA
drwu09@gmail.com

Dr. Brent Lance
Translational Neuroscience Branch
Army Research Laboratory, USA
brent.j.lance.civ@mail.mil

Dr. Vernon Lawhern
Translational Neuroscience Branch
Army Research Laboratory, USA
vernon.j.lawhern.civ@mail.mil

Call for Papers IEEE Computational Intelligence Magazine Special Issue on Model Complexity, Regularization and Sparsity

http://home.deib.polimi.it/boracchi/events/ModelComplexity.html

Aims and Scope

The effective management of solution complexity is one of the most important issues in addressing Computational Intelligence problems. Regularization techniques control model complexity by taking advantage of some prior information regarding the problem at hand, represented as penalty expressions that impose these properties on the solution. Over the past few years, one of the most prominent and successful types of regularization has been based on the sparsity prior, which promotes solutions that can be expressed as a linear combination of a few atoms belonging to a dictionary. Sparsity can in some sense be considered a measure of simplicity and, as such, is compatible with many nature-inspired principles of Computational Intelligence. Nowadays, sparsity has become one of the leading approaches for learning adaptive representations for both descriptive and discriminative tasks, and has been shown to be particularly effective when dealing with structured, complex and high-dimensional data.

Regularization, including sparsity and other priors to control the model complexity, is often the key ingredient in the successful solution of difficult problems; it is therefore not surprising that these aspects have also recently gained a lot of attention in big-data processing, due to unprecedented challenges associated with the need to handle massive datastreams that are possibly high-dimensional and organized in complex structures.

This special issue aims at presenting the most relevant regularization techniques and approaches to control model complexity in Computational Intelligence. Submissions of papers presenting regularization methods for Neural Networks, Evolutionary Computation or Fuzzy Systems, are welcome. Submissions of papers presenting advanced regularization techniques in specific, but relevant, application fields such as data/datastream-mining, classification, big-data analytics, image/signal analysis, natural-language processing, are also encouraged.

Topics of Interest

• Regularization methods for big and high-dimensional data;
• Regularization methods for supervised and unsupervised learning;
• Regularization methods for ill-posed problems in Computational Intelligence;
• Techniques to control model complexity;
• Sparse representations in Computational Intelligence;
• Managing model complexity in data analytics;
• Effective priors for solving Computational Intelligence problems;
• Multiple prior integration;
• Regularization in kernel methods and support vector machines.

Important Dates

• 22nd January, 2016: Submission of Manuscripts
• 30th March, 2016: Notification of Review Results
• 30th April, 2016: Submission of Revised Manuscripts
• 15th June, 2016: Submission of Final Manuscripts
• November, 2016: Special Issue Publication

Submission Process

The maximum length for the manuscript is typically 20 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts the corresponding author's contact and up to 5 keywords. Additional information about submission guidelines and information for authors is provided at the IEEE CIM website.

Submission should be made via at https://easychair.org/conferences/?conf=ieeecim1116

Guest Editors

Prof. Cesare Alippi,
Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano,
via Ponzio 34/5, Milano, 20133, Italy
email: cesare.alippi@polimi.it

Dr. Giacomo Boracchi,
Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano,
via Ponzio 34/5, Milano, 20133, Italy
email: giacomo.boracchi@polimi.it

Dr. Brendt Wohlberg,
Theoretical Division, Los Alamos National Laboratory,
Los Alamos NM 87545, USA
email: brendt@lanl.gov

Call for Papers WCCI 2016 Special Session Computational Intelligence in Ecological Informatics and Environmental Modelling

Aim

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. The amount of data describing global and local environments and the eco-systems that inhabit them is rapidly increasing. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling. This is a highly topical area and is open to a broad array of methods from the field of computational intelligence.

Scope

The scope of the special session includes, but is not limited to, the following topics:

• Species distribution and ecological niche modelling
• Predicting species abundance
• Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
• Analysis of species assemblages
• Classification of species
• Environmental impact assessment
• Modelling of environmental events including floods
• Issues in the preparation of ecological data for modelling
• Modelling of pollutants or contamination in air, land or water
• Modelling water quality
• Greenhouse gas emissions modelling and the effects of climate change
• Modelling the future development of populations
• Detecting landscape features
• Modelling water drainage systems
• Assessment of habitat quality
• Forecasting of algal blooms
• Habitat suitability modelling
• Predicting crop hazards, pests or diseases
• Modelling interactions between multiple species
• Identifying landscape features
• Modelling ecosystem biomass
• Learning of phenological patterns

 

Important Dates

• Paper submission deadline: 15th January 2016
• Author notification: 15th March 2016
• Deadline for final manuscript: 15th April 2016
• Early registration deadline: 15th April 2016
• Conference dates: 25th July-29th July 2016

Paper Submission As this is a cross-disciplinary special session, please submit papers via the IEEE CEC 2016 submission site: http://ieee-cis.org/conferences/cec2016/upload.php Please make sure you select "Computational Intelligence in Ecological Informatics and Environmental Modelling" under "Cross-Disciplinary and CI Applications Special Sessions" as the Main Research Topic of your submission. Accepted papers will be published in the conference proceedings that are most appropriate for the paper (IJCNN, FUZZ-IEEE or CEC). This decision will be made by the Special Session Organisers in consultation with the Special Session Chair and one of the three Conference Chairs.

 

Organisers

• Dr Michael J. Watts, Auckland Institute of Studies, Auckland, New Zealand. mjwatts@ieee.org
• Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

 

Dr Michael J. Watts

Dr Michael J. Watts (Senior Member, IEEE) is the Academic Head of Programme for Information Technology at Auckland Institute of Studies, Auckland, New Zealand. His research interests are in the areas of ecological informatics, neural networks, neuro-fuzzy systems, and evolutionary algorithms. He is particularly interested in the intersections of these areas, where computational intelligence methods can be applied to ecological informatics. He has published more than 70 peer-reviewed papers in a range of international journals and conferences on a variety of topics, particularly computational intelligence and ecological informatics. He is currently on the editorial boards of the Springer journal Soft Computing and the IEEE Transactions on Neural Networks and Learning Systems. He teaches basic database engineering, fundamentals of programming, data mining and information security and serves on a number of committees of the IEEE Computational Intelligence Society including the Neural Networks Technical Committee and the Standards Committee.

 

Professor Jie Yang

Jie Yang is the Professor and Director of the Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University, where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence, including two national 973 research plan projects, three national 863 research plan projects, three National Nature Foundation projects, five international cooperative projects with France, Korea, Japan, New Zealand. He has published four books and more than four hundred articles in national or international academic journals and conferences. Up to now, he has supervised 4 postdoctoral, 32 doctors and 55 masters, and been awarded five research achievement prizes from ministry of Education, China and Shanghai municipality. One Ph.D. dissertation he supervised was evaluated as "National Best Ph.D. Dissertation" in 2009. Two Ph.D. dissertations he supervised were evaluated as "Shanghai Best Ph.D. Dissertation" in 2009 and 2010. He has owned 25 patents.

Call for participation: IEEE DSAA’2015

IEEE 2015 International Conference on Data Science and Advanced Analytics
(IEEE DSAA'2015)
19-21 October, 2015, Paris, France
Website: http://dsaa2015.lip6.fr/

Highlights

DSAA2015 will feature

• 31 main track Long presentations (acceptance rate 9%) and 50 main track Short presentations (acceptance rate 14.7%)
• 4 keynote speeches to be delivered by prestigious academic and industry leaders, 
• 7 invited prestigious speakers about the trends and controversies of data science and big data analytics, 
• 8 special sessions on emerging interesting data science and analytics topics, consisting of 43 special session presentations
• the Application track, an industry session and exhibitions to highlight the best practices and industry applications, and 
• a panel jointly held with IEEE Big Data Initiative will include high profile panelists from data science, big data, computational intelligence, data mining, machine learning, statistics etc.

Technical Sessions

DSAA'2015 consists of the following main and special session tracks:

• Research Track
• Applications Track
• Industry session
• Special Session on Trends & Controversies in Data Science (TCDS, by invitation only)
• Special Session on Big Behavioral Data Analytics (BBDA)
• Special Session on Big Data, Distributed Technologies and Intelligent Agents (BDIA)
• Special Session on Bioinformatics, Health and Medical Analytics (BHMA)
• Special Session on Data Oriented Constructive Mining and Multi-Agent Simulation (DOCMAS)
• Special session on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData)
• Special Session on Environmental and Geo-spatial Data Analytics (EnGeoData)
• Special Session on Exploratory Computing (EC)
• Special Session on Statistical and Mathematical Tools for Data Science (SMTDS)
• Exhibitions

Registrations

Early-bird registration due: 2 October, 2015
Website: http://dsaa2015.lip6.fr/

Website & Enquiries

DSAA'2015: http://dsaa2015.lip6.fr/
Contacts:  dsaa2015@dsaa.co

Call for Papers WCCI 2016 Special Session: "Computational Intelligence in Bioinformatics (CIB)"

Aim:

Bioinformatics, computational biology, and bioengineering present a number of complex problems with large search spaces. Recent applications of Computational Intelligence (CI) in this area suggest that they are well-suited to this area of research. This special session will highlight applications of CI to a broad range of topics. Particular interest will be directed towards novel applications of CI approaches to problems in these areas. The scope of this special session includes evolutionary computation, neural computation, fuzzy systems, artificial immune systems, swarm intelligence, ant-colony optimization, simulated annealing, and other CI methods or hybridizations between CI approaches. Applications of these CI methods to bioinformatics, computational biology, and bioengineering problems are the main focus of this hybrid special session. There is a clear interest in both the Computational Intelligence community and Biology communities for this special session. This hybrid special session is sponsored by the IEEE CIS BBTC (Computational Intelligence Society - Bioinformatics and Bioengineering Technical Committee).

Main Topics:

Analysis and visualization of large biological data sets, biological and medical ontologies, biomedical data modelling and mining, biomedical model parameterization, brain computer interface, computational proteomics, systems biology, ecoinformatics and applications to ecological data analysis, emergent properties in complex biological systems, gene expression array analysis, gene finding, genetic networks, high-throughput data analysis, immuno- and chemo-informatics, in-silico optimization of biological systems, medical image analysis, medical imaging and pattern recognition, medicine and health informatics, metabolic pathway analysis, microarray design or oligonucleotide selection, modelling, simulation and optimization of biological systems, molecular docking and drug design, molecular evolution and phylogenetics, molecular sequence alignment and analysis, motif and signal detection, robustness and evolvability of biological networks, single nucleotide polymorphism (SNP) analysis, structure prediction and folding, systems and synthetic biology, and treatment optimization.

Paper submission:

The special session on Computational Intelligence in Bioinformatics is soliciting high quality papers of original research and application papers that have not been published elsewhere and are not under consideration for publication elsewhere. Manuscripts should be prepared according to the standard format and page limit of regular papers specified in the WCCI 2016 website. All papers will be rigorously reviewed by at least two reviewers. Accepted papers will be treated in the same way as regular papers and published in the WCCI 2016 conference proceedings.

Short Biography of the Organizers:

Vassilis Plagianakos
Department of Computer Science and Biomedical Informatics
University of Thessaly, Greece

Roberto Tagliaferri
Department of Computer Science
University of Salerno, Italy

Short CVs

Vassilis Plagianakos received both his B.Sc. and Ph.D. degrees in Mathematics from the University of Patras, Greece. He is currently Assistant Professor and Head of the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. His research interests are mainly focused on the areas of neural networks and machine learning, applications in pattern recognition, intelligent decision making, evolutionary and genetic algorithms, parallel and distributed computations, bioinformatics, clustering, intelligent optimization, and real-world problem solving. He has published more than 30 journal and 70 conference papers, and his published work has received more than 700 citations. He serves as a reviewer in numerous journals and conferences. He was a co-organizer of the bioinformatics hybrid special sessions at WCCI 2012 and WCCI 2014. He is an IEEE CIS BBTC member.

Roberto Tagliaferri is full professor in Computer Science at the University of Salerno. He has had courses in Computer Architecture, Artificial and Computational Intelligence, and Bioinformatics for computer scientists and biologists. He has been co-organizer of international workshops, special sessions and schools on Neural Nets, Computational Intelligence and Bioinformatics and co-editor of 18 books and of 5 Special Issues on International Journals. His research activity has been oriented to Computational Intelligence models and applications in the areas of Astrophysics, Biomedicine and Bioinformatics. His activity produced more than 150 scientific papers published on international journals or proceedings of international conferences with referee. He is an IEEE CIS BBTC member and Chair of the Italy Chapter of the IEEE CIS. He is associate editor of the IEEE Transactions on Cybernetics and of the BMC journal Source Code for Biology and Medicine.

IEEE Transactions on Computational Intelligence and AI in Games, Volume 7, Number 3, September 2015

1. The Age of Analytics
Author(s): Bauckhage, C.; Drachen, A.; Thurau, C.
Page(s): 205 - 206

2. An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games
Author(s): Harrison, B.; Roberts, D.L.
Page(s): 207 - 219

3. Detecting Predatory Behavior in Game Chats
Author(s): Cheong, Y.-G.; Jensen, A.K.; Gudnadottir, E.R.; Bae, B.-C.; Togelius, J.
Page(s): 220 - 232

4. Player Preference and Style in a Leading Mobile Card Game
Author(s): Cowling, P.I.; Devlin, S.; Powley, E.J.; Whitehouse, D.; Rollason, J.
Page(s): 233 - 242

5. Thinking Style and Team Competition Game Performance and Enjoyment
Author(s): Wang, H.; Yang, H.-T.; Sun, C.-T.
Page(s): 243 - 254

6. Churn Prediction in Online Games Using Players’ Login Records: A Frequency Analysis Approach
Author(s): Castro, E.G.; Tsuzuki, M.S.G.
Page(s): 255 - 265

7. Clustering Game Behavior Data
Author(s): Bauckhage, C.; Drachen, A.; Sifa, R.
Page(s): 266 - 278

8. Postprocessing Gameplay Metrics for Gameplay Performance Segmentation Based on Audiovisual Analysis
Author(s): Marczak, R.; Schott, G.; Hanna, P.
Page(s): 279 - 291

9. Past Our Prime: A Study of Age and Play Style Development in Battlefield 3
Author(s): Tekofsky, S.; Spronck, P.; Goudbeek, M.; Plaat, A.; van den Herik, J.
Page(s): 292 - 303

10. On Learning From Game Annotations
Author(s): Wirth, C.; Furnkranz, J.
Page(s): 304 - 316

IJCNN/WCCI 2016 Call For Special Sessions

IJCNN/WCCI 2016
25-29, July, 2016
Vancouver, Canada
http://www.wcci2016.org

Special session proposals for are invited to the 2016 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks (WCCI/IJCNN). Special session proposals should include the title, aim and scope (including a list of main topics), and the names of the organizers of the special session, together with a short biography of all organizers. A list of potential contributors will be very helpful.

Special session proposals will be evaluated based on the timeliness, uniqueness of the topic and qualifications of the proposers. The proposers are expected to have a PhD degree and have a good publication track record in the proposed area. After review, a decision on whether the proposal will be provisionally accepted will be sent to the proposers within two weeks after receipt of the proposals. Provisionally accepted special sessions will be listed on the website. However, it is likely that a provisionally accepted proposal will be combined with another one to avoid multiple special sessions covering a similar topic.

Manuscripts submitted to special sessions should be done through the paper submission website of IEEE WCCI 2016. It is the responsibility of the special session organizers to make sure that papers submitted to their special session clearly indicate the name of the special session the paper belongs to. All papers submitted to special sessions will be subject to the same peer-review procedure as the regular papers. Special sessions having fewer than four accepted papers will be cancelled and the accepted papers will be moved to regular sessions.

Special sessions proposals should be submitted to ijcnn16ss@gmail.com