1. Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System
Author(s): Hu, W. ; Yen, G.G.
Page(s): 1 - 18
2. Characterization of the Performance of Memetic Algorithms for the Automation of Bone Tracking With Fluoroscopy
Author(s): Tersi, L. ; Fantozzi, S. ; Stagni, R.
Page(s): 19 - 30
3. Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator
Author(s): Guo, S. ; Yang, C.
Page(s): 31 - 49
4. A New Local Search-Based Multiobjective Optimization Algorithm
Author(s): Chen, B. ; Zeng, W. ; Lin, Y. ; Zhang, D.
Page(s): 50 - 73
5. Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content
Author(s): Munoz, M.A. ; Kirley, M. ; Halgamuge, S.K.
Page(s): 74 - 87
6. Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
Author(s): Branke, J. ; Greco, S. ; Slowinski, R. ; Zielniewicz, P.
Page(s): 88 - 102
7. The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems
Author(s): Fieldsend, J.E. ; Everson, R.M.
Page(s): 103 - 117
8. Optimizing Existing Software With Genetic Programming
Author(s): Langdon, W.B. ; Harman, M.
Page(s): 118 - 135
9. History-Based Topological Speciation for Multimodal Optimization
Author(s): Li, L. ; Tang, K.
Page(s): 136 - 150
10. Intelligent Bandwidth Estimation for Variable Bit Rate Traffic
Author(s): Khan, G.M. ; Arshad, R. ; Mahmud, S.A. ; Ullah, F.
Page(s): 151 - 155
News and announcements from the IEEE Computational Intelligence Society
Friday, 30 January 2015
Saturday, 24 January 2015
Call for Papers: IEEE WCCI 2016
The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2016 will host three conferences: The 2016 International Joint Conference on Neural Networks (IJCNN 2016), the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2016), and the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over theworld to discuss and present their research findings on computational intelligence.
IEEE WCCI 2016 will be held at the Vancouver Convention Centre, Vancouver, Canada. Vancouver is Canada’s Pacific gem, offering a winning combination of world-class hotels, meeting venues, and restaurants in a setting of spectacular beauty. Few convention cities can offer such a wide range of cosmopolitan amenities in a downtown core that is safe, clean, pedestrian friendly, and stunning in its backdrop of mountains and ocean.
IJCNN is the flagship conference of the International Neural Network Society and the IEEE Computational Intelligence Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.
FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.
IEEE CEC is a major event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.
Kay Chen Tan, Singapore
Gary G. Yen, USA
IJCNN Conference Chair
Pablo A. Estevez, Chile
IJCNN Technical Chairs
Plamen P. Angelov, UK
Emilio Del Moral Hernandez, Brazil
Derong Liu, USA
Lipo Wang, Singapore
FUZZ-IEEE Conference Chair
Oscar Cordon, Spain
FUZZ-IEEE Technical Chairs
James M. Keller, USA
Naoyuki Kubota, Japan
Bernadette R. Bouchon Meunier, France
Nikhil R. Pal, India
CEC Conference Chair
Yew Soon Ong, Singapore
CEC Technical Chairs
Carlos A. Coello Coello, Mexico
Garrison W. Greenwood, USA
Sanaz Mostaghim, Germany
Yuhui Shi, China
Competitions Chair
Simon M. Lucas, UK
Conflict-of-Interest Paper Chairs
Cesare Alippi, Italy
Gary B. Fogel, USA
Hisao Ishibuchi, Japan
Exhibits Chair
Fakhri Karray, Canada
Finance Chair
Haibo He, USA
Local Arrangements Chair
Yifeng Li, Canada
Panel Sessions Chair
Marios M. Polycarpou, Cyprus
Paper Submissions Chair
Ke Tang, China
Plenary Sessions Chair
Chin-Teng Lin, Taiwan
Poster Sessions Chairs
Jong-Hwan Kim, South Korea
Laszlo T. Koczy, Hungary
Yi Zhang, China
Publications Chair
Hussein A. Abbass, Australia
Publicity Chairs
Rami Abielmona, Canada
Valentina E. Balas, Romania
Min Jiang, China
Xiaodong Li, Australia
Dongbin Zhao, China
Registrations Chair
Yaochu Jin, UK
Special Sessions Chairs
Uzay Kaymak, Netherlands
Mengjie Zhang, New Zealand
Zhi-Hua Zhou, China
Student Activities Chair
Dipti Srinivasan, Singapore
Tutorials Chairs
Kalyanmoy Deb, USA
Hani Hagras, UK
Nikola Kasabov, New Zealand
Workshops Chair
Piero P. Bonissone, USA
IEEE WCCI 2016 will be held at the Vancouver Convention Centre, Vancouver, Canada. Vancouver is Canada’s Pacific gem, offering a winning combination of world-class hotels, meeting venues, and restaurants in a setting of spectacular beauty. Few convention cities can offer such a wide range of cosmopolitan amenities in a downtown core that is safe, clean, pedestrian friendly, and stunning in its backdrop of mountains and ocean.
IJCNN is the flagship conference of the International Neural Network Society and the IEEE Computational Intelligence Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.
FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.
IEEE CEC is a major event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.
Call for Papers
Papers for IEEE WCCI 2016 should be submitted electronically through the Congress website at www.wcci2016.org, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity.Call for Tutorials
IEEE WCCI 2016 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs.Call for Special Session Proposals
IEEE WCCI 2016 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research areas are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs.Call for Competition Proposals
IEEE WCCI 2016 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chair.Important Dates
- Special Session & Workshop Proposals Deadline: 15 November 2015
- Competition & Tutorial Proposals Deadline: 15 December 2015
- Paper Submission Deadline: 15 January 2016
- Paper Acceptance Notification Date: 15 March 2016
- Final Paper Submission & Early Registration Deadline: 15 April 2016
- IEEE WCCI 2016: 25-29 July 2016
Organizing Committee
General Co-ChairsKay Chen Tan, Singapore
Gary G. Yen, USA
IJCNN Conference Chair
Pablo A. Estevez, Chile
IJCNN Technical Chairs
Plamen P. Angelov, UK
Emilio Del Moral Hernandez, Brazil
Derong Liu, USA
Lipo Wang, Singapore
FUZZ-IEEE Conference Chair
Oscar Cordon, Spain
FUZZ-IEEE Technical Chairs
James M. Keller, USA
Naoyuki Kubota, Japan
Bernadette R. Bouchon Meunier, France
Nikhil R. Pal, India
CEC Conference Chair
Yew Soon Ong, Singapore
CEC Technical Chairs
Carlos A. Coello Coello, Mexico
Garrison W. Greenwood, USA
Sanaz Mostaghim, Germany
Yuhui Shi, China
Competitions Chair
Simon M. Lucas, UK
Conflict-of-Interest Paper Chairs
Cesare Alippi, Italy
Gary B. Fogel, USA
Hisao Ishibuchi, Japan
Exhibits Chair
Fakhri Karray, Canada
Finance Chair
Haibo He, USA
Local Arrangements Chair
Yifeng Li, Canada
Panel Sessions Chair
Marios M. Polycarpou, Cyprus
Paper Submissions Chair
Ke Tang, China
Plenary Sessions Chair
Chin-Teng Lin, Taiwan
Poster Sessions Chairs
Jong-Hwan Kim, South Korea
Laszlo T. Koczy, Hungary
Yi Zhang, China
Publications Chair
Hussein A. Abbass, Australia
Publicity Chairs
Rami Abielmona, Canada
Valentina E. Balas, Romania
Min Jiang, China
Xiaodong Li, Australia
Dongbin Zhao, China
Registrations Chair
Yaochu Jin, UK
Special Sessions Chairs
Uzay Kaymak, Netherlands
Mengjie Zhang, New Zealand
Zhi-Hua Zhou, China
Student Activities Chair
Dipti Srinivasan, Singapore
Tutorials Chairs
Kalyanmoy Deb, USA
Hani Hagras, UK
Nikola Kasabov, New Zealand
Workshops Chair
Piero P. Bonissone, USA
Friday, 23 January 2015
Call for Papers: Special Session at IJCNN 2015 on Neuro-Adaptive Systems for Big Data and Social Media Analysis
The ever increasing aspect of social networking and deployment of advanced digital sensors, to gather data particularly with high social content has interesting dimensions to be explored. The content variation in the data/media streams poses a challenging task to the data scientists in terms of adaptability required to capture the sense and context of the problem being addressed. The adaptability thus required has to cater multi-faceted issues. These issues pertain to considerations related to the 4V’s of Big Data (Volume, Variety, Velocity and Veracity).
The neuro-adaptive systems have been used in the past to capture the variation and to incorporate adaptiveness within the systems. The aim of this special session is to solicit contributions that are based on statistical learning, lazy learning, artificial neural networks, fuzzy logic based, evolutionary, genetic, knowledge system and adaptive algorithms designed to focus on Big Data, Social Media Analytics especially in the context of the topics listed for the special session.
Topics of interest include, but are not limited to:
Paper decision notification: March 25, 2015
Camera-ready submission: April 25, 2015
Conference days: July 12-17, 2015
Please make sure to select the Special Session (SS24) under "S. SPECIAL SESSION TOPICS" in the "Main Research topic" drop-down list. Templates and detailed instructions for authors can be found at http://www.ijcnn.org/paper-submission. All papers submitted to the special session will be subject to the same peer-review procedure as regular papers. Accepted papers will be published in the conference proceedings.
Department of Computer Science, Syed Babar Ali School of Science and Engineering, LUMS, Pakistan
Email: awais@lums.edu.pk
http://lums.edu.pk/faculty-details.php/awais
El-Sayed M. El-Alfy
Intelligent Systems Research Group, College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia.
Email: alfy@kfupm.edu.sa
http://faculty.kfupm.edu.sa/ics/alfy/
Paolo Rosso
Natural Language Engineering Lab, PRHLT Research Center, Universitat
Politècnica de València, Spain.
Email: prosso@dsic.upv.es
http://users.dsic.upv.es/~prosso/
Farookh K. Hussain
Associate Professor,Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Australia
Email: farookh.hussain@uts.edu.au
www.uts.edu.au
Omer F Rana
Professor, Computer Science & Informatics,
Cardiff University, Queen's Buildings,5 The Parade, Roath,
Cardiff CF24 3AA, UK
Email: O.F.Rana@cs.cardiff.ac.uk
Francisco Rangel
CTO at Autoritas Consulting
Personal site: http://www.kicorangel.com
Company site: http://www.autoritas.net
Email: francisco.rangel@autoritas.es
The neuro-adaptive systems have been used in the past to capture the variation and to incorporate adaptiveness within the systems. The aim of this special session is to solicit contributions that are based on statistical learning, lazy learning, artificial neural networks, fuzzy logic based, evolutionary, genetic, knowledge system and adaptive algorithms designed to focus on Big Data, Social Media Analytics especially in the context of the topics listed for the special session.
Topics of interest include, but are not limited to:
- Data Science and Social Analytics
- Emerging Technologies and their Complexities
- Modelling and Visualization
- Parallelization and Distributed Processing
- Personalized Digital Activities
- Opinion Mining and Sentiment Analysis
- Author Profiling, Personality and Behavioral Predictions
- Ontology Analysis
- Web Content Mining
- Community Structure Prediction
- Trust Recommendation Modeling
Important Dates:
Paper submission: February 5, 2015Paper decision notification: March 25, 2015
Camera-ready submission: April 25, 2015
Conference days: July 12-17, 2015
Submission:
Authors are invited to submit their papers through the main IJCNN 2015 conference submission system at: http://ieee-cis.org/conferences/ijcnn2015/upload.phpPlease make sure to select the Special Session (SS24) under "S. SPECIAL SESSION TOPICS" in the "Main Research topic" drop-down list. Templates and detailed instructions for authors can be found at http://www.ijcnn.org/paper-submission. All papers submitted to the special session will be subject to the same peer-review procedure as regular papers. Accepted papers will be published in the conference proceedings.
Programme Committee:
- Amir Hussain, University of Stirling, UK
- Andrea Bolioli, CELI, Italy
- Arturo Montero, University of Jaen, Spain
- Asim Karim, Lahore University of Management Sciences, LUMS, Pakistan
- Basit Shafiq, Lahore University of Management Sciences, LUMS, Pakistan
- Beatriz Aguilar Cortés, Socialancer, SL., Spain
- Benet María Marcos Casanovas, Socialancer, SL., Spain
- Francisco Casacuberta, PRHLT, Universitat Politècnica de Valencia, Spain
- Francisco Marco-Serrano, GSM London Ltd, United Kingdom
- Giancarlo Ruffo, Netatlas, Italy
- Hai Dong, Royal Melbourne Institute of Technology, Australia
- Jon Ander Gómez, PRHLT Research Center, Universitat Politècnica de València, Spain
- Jon Atle Gulla, Norwegian University of Science and Technology, Norway
- Juan Ramos Balaguer, Money Mate R&D Lab, Spain
- Liaqat Majeed, University of Central Punjab, Pakistan
- Luis Belloch Gómez, Money Mate R&D Lab, Spain
- Mário J. Gaspar da Silva, INESC-ID, Portugal
- Matthew Williams, Cardiff University
- Muhammad Younas, Oxford Brookes University, UK
- Naveed Arshad, Lahore University of Management Sciences, LUMS, Pakistan
- Omar Khadeer Hussain, University of New South Wales Canberra, Australia
- Peter Burnap, Cardiff University
- Rafael Banchs, Institute for Infocomm Research, Singapore
- Roberto Paredes, PRHLT, Universitat Politècnica de Valencia, Spain
- Roman Kern, Know Center, Austria
- Shady Mohammad, Deakin University, Australia
- Shafay Shamail, Lahore University of Management Sciences, LUMS, Pakistan
- Simon Caton, NCC, Dublin, Ireland
Organisers:
Mian M. AwaisDepartment of Computer Science, Syed Babar Ali School of Science and Engineering, LUMS, Pakistan
Email: awais@lums.edu.pk
http://lums.edu.pk/faculty-details.php/awais
El-Sayed M. El-Alfy
Intelligent Systems Research Group, College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia.
Email: alfy@kfupm.edu.sa
http://faculty.kfupm.edu.sa/ics/alfy/
Paolo Rosso
Natural Language Engineering Lab, PRHLT Research Center, Universitat
Politècnica de València, Spain.
Email: prosso@dsic.upv.es
http://users.dsic.upv.es/~prosso/
Farookh K. Hussain
Associate Professor,Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Australia
Email: farookh.hussain@uts.edu.au
www.uts.edu.au
Omer F Rana
Professor, Computer Science & Informatics,
Cardiff University, Queen's Buildings,5 The Parade, Roath,
Cardiff CF24 3AA, UK
Email: O.F.Rana@cs.cardiff.ac.uk
Francisco Rangel
CTO at Autoritas Consulting
Personal site: http://www.kicorangel.com
Company site: http://www.autoritas.net
Email: francisco.rangel@autoritas.es
Thursday, 22 January 2015
IJCNN 2015 Deadline Extension
The paper submission deadline for the International Joint Conference on Neural Networks (IJCNN) 2015 has been extended to February 5, 2015. This extension also applies to submissions to the special sessions.
CFP: Evolutionary Computation Journal (MIT Press) special issue on "Combinatorial Optimization Problems"
Special Issue in Evolutionary Computation Journal, MIT Press, on Combinatorial Optimization Problems
Successfully solved problems include scheduling, timetabling, network design, transportation and distribution problems, vehicle routing, travelling salesman, graph problems, satisfiability, energy optimization problems, packing problems and planning problems.
Prominent examples of metaheuristics include evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, ant colony optimization, particle swarm optimization, variable neighbourhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, hyperheuristics and hybrid algorithms.
We encourage authors to submit original high-quality research on the application of metaheuristic algorithms to combinatorial optimization problems or theoretical aspects of this application.
15 December 2015 authors notification
15 March 2016 authors’ revisions
1 July 2016 final notification
15 July 2016 final manuscript
Winter 2016 tentative publication
e-mail: chicano@lcc.uma.es
University of Malaga, Spain
Christian Blum
e-mail: christian.blum@ehu.es
University of the Basque Country, Spain
Gabriela Ochoa
e-mail: gabriela.ochoa@cs.stir.ac.uk
University of Stirling, Scotland, UK
DESCRIPTION
Combinatorial Optimization Problems consist in finding an optimal solution (according to some objective function) from a finite search space. These problems arise in Industry and Academia and, unfortunately, most of them cannot be solved efficiently, that is, they are NP-hard and no polynomial time algorithm is known to solve them. For this reason, in the last decades researches have investigated the use of stochastic search algorithms to find near optimal solutions to these problems. In particular, a great research effort has been devoted to the development of metaheuristic algorithms to solve combinatorial optimization problems.Successfully solved problems include scheduling, timetabling, network design, transportation and distribution problems, vehicle routing, travelling salesman, graph problems, satisfiability, energy optimization problems, packing problems and planning problems.
Prominent examples of metaheuristics include evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, ant colony optimization, particle swarm optimization, variable neighbourhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, hyperheuristics and hybrid algorithms.
We encourage authors to submit original high-quality research on the application of metaheuristic algorithms to combinatorial optimization problems or theoretical aspects of this application.
SUBMISSION GUIDELINES
All submissions have to be prepared according to the "guidelines for authors" as published in the journal website at http://ecj.fhv.at. Authors should submit their manuscripts to the Evolutionary Computation Editorial Manager at http://ecj.fhv.at . When submitting a paper, please send at the same time an email to Francisco Chicano (chicano@lcc.uma.es) and a copy to ecj@fhv.at mentioning the special issue, the paper title, and author list to inform about the submission.TENTATIVE SCHEDULE
15 August 2015 submission deadline15 December 2015 authors notification
15 March 2016 authors’ revisions
1 July 2016 final notification
15 July 2016 final manuscript
Winter 2016 tentative publication
GUEST EDITORS
Francisco Chicanoe-mail: chicano@lcc.uma.es
University of Malaga, Spain
Christian Blum
e-mail: christian.blum@ehu.es
University of the Basque Country, Spain
Gabriela Ochoa
e-mail: gabriela.ochoa@cs.stir.ac.uk
University of Stirling, Scotland, UK
Wednesday, 21 January 2015
CFP: IEEE TFS Special Issue on "Fuzzy Techniques in Financial Modelling and Simulation"
I. AIMS AND SCOPE
Computational intelligence has attracted a significant and increasing interest from the financial engineering and economics communities in recent years. Computational systems capturing sentiments, preferences, behaviour and beliefs, are becoming indispensable in virtually all financial applications, from portfolio selection to proprietary trading, algorithmic trading, and risk management. The bar has been raised with the revision of regulations, and the required compliance and risk management. The new rules should be implemented through new processes and supported by developing new computational tools.The fuzzy systems domain provides an armoury of techniques to address the challenges currently encountered in the financial engineering area. Fuzzy logic can be used to effectively describe and incorporate financial experts’ and market participants’ intuition and behaviour, reaching beyond the capabilities of probabilistic models traditionally used in financial modelling. In addition, fuzzy techniques can be used in conjunction with probabilistic models or with other machine learning techniques, such as evolutionary optimisation methods or neural networks, in order to better address the challenges raised in this area.
The objective of this special issue is to bring together the most recent advances in the design and application of fuzzy approaches to real problems in financial engineering. A focus of interest is simulating scenarios at different level of granularity, as well as developing test environments for new financial and banking regulation, while accommodating behavioural aspects.
II. TOPICS COVERED
This special issue solicits original contributions on theoretical developments for financial modelling and simulations based on the following paradigms:- fuzzy time series
- fuzzy data mining
- fuzzy intelligent
- fuzzy optimisation
- decision-making
- fuzzy systems
- fuzzy granular
- fuzzy-rough approaches
- computing
- evolving fuzzy systems
- neuro-fuzzy systems
- support vector machines
Application papers of these paradigms to the following financial engineering areas are welcome:
- agent-based artificial financial markets
- financial-regulation test environments
- financial sentiment analysis, emotion mining
- financial scenarios modelling and simulation
- algorithmic trading
- instruments pricing
- financial forecasting
- risk management
- contagion analysis
- systemic risk modelling
- portfolio optimization
- trading strategies
- behavioural finance
- finance big data analytics
III. IMPORTANT DATES
July 1, 2015: Submission deadlineOct. 1, 2015: Notification of the first-round review
Nov. 1, 2015: Revised submission due
Dec. 15, 2015: Final notice of acceptance/reject
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 Fuzzy Techniques in Financial Modelling and Simulation” 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
Ronald YagerMachine Intelligence Institute
Iona College, USA
ryager@iona.edu
Antoaneta Serguieva
Financial Computing and Analytics Group
University College London, UK
a.serguieva@ucl.ac.uk
Vasile Palade
Faculty of Engineering and Computing
Coventry University, UK
vasile.palade@coventry.ac.uk
Hisao Ishibuchi
Computer Science and Intelligent Systems
Osaka Prefecture University, Japan
hisaoi@cs.osakafu-u.ac.jp
Tuesday, 20 January 2015
Call for Papers: IEEE 2015 International Conference on Data Science and Advanced Analytics
Preliminary Call for Papers: IEEE 2015 International Conference on Data Science and Advanced Analytics (DSAA 2015)
19-21 October, 2015, Paris, France
Website: http://dsaa2015.lip6.fr/
Notification of acceptance: 6 July, 2015
Final Camera-ready papers due: 28 August, 2015
Following the first successful edition held in 2014 in Shanghai, the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015) aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications.
DSAA is also technically sponsored by ACM through SIGKDD.
DSAA'2015 will consist of two main Tracks: Research and Application; the Research Track is aimed at collecting contributions related to theoretical foundations of Data Science and Data Analytics. The Application Track is aimed at collecting contributions related to applications of Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics.
1. Foundations
Usama Fayyad, Barclays Bank, UK
General Chairs
Longbing Cao, University of Technology Sydney, Australia
Eric Gaussier, University Joseph Fourier, France
Conference Chairs
Olivier Capp, Telecom Paristech, CNRS, France
Wei Wang, University of California at Los Angeles, USA
Research Track Chairs
Patrick Gallinari, University Pierre & Marie Curie, France
James Kwok, Hong Kong University of Science and Technology, China
Application Track Chairs
Gabriella Pasi, Universita degli Studi di Milano Biccoca, Italy
Osmar Zaiane, Univ. of Alberta, Canada
19-21 October, 2015, Paris, France
Website: http://dsaa2015.lip6.fr/
Important Dates
Paper Submission deadline: 18 May, 2015Notification of acceptance: 6 July, 2015
Final Camera-ready papers due: 28 August, 2015
Publications
All accepted papers will be published by IEEE and included in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and publication in the special issues of some international journals, including IEEE Intelligent Systems and WWWJ.Introduction
Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud. Under this paradigm, Data Science is the core that drives new researches in many areas, from environmental to social. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. Among the complex aspects to be addressed we mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation. Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, Government or on the Web.Following the first successful edition held in 2014 in Shanghai, the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015) aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications.
DSAA is also technically sponsored by ACM through SIGKDD.
DSAA'2015 will consist of two main Tracks: Research and Application; the Research Track is aimed at collecting contributions related to theoretical foundations of Data Science and Data Analytics. The Application Track is aimed at collecting contributions related to applications of Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics.
Topics of Interest
General areas of interest to DSAA'2015 include but are not limited to:1. Foundations
- New mathematical, probabilistic and statistical models and theories
- New machine learning theories, models and systems
- New knowledge discovery theories, models and systems
- Manifold and metric learning, deep learning
- Scalable analysis and learning
- Non-iidness learning
- Heterogeneous data/information integration
- Data pre-processing, sampling and reduction
- High dimensional data, feature selection and feature transformation
- Large scale optimization
- High performance computing for data analytics
- Architecture, management and process for data science
- Learning for streaming data
- Learning for structured and relational data
- Intent and insight learning
- Mining multi-source and mixed-source information
- Mixed-type and structure data analytics
- Cross-media data analytics
- Big data visualization, modeling and analytics
- Multimedia/stream/text/visual analytics
- Relation, coupling, link and graph mining
- Personalization analytics and learning
- Web/online/social/network mining and learning
- Structure/group/community/network mining
- Cloud computing and service data analysis
- Data warehouses, cloud architectures
- Large-scale databases
- Information and knowledge retrieval
- Information and knowledge retrieval
- Web/social/databases query and search
- Personalized search and recommendation
- Human-machine interaction and interfaces
- Crowdsourcing and collective intelligence
- Security, trust and risk in big data
- Data integrity, matching and sharing
- Privacy and protection standards and policies
- Privacy preserving big data access/analytics
- Social impact
- Best practices and lessons
- Data-intensive organizations, business and economy
- Domain-specific applications
- Business/government analytics
- Online/social/living/environment data analysis
- Mobile analytics for hand-held devices
- Quality assessment and interestingness metrics
- Complexity, efficiency and scalability
- Anomaly/fraud/exception/change/event/crisis analysis
- Large-scale recommender and search systems
- Big data representation and visualization
- Large scale application case studies
Organizing Committee
Honorary ChairUsama Fayyad, Barclays Bank, UK
General Chairs
Longbing Cao, University of Technology Sydney, Australia
Eric Gaussier, University Joseph Fourier, France
Conference Chairs
Olivier Capp, Telecom Paristech, CNRS, France
Wei Wang, University of California at Los Angeles, USA
Research Track Chairs
Patrick Gallinari, University Pierre & Marie Curie, France
James Kwok, Hong Kong University of Science and Technology, China
Application Track Chairs
Gabriella Pasi, Universita degli Studi di Milano Biccoca, Italy
Osmar Zaiane, Univ. of Alberta, Canada
Monday, 19 January 2015
CFP: IEEE CIM special issue on "Computational Intelligence for Brain Computer Interfaces"
IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence for Brain Computer Interfaces
http://www.husseinabbass.net/ieeecimbci2016.html
Hussein A. Abbass, Cuntai Guan, Kay Chen Tan
The last decade has witnessed a rise in the number of researchers working on BCI. With the advances of sensor technologies, efficient signal processing algorithms, and parallel computing, it was possible to finally realize the dream of many researchers who talked about the concept in one form or another in the sixties and seventies including J.C.R. Licklider, R.B. Rouse, and others. Different sensor and measurement technologies are evolving rapidly from the classical functional magnetic resonance imaging (fMRI), functional near infrared (fNIR), Electroencephalography (EEG), to complex integrated psycho-physiological sensor arrays.
Researchers in Computational Intelligence have been better situated than ever to extract knowledge from these signals, transform it to actionable decisions, and designing the intelligent machine that has long been promised and is now overdue. Success has been seen in many medical applications including assisting people on wheelchairs, stroke rehabilitation, and epileptic seizures. In the non-medical domain, BCI has been used for computer games, authentication in cyber security, and air traffic control.
This special issue aims at showcasing the most exciting and recent advances in BCI and related topics. The guest editors invite submissions of previously unpublished, recent and exciting research on BCI. The special issue welcomes survey, position, and research papers
15th July, 2015: Notification of Review Results
15th August, 2015: Submission of Revised Manuscripts
15th September, 2015: Submission of Final Manuscripts
February 2016: Special Issue Publication
University of New South Wales
Canberra, Northcott Drive, ACT 2600, Australia
Email: h.abbass@adfa.edu.au
Professor Cuntai Guan
Institute for Infocomm Research (I2R),
1 Fusionopolis Way, Fusionopolis, Singapore 138632
Email: ctguan@i2r.a-star.edu.sg
Professor Kay Chen Tan
National University of Singapore
4 Engineering Drive, Singapore 117583
Email: eletankc@nus.edu.sg
http://www.husseinabbass.net/ieeecimbci2016.html
Hussein A. Abbass, Cuntai Guan, Kay Chen Tan
Aims and Scope
Brain Computer Interfaces (BCI) aims at establishing a one or two-way communication protocol between the human brain and an electronic device. The research umbrella of BCI has different names and overlaps with different research areas that evolved under the wider objective of connecting human data to an electronic device of some sort. Some of these areas include: adaptive automation, augmented cognition, brain-machine interface, human-machine symbiosis, and human-computer symbiosis.The last decade has witnessed a rise in the number of researchers working on BCI. With the advances of sensor technologies, efficient signal processing algorithms, and parallel computing, it was possible to finally realize the dream of many researchers who talked about the concept in one form or another in the sixties and seventies including J.C.R. Licklider, R.B. Rouse, and others. Different sensor and measurement technologies are evolving rapidly from the classical functional magnetic resonance imaging (fMRI), functional near infrared (fNIR), Electroencephalography (EEG), to complex integrated psycho-physiological sensor arrays.
Researchers in Computational Intelligence have been better situated than ever to extract knowledge from these signals, transform it to actionable decisions, and designing the intelligent machine that has long been promised and is now overdue. Success has been seen in many medical applications including assisting people on wheelchairs, stroke rehabilitation, and epileptic seizures. In the non-medical domain, BCI has been used for computer games, authentication in cyber security, and air traffic control.
This special issue aims at showcasing the most exciting and recent advances in BCI and related topics. The guest editors invite submissions of previously unpublished, recent and exciting research on BCI. The special issue welcomes survey, position, and research papers
Topics of Interest
- Adaptive control schemes for BCI
- Applications
- Augmented cognition and adaptive aiding using BCI
- Big data for brain mining
- Collaborative multi-humans BCI environments
- Computational intelligence applications for BCI
- Data and signal processing techniques for BCI applications
- Evolutionary algorithms for BCI
- Fusion of heterogeneous psycho-physiological sensors
- Fuzzy logic for BCI
- Neuroplasticity induced by brain-computer interactions
- Neural networks for BCI
- Novel sensor technologies for BCI
- Related computational intelligence methods for BCI
- Situation awareness systems for BCI applications
- Swarm techniques for BCI
- Other closely related topics on computational intelligence for BCI
Submission Process
The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify on the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via https://www.easychair.org/conferences/?conf=ieeecimbci2016Important Dates
15th May, 2015: Submission of Manuscripts15th July, 2015: Notification of Review Results
15th August, 2015: Submission of Revised Manuscripts
15th September, 2015: Submission of Final Manuscripts
February 2016: Special Issue Publication
Guest Editors
Professor Hussein AbbassUniversity of New South Wales
Canberra, Northcott Drive, ACT 2600, Australia
Email: h.abbass@adfa.edu.au
Professor Cuntai Guan
Institute for Infocomm Research (I2R),
1 Fusionopolis Way, Fusionopolis, Singapore 138632
Email: ctguan@i2r.a-star.edu.sg
Professor Kay Chen Tan
National University of Singapore
4 Engineering Drive, Singapore 117583
Email: eletankc@nus.edu.sg
Sunday, 18 January 2015
Call for Papers: 12th International Symposium on Neural Networks (ISNN2015)
Call for papers: 12th International Symposium on Neural Networks (ISNN2015)， October 15-18, 2015, Jeju, Korea
Sponsors and co-sponsor: The Chinese University of Hong Kong, Pusan National University
Technical co-sponsors: Asia Pacific Neural Network Assembly (pending), IEEE Computational Intelligence Society (pending), International Neural Network Society, and Korean Institute of Intelligent Systems
Website: http://isnn.mae.cuhk.edu.hk
Paper submission deadline May 15, 2015
Notification of acceptance June 15, 2015
Camera-ready copy and author registration July 15, 2015
Following the successes of previous events, Twelfth International Symposium on Neural Networks (ISNN 2015) will be held in Jeju, Korea. Jeju's temperate climate, natural scenery, and beaches make it a popular tourist destination for South Koreans as well as visitors from other parts of East Asia. There are numerous popular tourist spots on the island, such as Cheonjeyeon Waterfalls, Mount Halla, Hyeobje Cave, and Hyeongje Island. In particular, Jeju Volcanic Island and Lava Tubes was listed by UNESCO as a World Natural Heritage. ISNN 2015 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
Jun Wang, The Chinese University of Hong Kong, Hong Kong
Steering Chair
Derong Liu, Chinese Academy of Sciences, Beijing, China and University of Illinois - Chicago, USA
Organizing Committee Chairs
Chengan Guo, Dalian University of Technology, Dalian, China
Sungshin Kim, Pusan National University, Busan, Korea
Zhigang Zeng, Huazhong University of Science and Technology, Wuhan, China
Program Chairs
Xiaolin Hu, Tsinghua University, Beijing, China
Yousheng Xia, Fuzhou University, Fuzhou, China
Yunong Zhang, Sun Yet-sen University, Guangzhou, China
Dongbin Zhao, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Special Sessions Chairs
Sanqing Hu, Hangzhou Dianzi University, Hangzhou, China
Kwang Baek Kim, Silla University, Busan, Korea
Tieshan Li, Dalian Maritime University, Dalian, China
Publicity Chairs
Yuanqing Li, South China University of Technology, Guangzhou, China
Yi Shen, Huazhong University of Science and Technology, Wuhan, China
Zhang Yi, Sichuan University, Chengdu, China
Publications Chairs
Jianchao Fan, National Marine Environmental Monitoring Center, Dalian, China
Jin Hu, Chongqing Jiaotong University, Chongqing, China
Zheng Yan, Huawei Shannon Laboratory, Beijing, China
Registration Chairs
Shenshen Gu, Shanghai University, Shanghai, China
Qingshan Liu, Huazhong University of Science and Technology, Wuhan, China
Secretariat
Xinyi Le, The Chinese University of Hong Kong, Hong Kong
Webmaster
Shaofu Yang, The Chinese University of Hong Kong, Hong Kong
Sponsors and co-sponsor: The Chinese University of Hong Kong, Pusan National University
Technical co-sponsors: Asia Pacific Neural Network Assembly (pending), IEEE Computational Intelligence Society (pending), International Neural Network Society, and Korean Institute of Intelligent Systems
Website: http://isnn.mae.cuhk.edu.hk
Important Dates
Special session proposals deadline April 15, 2015Paper submission deadline May 15, 2015
Notification of acceptance June 15, 2015
Camera-ready copy and author registration July 15, 2015
Following the successes of previous events, Twelfth International Symposium on Neural Networks (ISNN 2015) will be held in Jeju, Korea. Jeju's temperate climate, natural scenery, and beaches make it a popular tourist destination for South Koreans as well as visitors from other parts of East Asia. There are numerous popular tourist spots on the island, such as Cheonjeyeon Waterfalls, Mount Halla, Hyeobje Cave, and Hyeongje Island. In particular, Jeju Volcanic Island and Lava Tubes was listed by UNESCO as a World Natural Heritage. ISNN 2015 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
Call for Papers and Special Sessions
Prospective authors are invited to contribute high-quality papers to ISNN 2015. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ISNN 2015. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information of the organizers.Topic Areas
Topics areas include, but not limited to, computational neuroscience, connectionist theory and cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization and adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised, unsupervised, and reinforcement learning, deep learning, brain imaging and neural information processing, neuroinformatics and bioinformatics, support vector machines and kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotic and control applications, telecommunications, transportation systems, intrusion detection and fault diagnosis, hardware implementation, real-world applications.Paper Submission
Authors are invited to submit full-length papers (10 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. Papers presented at ISNN 2015 will be published in the EI-indexed proceedings in the Springer LNCS series and selected good papers will be included in special issues of several SCI journals.Organizers:
General ChairJun Wang, The Chinese University of Hong Kong, Hong Kong
Steering Chair
Derong Liu, Chinese Academy of Sciences, Beijing, China and University of Illinois - Chicago, USA
Organizing Committee Chairs
Chengan Guo, Dalian University of Technology, Dalian, China
Sungshin Kim, Pusan National University, Busan, Korea
Zhigang Zeng, Huazhong University of Science and Technology, Wuhan, China
Program Chairs
Xiaolin Hu, Tsinghua University, Beijing, China
Yousheng Xia, Fuzhou University, Fuzhou, China
Yunong Zhang, Sun Yet-sen University, Guangzhou, China
Dongbin Zhao, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Special Sessions Chairs
Sanqing Hu, Hangzhou Dianzi University, Hangzhou, China
Kwang Baek Kim, Silla University, Busan, Korea
Tieshan Li, Dalian Maritime University, Dalian, China
Publicity Chairs
Yuanqing Li, South China University of Technology, Guangzhou, China
Yi Shen, Huazhong University of Science and Technology, Wuhan, China
Zhang Yi, Sichuan University, Chengdu, China
Publications Chairs
Jianchao Fan, National Marine Environmental Monitoring Center, Dalian, China
Jin Hu, Chongqing Jiaotong University, Chongqing, China
Zheng Yan, Huawei Shannon Laboratory, Beijing, China
Registration Chairs
Shenshen Gu, Shanghai University, Shanghai, China
Qingshan Liu, Huazhong University of Science and Technology, Wuhan, China
Secretariat
Xinyi Le, The Chinese University of Hong Kong, Hong Kong
Webmaster
Shaofu Yang, The Chinese University of Hong Kong, Hong Kong
Saturday, 17 January 2015
CFP: IEEE TNNLS special issue on "New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control"
There has been continuously increasing interest in applying neural networks to identification and adaptive control of practical systems that are characterized by nonlinearity, uncertainty, communication constraints, and complexity. The past few years have witnessed a variety of new developments in neural-network-based approaches for behavior learning, information processing, autonomous decision, and system control. Biologically inspired neural network structures can significantly enhance the capabilities of information processing, control and computational performance. New discoveries in neurocognitive psychology, sociology, and elsewhere reveal new neurological learning structures with more powerful capabilities in complex problem solving and fast decision in dynamic environments. The goal of the special issue is to consolidate recent new developments in neural network structures for signal processing, autonomous decision, and adaptive control with application to complex systems. It welcomes contributions from a wide range of research aspects relevant to the topic, including neural computing, adaptive control, cooperative control, autonomous decision systems, mathematical and computational models, neuropsychology decision and control, algorithms, simulation, applications and/or case studies.
31 May 2015 – Notification of authors
31 June 2015 – Deadline for submission of revised manuscripts
31 July 2015 – Final decision of acceptance
Nov. 2015 – Tentative Publication Date
SCOPE OF THE SPECIAL ISSUE
We invite original contributions related to new neural network structures and methods, adaptive neural network control, from theories, algorithms, modelling to experimental studies and applications. Topics include but are not limited to:- Bio-inspired neural network structures for signal processing
- Cognitive computing and intelligent control
- Fast satisficing decision & control based on risk, gist and environmental cues
- Cooperative control using neural network structures
- Brain-like control design and applications
- New neural network topologies from neurocognitive psychology studies
- Neurocomputing structures for fast decision and control in dynamic environments
- Neural-adaptive learning in distributed multi-agent systems
- Spike timing-based learning algorithms with hierarchical/complex architectures
- Autonomous decision and control using neural structures
- Memory-based reasoning, prediction and control
Important Dates
31 Mar 2015 – Deadline for manuscript submission31 May 2015 – Notification of authors
31 June 2015 – Deadline for submission of revised manuscripts
31 July 2015 – Final decision of acceptance
Nov. 2015 – Tentative Publication Date
Guest Editors
- Y.D. Song, Chongqing University, China, ydsong@cqu.edu.cn
- F.L. Lewis, University of Texas at Arlington, USA
- Marios Polycarpou, University of Cyprus
- Danil Prokhorov, Toyota Research Institute North America, Ann Arbor, MI.
- Dongbin Zhao, Institute of Automation, Chinese Academy of Sciences, Beijing
Submission Instructions
- Read the information for Authors at http://cis.ieee.org/tnnls
- Submit your manuscript by 31 March 2015 at the TNNLS webpage (http://mc.manuscriptcentral.com/tnnls) and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript has been submitted to the special issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control . Send also an email to guest editor Y.D. Song with subject “TNNLS special issue submission” to notify about your submission.
Friday, 16 January 2015
Call For Papers: IEEE CIM special issue on "Computational Intelligence for Changing Environments"
IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence for Changing Environments
Amir Hussain, Dacheng Tao, Jonathan Wu and Dongbin Zhao
Over the past decade or so, computational intelligence techniques have been highly successful for solving big data challenges in changing environments. In particular, there has been growing interest in so called biologically inspired learning (BIL), which refers to a wide range of learning techniques, motivated by biology, that try to mimic specific biological functions or behaviors. Examples include the hierarchy of the brain neocortex and neural circuits, which have resulted in biologically-inspired features for encoding, deep neural networks for classification, and spiking neural networks for general modelling.
To ensure that these models are generalizable to unseen data, it is common to assume that the training and test data are independently sampled from an identical distribution, known as the sample i.i.d. assumption. In dynamic and non-stationary environments, the distribution of data changes over time, resulting in the phenomenon of ‘concept drift’ (also known as population drift or concept shift), which is a generalization of covariance shift in statistics. Over the last five years, transfer learning and multitask learning have been used to tackle this problem. Fundamental analyses using probably approximately correct (PAC) and Rademacher complexity frameworks have explained why appropriate incorporation of context and concept drift can improve generalizability in changing environments.
It is possible to use human-level processing power to tackle concept drift in changing enviroments. Concept drift is a real-world problem, usually associated with online and concept learning, where the relationships between input data and target variables dynamically change over time. Traditional learning schemes do not adequately address this issue, either because they are offline or because they avoid dynamic learning. However, BIL seems to possess properties that would be helpful for solving concept drift problems in changing environments. Intuitively, the human capacity to deal with concept drift is innate to cognitive processes, and the learning problems susceptible to concept drift seem to share some of the dynamic demands placed on plastic neural areas in the brain. Using improved biological models in neural networks can provide insight into cognitive computational phenomena.
However, a main outstanding issue in using computational intelligence for changing enviroments and domain adaptation is how to build complex networks, or how networks should be connected to the features, samples, and distribution drifts. Manual design and building of these networks are beyond current human capabilities. Recently, computational intelligence methods has been used to address concept drift in changing enviroments, with promising results. A Hebbian learning model has been used to handle random, as well as correlated, concept drift. Neural networks have been used for concept drift detection, and the influence of latent variables on concept drift in a neural network has been studied. In another study, a timing-dependent synapse model has been applied to concept drift. These works mainly apply biologically-plausible computational models to concept drift problems. Although these results are still in their infancy, they open up new possibilities to achieve brain-like intelligence for solving concept drift problems in changing environments.
Taking the current state of research in computational intelligence for changing environments into account, the objective of this special issue is to collate this research to help unify the concepts and terminology of computational intelligence in changing environments, and to survey state-of-the-art computational intelligence methodologies and the key techniques investigated to date. Therefore, this special issue invites submissions on the most recent developments in computational intelligence for changing enviroments algorithms and architectures, theoretical foundations, and representations, and their application to real-world problems. We also welcome timely surveys and review papers.
Topics of Interest include (but are not limited to):
https://www.easychair.org/conferences/?conf=ieeecimcdbil2015.
15th April, 2015: Notification of Review Results
15th May, 2015: Submission of Revised Manuscripts
15th June, 2015: Submission of Final Manuscripts
November 2015: Publication
University of Stirling
Stirling FK9 4LA SCOTLAND, UK
Email: ahu@cs.stir.ac.uk
Professor Dacheng Tao
University of Technology, Sydney
235 Jones Street, Ultimo, NSW 2007, Australia
Email: dacheng.tao@uts.edu.au
Professor Jonathan Wu
University of Windsor
401 Sunset Avenue, Windsor, ON, Canada
Email: jwu@uwindsor.ca
Professor Dongbin Zhao
Institute of Automation, Chinese Academy of Sciences,
No. 95, Zhongguancun East Road, Beijing 100190, China
E-mail: dongbin.zhao@gmail.com
Amir Hussain, Dacheng Tao, Jonathan Wu and Dongbin Zhao
Aims and Scope:
Over the past decade or so, computational intelligence techniques have been highly successful for solving big data challenges in changing environments. In particular, there has been growing interest in so called biologically inspired learning (BIL), which refers to a wide range of learning techniques, motivated by biology, that try to mimic specific biological functions or behaviors. Examples include the hierarchy of the brain neocortex and neural circuits, which have resulted in biologically-inspired features for encoding, deep neural networks for classification, and spiking neural networks for general modelling.
To ensure that these models are generalizable to unseen data, it is common to assume that the training and test data are independently sampled from an identical distribution, known as the sample i.i.d. assumption. In dynamic and non-stationary environments, the distribution of data changes over time, resulting in the phenomenon of ‘concept drift’ (also known as population drift or concept shift), which is a generalization of covariance shift in statistics. Over the last five years, transfer learning and multitask learning have been used to tackle this problem. Fundamental analyses using probably approximately correct (PAC) and Rademacher complexity frameworks have explained why appropriate incorporation of context and concept drift can improve generalizability in changing environments.
It is possible to use human-level processing power to tackle concept drift in changing enviroments. Concept drift is a real-world problem, usually associated with online and concept learning, where the relationships between input data and target variables dynamically change over time. Traditional learning schemes do not adequately address this issue, either because they are offline or because they avoid dynamic learning. However, BIL seems to possess properties that would be helpful for solving concept drift problems in changing environments. Intuitively, the human capacity to deal with concept drift is innate to cognitive processes, and the learning problems susceptible to concept drift seem to share some of the dynamic demands placed on plastic neural areas in the brain. Using improved biological models in neural networks can provide insight into cognitive computational phenomena.
However, a main outstanding issue in using computational intelligence for changing enviroments and domain adaptation is how to build complex networks, or how networks should be connected to the features, samples, and distribution drifts. Manual design and building of these networks are beyond current human capabilities. Recently, computational intelligence methods has been used to address concept drift in changing enviroments, with promising results. A Hebbian learning model has been used to handle random, as well as correlated, concept drift. Neural networks have been used for concept drift detection, and the influence of latent variables on concept drift in a neural network has been studied. In another study, a timing-dependent synapse model has been applied to concept drift. These works mainly apply biologically-plausible computational models to concept drift problems. Although these results are still in their infancy, they open up new possibilities to achieve brain-like intelligence for solving concept drift problems in changing environments.
Taking the current state of research in computational intelligence for changing environments into account, the objective of this special issue is to collate this research to help unify the concepts and terminology of computational intelligence in changing environments, and to survey state-of-the-art computational intelligence methodologies and the key techniques investigated to date. Therefore, this special issue invites submissions on the most recent developments in computational intelligence for changing enviroments algorithms and architectures, theoretical foundations, and representations, and their application to real-world problems. We also welcome timely surveys and review papers.
Topics of Interest include (but are not limited to):
- Computational intelligence methodologies and implementation for changing environments
- Transfer learning
- Multitask learning
- Domain adaption
- Incremental Learning architectures
- Incremental Unsupervised and semi-supervised learning architectures
- Incremental Incremental Representation learning and disentangling
- Incremental Knowledge augmentation
- Incremental Adaptive Neuro-fuzzy systems
- Incremental and single-pass data mining
- Incremental Neural Clustering
- Incremental Neural regression
- Incremental Adaptive decision systems
- Incremental Feature selection and reduction
- Incremental Constructive Learning
- Novelty detection in Incremental learning
Submission Process
The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via:https://www.easychair.org/conferences/?conf=ieeecimcdbil2015.
Important Dates
1st Feb, 2015: Submission of Manuscripts15th April, 2015: Notification of Review Results
15th May, 2015: Submission of Revised Manuscripts
15th June, 2015: Submission of Final Manuscripts
November 2015: Publication
Guest Editor
Professor Amir HussainUniversity of Stirling
Stirling FK9 4LA SCOTLAND, UK
Email: ahu@cs.stir.ac.uk
Professor Dacheng Tao
University of Technology, Sydney
235 Jones Street, Ultimo, NSW 2007, Australia
Email: dacheng.tao@uts.edu.au
Professor Jonathan Wu
University of Windsor
401 Sunset Avenue, Windsor, ON, Canada
Email: jwu@uwindsor.ca
Professor Dongbin Zhao
Institute of Automation, Chinese Academy of Sciences,
No. 95, Zhongguancun East Road, Beijing 100190, China
E-mail: dongbin.zhao@gmail.com
Thursday, 15 January 2015
Call for Papers ICDAR 2015
IAPR 13th International Conference on Document Analysis and Recognition (ICDAR 2015)
Tunis, Tunisia
23-26 August 2015
http://2015.icdar.org/
Acceptance: April 15, 2015
Doctoral Consortium: April 15, 2015
Camera-ready due: May 15, 2015
ICDAR 2015 Publication: IEEE
Prof. Koichi Kise, Osaka Prefecture University, Japan
Prof. (IAPR/ICDAR Outstanding Achievements Award Recipient) (will be announced soon!)
ICDAR is the premier international forum for researchers and practitioners in the document analysis community for identifying, encouraging and exchanging ideas on the state-of-the-art technology in document analysis, understanding, retrieval, and performance evaluation. The term document in the context of ICDAR encompasses a broad range of documents from historical forms such as palm leaves and papyrus to traditional documents and modern multimedia documents.
ICDAR 2015 is hosted by the IAPR Tunisian Society (Association S.I.T.) and the REGIM-Lab. (University of Sfax, Tunisia); Sponsored by the International Association for Pattern Recognition (IAPR); and technically co-sponsored by the TC-10 (Graphics Recognition), the TC-11(Reading Systems), the IEEE Computer Society, the IEEE Region 8, and the Tunisian Chapter of IEEE Computer Society.
The conference program will include workshops, tutorials, competitions, and doctoral consortium, along with prominent keynote speakers andpaper presentations.
Ranking: ICDAR is ranked by CORE as a conference of category ‘A’ (excellent conference).
https://www.easychair.org/conferences/?conf=icdar2015
Manuscript length: 5 pages maximum. This is a strict page limit.
Single blind reviewing: ICDAR 2015 follows a single-blind review process. Authors are required to include their names and affiliations in their papers as illustrated in the sample templates. Templates (Microsoft Word and LaTeX) can be found at the following link:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Tutorials: ICDAR 2015 will feature pre-conference tutorials addressing fundamental and advanced topics in Document Analysis and Recognition. Researchers interested in organizing tutorials are invited to submit a formal proposal. http://2015.icdar.org/activities/tutorials/
Competitions: Researchers interested in organizing competitions within the framework of the Conference are invited to submit proposals. Competitions should aim at evaluating the performance of algorithms and methods related to areas of document analysis and recognition.http://2015.icdar.org/activities/competitions/
To take advantage of these opportunities and to help enhance them, corporations, research centers, universities and individuals are invited to become sponsors of ICDAR’2015. It will be a good opportunity to present your enterprise and your expertise to a distinguished audience.
We are looking forward to a successful cooperation with you!
http://2015.icdar.org/sponsors-exhibitors/sponsorship-exhibitor/
ICDAR 2015 will offer FREE Tunis Airport - Hotel transfer service for participants staying in the venue Hotel.
Tunisia is known for its golden beaches, sunny weather, fabulous archaeological sites, upscale spa thalasso therapy, and affordable luxuries. It is now a democratic modern country in which liberty, peace and safety are guaranteed! All Tunisian people are here to welcome you and make you spend an unforgettable stay.
Sebastiano Impedovo, University of Bari, Italy
General Chairs
Adel M. Alimi, University of Sfax, Tunisia
Volker Märgner, Technische Universität Braunschweig, Germany
Jean-Marc Ogier, University of La Rochelle, France
Executive Chair
Haikal El Abed, GIZ, Technical Trainers College, Saudi Arabia
Program Chairs
Abdel Belaïd, University of Nancy 2, France
Bidyut B. Chaudhuri, Indian Statistical Institute, India
Mohamed Cheriet, ETS, Canada
Tutorials Chairs
Venu Govindaraju, University at Buffalo, USA
Marcus Liwicki, Research Center for Artificial Intelligence, Germany
Workshops Chairs:
Laurence Likforman-Sulem, Telecom Paris Tech, France
Seiichi Uchida, Kyushu University, Japan
Competitions Chairs
Apostolos Antonacopoulos, U. Salford, United Kingdom
Umapada Pal, Indian Statistical Institute, India
Liu Wenyin, City Univ. Hong Kong, Hong Kong
Publicity Chairs:
Michael Blumenstein, Griffith University, Australia
Josep Llados, U. Autonoma Barcelona, Spain
Sponsors & Exhibitions Chairs:
Rolf Ingold, Univ. Fribourg, Switzerland
Andreas Dengel, DFKI, Kaiserslautern, Germany
Local information contact
Adel M. Alimi
REGIM-Lab., ENIS,
University of Sfax, Tunisia
Phone: +216 98 667 682
e-mail: info@icdar.org
Tunis, Tunisia
23-26 August 2015
http://2015.icdar.org/
Important Dates
Paper submission: Extended to January 31, 2015Acceptance: April 15, 2015
Doctoral Consortium: April 15, 2015
Camera-ready due: May 15, 2015
ICDAR 2015 Publication: IEEE
Plenary Speakers
Prof. David Doermann, Program Manager, DARPA, USAProf. Koichi Kise, Osaka Prefecture University, Japan
Prof. (IAPR/ICDAR Outstanding Achievements Award Recipient) (will be announced soon!)
ICDAR is the premier international forum for researchers and practitioners in the document analysis community for identifying, encouraging and exchanging ideas on the state-of-the-art technology in document analysis, understanding, retrieval, and performance evaluation. The term document in the context of ICDAR encompasses a broad range of documents from historical forms such as palm leaves and papyrus to traditional documents and modern multimedia documents.
ICDAR 2015 is hosted by the IAPR Tunisian Society (Association S.I.T.) and the REGIM-Lab. (University of Sfax, Tunisia); Sponsored by the International Association for Pattern Recognition (IAPR); and technically co-sponsored by the TC-10 (Graphics Recognition), the TC-11(Reading Systems), the IEEE Computer Society, the IEEE Region 8, and the Tunisian Chapter of IEEE Computer Society.
The conference program will include workshops, tutorials, competitions, and doctoral consortium, along with prominent keynote speakers andpaper presentations.
AREAS
The conference includes the following areas:- Character and symbol recognition
- Alphanumeric characters
- Chemical, mathematical, shorthand symbols, etc.
- Printed/Handwritten text recognition
- Language and script recognition
- Text linguistics
- On-line specific problems
- Graphics analysis and recognition
- Map, drawing, diagram analysis
- Logos, stamp, etc. identification/characterisation
- Document analysis
- Basic processing (binarisation, enhancement, etc.)
- Segmentation (line, word, character, data stream,)
- Printed/handwriting separation
- Layout structure
- Form, table, bank check, postal address processing
- Document understanding
- Document information extraction (spotting, entity extraction, etc.)
- Mathematical, chemical expressions analysis
- Reverse engineering
- Internet document processing
- Historical documents and digital libraries
- Special digitization and enhancement
- Multi-manuscript Collections
- Multi-/Hyper- Spectral images
- High Dynamic Range images
- Standards and formats
- Document retrieval
- Database generation
- Document based forensics
- Individuality of handwriting (writer identification, health related effects)
- Forgery detection
- Duplication detection
- Novel detection
- Signature analysis
- Camera and video based scene text analysis
- Text-based image retrieval
- Navigation aid (Street images)
- Sign translation
Ranking: ICDAR is ranked by CORE as a conference of category ‘A’ (excellent conference).
Author Guidelines
Prospective authors are invited to submit original and high-quality work for presentation at the IAPR 13th ICDAR 2015. Deadline: January 15, 2015.https://www.easychair.org/conferences/?conf=icdar2015
Manuscript length: 5 pages maximum. This is a strict page limit.
Single blind reviewing: ICDAR 2015 follows a single-blind review process. Authors are required to include their names and affiliations in their papers as illustrated in the sample templates. Templates (Microsoft Word and LaTeX) can be found at the following link:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Call for Related Activities (Deadline: December 15, 2015)
Workshops: Post-conference workshops offer a unique opportunity for in-depth discussions of specific topics in Document Analysis and Recognition. Researchers interested in organizing workshops are invited to send a proposal to the workshops chairs. http://2015.icdar.org/activities/workshops/Tutorials: ICDAR 2015 will feature pre-conference tutorials addressing fundamental and advanced topics in Document Analysis and Recognition. Researchers interested in organizing tutorials are invited to submit a formal proposal. http://2015.icdar.org/activities/tutorials/
Competitions: Researchers interested in organizing competitions within the framework of the Conference are invited to submit proposals. Competitions should aim at evaluating the performance of algorithms and methods related to areas of document analysis and recognition.http://2015.icdar.org/activities/competitions/
Sponsors & Exhibitions
We invite you to be a sponsor of the 13th ICDAR 2015 and thus play an essential role for the success of the conference. We expect to welcome more than 300 experts and researchers from all over the world and numerous high-ranking guests. Therefore, we anticipate extensive coverage of the event in the media.To take advantage of these opportunities and to help enhance them, corporations, research centers, universities and individuals are invited to become sponsors of ICDAR’2015. It will be a good opportunity to present your enterprise and your expertise to a distinguished audience.
We are looking forward to a successful cooperation with you!
http://2015.icdar.org/sponsors-exhibitors/sponsorship-exhibitor/
VENUE
ICDAR 2015 will be held in RAMADA Plaza Tunis Hotel in Gammarth, 20 km from the main international airport in Tunisia (TUN). Beautifully positioned on an unspoiled sandy beach on the Côtes de Carthage, the hotel is ideal for your business stay and a relaxing holiday.ICDAR 2015 will offer FREE Tunis Airport - Hotel transfer service for participants staying in the venue Hotel.
Tunisia is known for its golden beaches, sunny weather, fabulous archaeological sites, upscale spa thalasso therapy, and affordable luxuries. It is now a democratic modern country in which liberty, peace and safety are guaranteed! All Tunisian people are here to welcome you and make you spend an unforgettable stay.
COMMITTEE
Honorary ChairSebastiano Impedovo, University of Bari, Italy
General Chairs
Adel M. Alimi, University of Sfax, Tunisia
Volker Märgner, Technische Universität Braunschweig, Germany
Jean-Marc Ogier, University of La Rochelle, France
Executive Chair
Haikal El Abed, GIZ, Technical Trainers College, Saudi Arabia
Program Chairs
Abdel Belaïd, University of Nancy 2, France
Bidyut B. Chaudhuri, Indian Statistical Institute, India
Mohamed Cheriet, ETS, Canada
Tutorials Chairs
Venu Govindaraju, University at Buffalo, USA
Marcus Liwicki, Research Center for Artificial Intelligence, Germany
Workshops Chairs:
Laurence Likforman-Sulem, Telecom Paris Tech, France
Seiichi Uchida, Kyushu University, Japan
Competitions Chairs
Apostolos Antonacopoulos, U. Salford, United Kingdom
Umapada Pal, Indian Statistical Institute, India
Liu Wenyin, City Univ. Hong Kong, Hong Kong
Publicity Chairs:
Michael Blumenstein, Griffith University, Australia
Josep Llados, U. Autonoma Barcelona, Spain
Sponsors & Exhibitions Chairs:
Rolf Ingold, Univ. Fribourg, Switzerland
Andreas Dengel, DFKI, Kaiserslautern, Germany
Local information contact
Adel M. Alimi
REGIM-Lab., ENIS,
University of Sfax, Tunisia
Phone: +216 98 667 682
e-mail: info@icdar.org
Wednesday, 14 January 2015
Call for Papers FUZZ-IEEE 2015 Special Session "Fuzzy Natural Language Processing"
Although language, or linguistic expressions, undoubtedly contains fuzziness in nature, very little research has been conducted in related fields in recent years, as it was shown in “A Critical Survey on the use of Fuzzy Sets in Speech and Natural Language Processing”, Proc. of the IEEE WCCI 2012, Brisbane, Australia. This is partly because of the prevalence of probabilistic machine learning technologies in the natural language processing field. However, there has been a growing recognition that fuzziness found in every aspect of human language has to be adequately captured and that recent developments in the fields of computational intelligence such as computing with words can make a contribution. This session will follow on from the successful, special session entitled “Fuzzy Natural Language Processing” which was held at IEEE FUZZ 2013 in India and the hybrid special session held at the 2014 IEEE World Congress on Computational Intelligence in Beijing.
The session will provide a forum to disseminate and discuss recent and significant research efforts in fuzzy natural language processing.
The aim of this Special Session is therefore to explore new techniques and applications in the field of fuzzy natural language processing which capture the fuzzy nature of human language.
It invites researchers from different related fields and gathers the most recent studies including but not limited to:
Joao Paulo Carvalho has a PhD (2002) and MsC (1996) degrees from Instituto Superior Técnico, Technical University of Lisbon, Portugal, where he is currently a Professor at the Department of Electrical Engineering and Computation. He has taught courses on Computational Intelligence, Distributed Systems, Computer Architectures and Digital Circuits since 1998. He is also a senior researcher at L2F – Spoken Language Systems Laboratory, INESC-ID Lisboa, where he has been working since 1991. His current main research interest involves applying Computational Intelligence techniques to speech and natural language processing. He was program co-chair and organizer of IFSA-EUSFLAT 2009, webchair for IEEE WCCI 2010 and program committee member of several conferences in the area of computational intelligence. He has authored over 80 papers in international scientific Journals, book chapters and peer-reviewed conferences.
Kiyota Hashimoto is an Associate Professor in Information Technology in the School of Knowledge & Information Systems, College of Sustainable System Sciences, Osaka Prefecture University in Japan. He gained a B.A & M.A. Degree in Linguistics from Kyoto University in 1987 and 1989,
respectively, and a PhD in the field of education technology from Nara Institute of Science and Technology entitled “An Educational Technological Study on Computational Supports for Learning Linguistic Styles”. He is both a professional theoretical linguist and a computer scientist, which enables him to investigate issues in natural language processing in depth both from linguistic and computational perspectives. His main research interest includes Asian natural language processing, cross-lingual processing, education technology and e-learning, together with computational intelligence related to machine learning and agent simulation. He is a current member of Task Force of Data mining and Standards Committee of CIS, IEEE. He organized many special sessions, workshops, and conferences in IEEE WCCI 2012, IEEE CEC 2012, FUZZ-IEEE 2011, IEEE iCAST 2011, IEEE ISAC 2010, and other conferences.
James O’Shea is a Senior Lecturer in Computer Science at MMU. His PhD topic was “A Framework for Applying Short Text Semantic Similarity in Goal-Oriented Conversational Agents” (2010), which is pertinent to dialogue between the cognitively intelligent systems and human users in this programme. James’ research interests lie in the areas of both Adaptive Psychological Profiling and Conversational Agents. He was a key member of the team that developed the Silent Talker (ST) system, and is a named inventor on the patent relating to the system. He also contributed to the development of the FATHOM system. James has been an enthusiastic advocate of raising the public awareness of science, using ST as a vehicle, from presentations to the Airports Internal Europe Security Summit (Manchester 2003), BBC Radio 4’s “The Material World” (2003), UK Science Minister Lord Sainsbury (Manchester 2005), to his most recent appearance on “The Lying Game: the Criminals That Fooled Britain ” ITV (UK, 2014). He organised and hosted the 2011 Knowledge Engineering Society Conference on Agent and Multi-Agent Systems (General Chair, O’Shea, Programme Co-Chairs Crockett and Bandar), also pertinent to this programme. He also guest edited the International Journal of Intelligent Defence Support Systems “Special Issue on Improvised Explosive Devices.” He has published in excess of 48 articles in refereed journals and international conference proceedings. James is a member of the Institute of Electrical and Electronics Engineers (IEEE) and a lifetime silver member of the Knowledge Engineering Society
Organizers
Reader in Computational Intelligence
School of Computing, Maths and Digital Technology
Manchester Metropolitan University
Chester Street
Manchester
M1 5GDTel: 0161 247 1497
E-mail: K.Crockett@mmu.ac.uk
Prof. Dr. Joao Paulo Carvalho
INESC-ID
R. Alves Redol, 9
1000-029 Lisboa
Portugal
Tel: +351 962148272
Fax: +351 213145843
E-mail: joao.carvalho@inesc-id.pt
Prof. Dr. Kiyota Hashimoto
School of Knowledge and Information System
College of Sustainable System Sciences,
Osaka Prefecture University, Japan
1-1, Gakuen-cho, Naka Ward, Sakai, 599-8531, Japan
Tel & Fax: +81 72 254 9944
Email: hash@kis.osakafu-u.ac.jp
Dr James O’Shea
School of Computing, Maths and Digital Technology
Manchester Metropolitan University
Chester Street
Manchester
M1 5GD
E-mail: J.D.Oshea@mmu.ac.uk
The session will provide a forum to disseminate and discuss recent and significant research efforts in fuzzy natural language processing.
The aim of this Special Session is therefore to explore new techniques and applications in the field of fuzzy natural language processing which capture the fuzzy nature of human language.
It invites researchers from different related fields and gathers the most recent studies including but not limited to:
- fuzzy set models of human language
- fuzzy logic applications to human language processing
- fuzzy machine learning approach to human language
- fuzzy text mining
- fuzzy simulations of language use
- fuzzy ontology for human language
- fuzzy applications to the semantic web
- computing with words
Short biography of the organizer(s) and contact information:
Keeley Crockett is a Reader in Computational Intelligence in the School of Computing, Mathematics and Digital Technology at Manchester Metropolitan University in the UK. She gained a BSc Degree (Hons) in Computation from UMIST in 1993, and a PhD in the field of machine learning from the Manchester Metropolitan University in 1998 entitled "Fuzzy Rule Induction from Data Domains". She also obtained a P.G.C.E from The University of Huddersfield in June 2000. She is a knowledge engineer and founding member of Convagent Ltd, a company set up in collaboration with Manchester Metropolitan University, which provides business rule automation with natural language interfaces using conversational agents. She is also involved in a second University spin off company Silent Talker Ltd. She is a member of the Intelligent Systems Group which has established a strong international presence in its research into Conversational Agents and Adaptive Psychological Profiling including an international patent on "Silent Talker". Her main research interests include the areas of fuzzy decision trees, rule induction, applications of fuzzy theory, biologically inspired algorithms, text based similarity measures and the use of neural networks for psychological profiling. She is the current Chair of the IEEE Pre-College Activities committee, Vice-Chair of the IEEE Women into Computational Intelligence Society, CIS Travel Grant Administrator and a senior member of the IEEE Computational Intelligence Society and the IEEE Women In Engineering Society. She is the Student Activities co-chair for IEEE FUZZ 2015, was workshops co-chair for IEEE WCCI 2010, programme co-chair for 5th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications in 2011, and a technical co-chair for IEEE FUZZ 2012. She has authored over 87 publications in international scientific Journals, book chapters and peer-reviewed conferences.Joao Paulo Carvalho has a PhD (2002) and MsC (1996) degrees from Instituto Superior Técnico, Technical University of Lisbon, Portugal, where he is currently a Professor at the Department of Electrical Engineering and Computation. He has taught courses on Computational Intelligence, Distributed Systems, Computer Architectures and Digital Circuits since 1998. He is also a senior researcher at L2F – Spoken Language Systems Laboratory, INESC-ID Lisboa, where he has been working since 1991. His current main research interest involves applying Computational Intelligence techniques to speech and natural language processing. He was program co-chair and organizer of IFSA-EUSFLAT 2009, webchair for IEEE WCCI 2010 and program committee member of several conferences in the area of computational intelligence. He has authored over 80 papers in international scientific Journals, book chapters and peer-reviewed conferences.
Kiyota Hashimoto is an Associate Professor in Information Technology in the School of Knowledge & Information Systems, College of Sustainable System Sciences, Osaka Prefecture University in Japan. He gained a B.A & M.A. Degree in Linguistics from Kyoto University in 1987 and 1989,
respectively, and a PhD in the field of education technology from Nara Institute of Science and Technology entitled “An Educational Technological Study on Computational Supports for Learning Linguistic Styles”. He is both a professional theoretical linguist and a computer scientist, which enables him to investigate issues in natural language processing in depth both from linguistic and computational perspectives. His main research interest includes Asian natural language processing, cross-lingual processing, education technology and e-learning, together with computational intelligence related to machine learning and agent simulation. He is a current member of Task Force of Data mining and Standards Committee of CIS, IEEE. He organized many special sessions, workshops, and conferences in IEEE WCCI 2012, IEEE CEC 2012, FUZZ-IEEE 2011, IEEE iCAST 2011, IEEE ISAC 2010, and other conferences.
James O’Shea is a Senior Lecturer in Computer Science at MMU. His PhD topic was “A Framework for Applying Short Text Semantic Similarity in Goal-Oriented Conversational Agents” (2010), which is pertinent to dialogue between the cognitively intelligent systems and human users in this programme. James’ research interests lie in the areas of both Adaptive Psychological Profiling and Conversational Agents. He was a key member of the team that developed the Silent Talker (ST) system, and is a named inventor on the patent relating to the system. He also contributed to the development of the FATHOM system. James has been an enthusiastic advocate of raising the public awareness of science, using ST as a vehicle, from presentations to the Airports Internal Europe Security Summit (Manchester 2003), BBC Radio 4’s “The Material World” (2003), UK Science Minister Lord Sainsbury (Manchester 2005), to his most recent appearance on “The Lying Game: the Criminals That Fooled Britain ” ITV (UK, 2014). He organised and hosted the 2011 Knowledge Engineering Society Conference on Agent and Multi-Agent Systems (General Chair, O’Shea, Programme Co-Chairs Crockett and Bandar), also pertinent to this programme. He also guest edited the International Journal of Intelligent Defence Support Systems “Special Issue on Improvised Explosive Devices.” He has published in excess of 48 articles in refereed journals and international conference proceedings. James is a member of the Institute of Electrical and Electronics Engineers (IEEE) and a lifetime silver member of the Knowledge Engineering Society
Organizers
Organizers Contact Information
Dr Keeley A Crockett SMIEE MCIEAReader in Computational Intelligence
School of Computing, Maths and Digital Technology
Manchester Metropolitan University
Chester Street
Manchester
M1 5GDTel: 0161 247 1497
E-mail: K.Crockett@mmu.ac.uk
Prof. Dr. Joao Paulo Carvalho
INESC-ID
R. Alves Redol, 9
1000-029 Lisboa
Portugal
Tel: +351 962148272
Fax: +351 213145843
E-mail: joao.carvalho@inesc-id.pt
Prof. Dr. Kiyota Hashimoto
School of Knowledge and Information System
College of Sustainable System Sciences,
Osaka Prefecture University, Japan
1-1, Gakuen-cho, Naka Ward, Sakai, 599-8531, Japan
Tel & Fax: +81 72 254 9944
Email: hash@kis.osakafu-u.ac.jp
Dr James O’Shea
School of Computing, Maths and Digital Technology
Manchester Metropolitan University
Chester Street
Manchester
M1 5GD
E-mail: J.D.Oshea@mmu.ac.uk
Important Dates
- Paper submission February 8, 2015
- Notification of acceptance for papers March 23, 2015
- Camera-ready paper submission April 21, 2015
- Early registration deadline April 23, 2015
- Conference August 2-5, 2015
Submission of the papers
Please submit your papers for this special session to both the organizers and conference online submission system (http://fuzzieee2015.org/) by indicating the title of the special session.Tuesday, 13 January 2015
IEEE Transactions on Computational Intelligence and Artificial Intelligence in Games: Volume 6, Number 4, December 2014
1. Guest Editorial: General Games
Author(s): Browne, C. ; Togelius, J. ; Sturtevant, N.
Page(s): 317 - 319
2. The Game Description Language Is Turing Complete
Author(s): Saffidine, A.
Page(s): 320 - 324
A
3. An Extensible Description Language for Video Games
Author(s): Schaul, T.
Page(s): 325 - 331
4. The Axiom General Purpose Game Playing System
Author(s): Schmidt, G.
Page(s): 332 - 342
5. Efficiency of GDL Reasoners
Author(s): Schiffel, S. ; Bjornsson, Y.
Page(s): 343 - 354
6. A Neuroevolution Approach to General Atari Game Playing
Author(s): Hausknecht, M. ; Lehman, J. ; Miikkulainen, R. ; Stone, P.
Page(s): 355 - 366
7. Self-Adaptation of Playing Strategies in General Game Playing
Author(s): Swiechowski, M. ; Mandziuk, J.
Page(s): 367 - 381
8. EvoMCTS: A Scalable Approach for General Game Learning
Author(s): Benbassat, A. ; Sipper, M.
Page(s): 382 - 394
9. Decaying Simulation Strategies
Author(s): Tak, M.J.W. ; Winands, M.H.M. ; Bjornsson, Y.
Page(s): 395 - 406
10. 2015 IEEE conference on computational intelligence and games
Page(s): 407
Author(s): Browne, C. ; Togelius, J. ; Sturtevant, N.
Page(s): 317 - 319
2. The Game Description Language Is Turing Complete
Author(s): Saffidine, A.
Page(s): 320 - 324
A
3. An Extensible Description Language for Video Games
Author(s): Schaul, T.
Page(s): 325 - 331
4. The Axiom General Purpose Game Playing System
Author(s): Schmidt, G.
Page(s): 332 - 342
5. Efficiency of GDL Reasoners
Author(s): Schiffel, S. ; Bjornsson, Y.
Page(s): 343 - 354
6. A Neuroevolution Approach to General Atari Game Playing
Author(s): Hausknecht, M. ; Lehman, J. ; Miikkulainen, R. ; Stone, P.
Page(s): 355 - 366
7. Self-Adaptation of Playing Strategies in General Game Playing
Author(s): Swiechowski, M. ; Mandziuk, J.
Page(s): 367 - 381
8. EvoMCTS: A Scalable Approach for General Game Learning
Author(s): Benbassat, A. ; Sipper, M.
Page(s): 382 - 394
9. Decaying Simulation Strategies
Author(s): Tak, M.J.W. ; Winands, M.H.M. ; Bjornsson, Y.
Page(s): 395 - 406
10. 2015 IEEE conference on computational intelligence and games
Page(s): 407
Monday, 12 January 2015
IEEE Transactions on Autonomous Mental Development: Volume 6, Number 4, December 2014
1. Editorial: Renewal for the IEEE Transactions on Autonomous Mental Development
Author(s): Z. Zhang
Pages: 241-242
2. The Fourth IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob)2014: Conference Summary and Report
Author(s): G. Metta, L. Natale, and M. Lee
Pages: 243
a
3. Learning from Demonstration in Robots using the Shared Circuits Model
Author(s): K. M. U. Suleman and M. M. Awais
Pages: 244-258
4. A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot
Author(s): M. Antonelli, A. Gibaldi, F. Beuth, A. J. Duran, A. Canessa, M. Chessa, F. Solari, A. P. del Pobil, F. Hamker, E. Chinellato, and S. P. Sabatini
Pages: 259-273
5. A Wearable Camera Detects Gaze Peculiarities during Social Interactions in Young Children with PervasiveDevelopmental Disorders
Author(s): S. Magrelli, B. Noris, P. Jermann, F. Ansermet, F. Hentsch, J. Nadel, and A. G. Billard
Pages: 274-285
6. Optimal Rewards for Cooperative Agents
Author(s): B. Liu, S. Singh, R. L. Lewis, and S. Qin
Pages: 286-297
Author(s): Z. Zhang
Pages: 241-242
2. The Fourth IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob)2014: Conference Summary and Report
Author(s): G. Metta, L. Natale, and M. Lee
Pages: 243
a
3. Learning from Demonstration in Robots using the Shared Circuits Model
Author(s): K. M. U. Suleman and M. M. Awais
Pages: 244-258
4. A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot
Author(s): M. Antonelli, A. Gibaldi, F. Beuth, A. J. Duran, A. Canessa, M. Chessa, F. Solari, A. P. del Pobil, F. Hamker, E. Chinellato, and S. P. Sabatini
Pages: 259-273
5. A Wearable Camera Detects Gaze Peculiarities during Social Interactions in Young Children with PervasiveDevelopmental Disorders
Author(s): S. Magrelli, B. Noris, P. Jermann, F. Ansermet, F. Hentsch, J. Nadel, and A. G. Billard
Pages: 274-285
6. Optimal Rewards for Cooperative Agents
Author(s): B. Liu, S. Singh, R. L. Lewis, and S. Qin
Pages: 286-297
Saturday, 10 January 2015
IEEE Transactions on Neural Networks and Learning Systems: Volume 26, Issue 1, January 2015
1. Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)
Author(s): Xia Liu; Shaobo Lin; Jian Fang; Zongben Xu
Page(s): 7 - 20
2. Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Author(s): Shaobo Lin; Xia Liu; Jian Fang; Zongben Xu
Page(s): 21 - 34
3. Feature Selection Using a Neural Framework With Controlled Redundancy
Author(s): Rudrasis Chakraborty; Nikhil R. Pal
Page(s): 35 - 50
4. Pareto-Path Multitask Multiple Kernel Learning
Author(s): Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos
Page(s): 51 - 61
5. Learning Understandable Neural Networks With Nonnegative Weight Constraints
Author(s): Jan Chorowski; Jacek M. Zurada
Page(s): 62 - 69
6. A Latent Manifold Markovian Dynamics Gaussian Process
Author(s): Sotirios P. Chatzis; Dimitrios Kosmopoulos
Page(s): 70 - 83
7. Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays
Author(s): R. Rakkiyappan; Jinde Cao; G. Velmurugan
Page(s): 84 - 97
8. Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning
Author(s): Vijay Manikandan Janakiraman; XuanLong Nguyen; Jeff Sterniak; Dennis Assanis
Page(s): 98 - 112
9. Synchronization of Nonlinear Coupled Networks via Aperiodically Intermittent Pinning Control
Author(s): Xiwei Liu; Tianping Chen
Page(s): 113 - 126
10. Digital Implementation of a Biological Astrocyte Model and Its Application
Author(s): Hamid Soleimani; Mohammad Bavandpour; Arash Ahmadi; Derek Abbott
Page(s): 127 - 139
11. Actor–Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems
Author(s): Bahare Kiumarsi; Frank L. Lewis
Page(s): 140 - 151
12. Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD
Author(s): Mu Li; Wei Bi; James T. Kwok; Bao-Liang Lu
Page(s): 152 - 164
13. Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems
Author(s): Yan-Jun Liu; Li Tang; Shaocheng Tong; C. L. Philip Chen; Dong-Juan Li
Page(s): 165 - 176
14. Nonsmooth ICA Contrast Minimization Using a Riemannian Nelder–Mead Method
Author(s): Suviseshamuthu Easter Selvan
Page(s): 177 - 183
Author(s): Xia Liu; Shaobo Lin; Jian Fang; Zongben Xu
Page(s): 7 - 20
2. Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Author(s): Shaobo Lin; Xia Liu; Jian Fang; Zongben Xu
Page(s): 21 - 34
3. Feature Selection Using a Neural Framework With Controlled Redundancy
Author(s): Rudrasis Chakraborty; Nikhil R. Pal
Page(s): 35 - 50
4. Pareto-Path Multitask Multiple Kernel Learning
Author(s): Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos
Page(s): 51 - 61
5. Learning Understandable Neural Networks With Nonnegative Weight Constraints
Author(s): Jan Chorowski; Jacek M. Zurada
Page(s): 62 - 69
6. A Latent Manifold Markovian Dynamics Gaussian Process
Author(s): Sotirios P. Chatzis; Dimitrios Kosmopoulos
Page(s): 70 - 83
7. Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays
Author(s): R. Rakkiyappan; Jinde Cao; G. Velmurugan
Page(s): 84 - 97
8. Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning
Author(s): Vijay Manikandan Janakiraman; XuanLong Nguyen; Jeff Sterniak; Dennis Assanis
Page(s): 98 - 112
9. Synchronization of Nonlinear Coupled Networks via Aperiodically Intermittent Pinning Control
Author(s): Xiwei Liu; Tianping Chen
Page(s): 113 - 126
10. Digital Implementation of a Biological Astrocyte Model and Its Application
Author(s): Hamid Soleimani; Mohammad Bavandpour; Arash Ahmadi; Derek Abbott
Page(s): 127 - 139
11. Actor–Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems
Author(s): Bahare Kiumarsi; Frank L. Lewis
Page(s): 140 - 151
12. Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD
Author(s): Mu Li; Wei Bi; James T. Kwok; Bao-Liang Lu
Page(s): 152 - 164
13. Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems
Author(s): Yan-Jun Liu; Li Tang; Shaocheng Tong; C. L. Philip Chen; Dong-Juan Li
Page(s): 165 - 176
14. Nonsmooth ICA Contrast Minimization Using a Riemannian Nelder–Mead Method
Author(s): Suviseshamuthu Easter Selvan
Page(s): 177 - 183
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