IEEE Transactions on Autonomous Mental Development: Volume 5, Issue 2, 2013

1. Brain-Like Emergent Temporal Processing: Emergent Open States
Author(s): Juyang Weng ; Luciw, M.D. ; Qi Zhang
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6504480

2. A Simple Ontology of Manipulation Actions Based on Hand-Object Relations
Author(s): Worgotter, F. ; Aksoy, E.E. ; Kruger, N. ; Piater, J. ; Ude, A. ; Tamosiunaite, M.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493410

3. An Autonomous Social Robot in Fear
Author(s): Castro-Gonzalez, A. ; Malfaz, M. ; Salichs, M.A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493412

4. Adaptability of Tacit Learning in Bipedal Locomotion
Author(s): Shimoda, S. ; Yoshihara, Y. ; Kimura, H.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6491448

5. Reaching for the Unreachable: Reorganization of Reaching with Walking
Author(s): Grzyb, B.J. ; Smith, L.B. ; del Pobil, A.P.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493413

6. Redundant Neural Vision Systems—Competing for Collision Recognition Roles
Author(s): Shigang Yue ; Rind, F.C.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6491449

IEEE Transactions on Computational Intelligence and AI in Games: Volume 5, Issue 2, 2013

1. Guest Editorial: Brain/neuronal - Computer game interfaces and interaction
Author(s): Coyle, D. ; Principe, J. ; Lotte, F. ; Nijholt, A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6528021

2. Games, Gameplay, and BCI: The State of the Art
Author(s): Marshall, D. ; Coyle, D. ; Wilson, S. ; Callaghan, M.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6518141

3. Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device
Author(s): Chumerin, N. ; Manyakov, N.V. ; van Vliet, M. ; Robben, A. ; Combaz, A. ; Van Hulle, M.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6334432

4.Toward Contextual SSVEP-Based BCI Controller: Smart Activation of Stimuli and Control Weighting
Author(s): Legeny, J. ; Viciana-Abad, R. ; Lecuyer, A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6509428

5. Thinking Penguin: Multimodal Brain–Computer Interface Control of a VR Game
Author(s): Leeb, R. ; Lancelle, M. ; Kaiser, V. ; Fellner, D.W. ; Pfurtscheller, G.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418003

6. Controlling a Tactile ERP–BCI in a Dual Task
Author(s): Thurlings, M.E. ; Van Erp, J.B.F. ; Brouwer, A.-M. ; Werkhoven, P.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461930

7. Adapting the P300-Based Brain–Computer Interface for Gaming: A Review
Author(s): Kaplan, A. ; Shishkin, S. ; Ganin, I. ; Basyul, I. ; Zhigalov, A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6401177

8. Evaluation and Comparison of a Multimodal Combination of BCI Paradigms and Eye Tracking With Affordable Consumer-Grade Hardware in a Gaming Context
Author(s): Kos'myna, N. ; Tarpin-Bernard, F.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6451193

9. On the Use of Games for Noninvasive EEG-Based Functional Brain Mapping
Author(s): Scherer, R. ; Moitzi, G. ; Daly, I. ; Muller-Putz, G.R.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6472046

10. Electroencephalogram and Physiological Signal Analysis for Assessing Flow in Games
Author(s): Berta, R. ; Bellotti, F. ; De Gloria, A. ; Pranantha, D. ; Schatten, C.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6509413

11. Experiencing BCI Control in a Popular Computer Game
Author(s): van de Laar, B. ; Gurkok, H. ; Plass-Oude Bos, D. ; Poel, M. ; Nijholt, A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6484110

12. Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery
Author(s): Bonnet, L. ; Lotte, F. ; Lecuyer, A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400237

Reminder: paper submission deadline for TAAI 2013

A reminder that the deadline for submitting paper to the Conference on Technologies and Applications of Artificial Intelligence 2013 is 1 August 2013. This conference will be held in Taipei, Taiwan, 6-8 December 2013.

IJCNN Early registration deadline

The deadline for early registration at the International Joint Conference on Neural Networks (IJCNN) 2013 is rapidly approaching: it is the 15th of June.

IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 8, July 2013

1. Enhancing Synchronizability of Diffusively Coupled Dynamical Networks: A Survey
Author(s): Mahdi Jalili
Page(s): 1009 - 1022

2. Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition
Author(s): Jian Yang; Delin Chu; Lei Zhang; Yong Xu; Jingyu Yang
Page(s): 1023 - 1035

3. Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble
Author(s): Chunyang Sheng; Jun Zhao; Wei Wang; Henry Leung
Page(s): 1036 - 1048

4. Bayesian Learning for Spatial Filtering in an EEG-Based Brain–Computer Interface
Author(s): Haihong Zhang; Huijuan Yang; Cuntai Guan
Page(s): 1049 - 1060

5. Neural Network-Based Optimal Adaptive Output Feedback Control of a Helicopter UAV
Author(s): David Nodland; Hassan Zargarzadeh; Sarangapani Jagannathan
Page(s): 1061 - 1073

6. Random Sampler M-Estimator Algorithm With Sequential Probability Ratio Test for Robust Function Approximation Via Feed-Forward Neural Networks
Author(s): Moumen T. El-Melegy
Page(s): 1074 - 1085

7. Incorporating Privileged Information Through Metric Learning
Author(s): Shereen Fouad; Peter Tino; Somak Raychaudhury; Petra Schneider
Page(s): 1086 - 1098

8. Novel Range-Free Localization Based on Multidimensional Support Vector Regression Trained in the Primal Space
Author(s): Jaehun Lee; Baehoon Choi; Euntai Kim
Page(s): 1099 - 1113

9. Exponential H-infinity Synchronization and State Estimation for Chaotic Systems Via a Unified Model
Author(s): Meiqin Liu; Senlin Zhang; Zhen Fan; Shiyou Zheng; Weihua Sheng
Page(s): 1114 - 1126

10. A Quadratically Constrained MAP Classifier Using the Mixture of Gaussians Models as a Weight Function
Author(s): Tatsuya Yokota; Yukihiko Yamashita
Page(s): 1127 - 1140

11. Pinning Consensus in Networks of Multiagents via a Single Impulsive Controller
Author(s): Bo Liu; Wenlian Lu; Tianping Chen
Page(s): 1141 - 1149

12. Robust Adaptive Dynamic Programming With an Application to Power Systems
Author(s): Yu Jiang; Zhong-Ping Jiang
Page(s): 1150 - 1156

13. Structure of Indicator Function Classes With Finite Vapnik–Chervonenkis Dimensions
Author(s): Chao Zhang; Dacheng Tao
Page(s): 1156 - 1160

14. Approximating Gaussian Mixture Model or Radial Basis Function Network With Multilayer Perceptron
Author(s): Ajay M. Patrikar
Page(s): 1161 - 1166

15. A Novel Approach to the Problem of Non-uniqueness of the Solution in Hierarchical Clustering
Author(s): Isabella Cattinelli; Giorgio Valentini; Eraldo Paulesu; Nunzio Alberto Borghese
Page(s): 1166 - 1173

Conference paper deadline: AI 2013

The deadline for submitting papers to the 26th Australasian Joint Conference on Artificial Intelligence (AI 2013) is 1 July 2013. This conference will be held in Dunedin, New Zealand, 1-6 December, 2013.

I lived in Dunedin for a long time, and I know that the weather in early December is very changeable. If you go to this conference, I'd recommend that you pack clothing that can be worn in layers, take an umbrella, and sunscreen. It is entirely possible that it will be bitterly cold and wet in the morning, and bright and sunny in the afternoon.

IEEE Transactions on Fuzzy Systems: Volume 21, Issue 3, June 2013

1. IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection
Author(s): Sanz, J.A. ; Fernandez, A. ; Bustince, H. ; Herrera, F.

2. Fuzzy Rules Interpolation for Sparse Fuzzy Rule-Based Systems Based on Interval Type-2 Gaussian Fuzzy Sets and Genetic Algorithms
Author(s): Chen, S.-M. ; Chang, Y.-C. ; Pan, J.-S.

3. On KM Algorithms for Solving Type-2 Fuzzy Set Problems
Author(s): Mendel, J.M.

4. A Method for Deriving the Analytical Structure of a Broad Class of Typical Interval Type-2 Mamdani Fuzzy Controllers
Author(s): Zhou, H. ; Ying, H.

5. Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems
Author(s): Cara, A.B. ; Wagner, C. ; Hagras, H. ; Pomares, H. ; Rojas, I.

6. Reduced Interval Type-2 Neural Fuzzy System Using Weighted Bound-Set Boundary Operation for Computation Speedup and Chip Implementation
Author(s): Juang, C.-F. ; Juang, K.-J.

7. A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) With Self-Evolving Structure and Parameters
Author(s): Lin, Y.-Y. ; Chang, J.-Y. ; Pal, N.R. ; Lin, C.-T.

8. Multicriteria Decision-Making Approach Based on Atanassov's Intuitionistic Fuzzy Sets With Incomplete Certain Information on Weights
Author(s): Wang, J.-Q. ; Zhang, H.-Y.

9. Delayed Impulsive Control of Takagi–Sugeno Fuzzy Delay Systems
Author(s): Chen, W.-H. ; Wei, D. ; Zheng, W.X.

10. Communication Between Information Systems Using Fuzzy Rough Sets
Author(s): Tsang, E.C.C. ; Wang, C. ; Chen, D. ; Wu, C. ; Hu, Q.

11. Distributive Equations of Fuzzy Implications Based on Continuous Triangular Conorms Given as Ordinal Sums
Author(s): Xie, A. ; Li, C. ; Liu, H.

12. Fuzzy Implications Derived From Generalized Additive Generators of Representable Uninorms
Author(s): Liu, H-.W.

13. Complex Neurofuzzy ARIMA Forecasting—A New Approach Using Complex Fuzzy Sets
Author(s): Li, C. ; Chiang, T.-W.

14. A Possibilistic Mean-Downside Risk-Skewness Model for Efficient Portfolio Selection
Author(s): Vercher, E. ; Bermudez, J.D.

IEEE Transactions on evolutionary Computation: Volume 17, Issue 3, June 2013

1. Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming
Author(s): Kim, K. ; McKay, R.I.

2. A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications 
Author(s): Ponsich, A. ; Jaimes, A.L. ; Coello, C.A.C.

3. A Note on Generalization Loss When Evolving Adaptive Pattern Recognition Systems
Author(s): Igel, C.

4. A Novel Genetic Programming Approach for Frequency-Dependent Modeling
Author(s): Pordanjani, I.R. ; Mazin, H.E. ; Xu, W.

5. Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data
Author(s): Bhowan, U. ; Johnston, M. ; Zhang, M. ; Yao, X.

6. A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization
Author(s): Qu, B.Y. ; Suganthan, P.N. ; Das, S.

7. Genetic Variation and the Evolution of Consensus in Digital Organisms
Author(s): Knoester, D.B. ; Goldsby, H.J. ; McKinley, P.K.

8. A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms
Author(s): Sudholt, D.

9. A New Particle Swarm Optimization Method Enhanced With a Periodic Mutation Strategy and Neural Networks
Author(s): Pehlivanoglu, Y.V.

IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 7, June 2013

1. Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming
Author(s): Kim, K. ; McKay, R.I.

2. A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications
Author(s): Ponsich, A. ; Jaimes, A.L. ; Coello, C.A.C.

3. A Note on Generalization Loss When Evolving Adaptive Pattern Recognition Systems
Author(s): Igel, C.

4. A Novel Genetic Programming Approach for Frequency-Dependent Modeling
Author(s): Pordanjani, I.R. ; Mazin, H.E. ; Xu, W.

5. Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data
Author(s): Bhowan, U. ; Johnston, M. ; Zhang, M. ; Yao, X.

6. A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization
Author(s): Qu, B.Y. ; Suganthan, P.N. ; Das, S.

7. Genetic Variation and the Evolution of Consensus in Digital Organisms
Author(s): Knoester, D.B. ; Goldsby, H.J. ; McKinley, P.K.

8. A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms
Author(s): Sudholt, D.

9. A New Particle Swarm Optimization Method Enhanced With a Periodic Mutation Strategy and Neural Networks
Author(s): Pehlivanoglu, Y.V.

Reminder: conference paper deadline for CIS 2013

A reminder that the deadline for submitting papers to the 9th International Conference on Computational Intelligence and Security (CIS) 2013 is 30 June 2013. This conference will be held at Mount Emei, Sichuan Province, China, December 14-15 2013.

Neural Networks: 22-28 June

1. The learning problem of multi-layer neural networks
Author(s): Jung-Chao Ban, Chih-Hung Chang

2. Active learning for noisy oracle via density power divergence 
Author(s): Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
   
3. Integer sparse distributed memory: Analysis and results  
Author(s): Javier Snaider, Stan Franklin, Steve Strain, E. Olusegun George
   
4. Characterization of seizure-like events recorded in vivo in a mouse model of Rett syndrome  
Author(s): Sinisa Colic, Robert G. Wither, Liang Zhang, James H. Eubanks, Berj L. Bardakjian

Neural Networks: 7-13 May , 2013

1. Stochastic sampled-data control for state estimation of time-varying delayed neural networks
Author(s): Tae H. Lee, Ju H. Park, O.M. Kwon, S.M. Lee
   
2. Interval data clustering using self-organizing maps based on Mahalanobis distances
Author(s): Chantal Hajjar, Hani Hamdan
   
3. A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays  
Author(s): He Huang, Tingwen Huang, Xiaoping Chen
   
4. Gap junctions facilitate propagation of synchronous firing in the cortical neural population: A numerical simulation study  
Author(s): Takashi Shinozaki, Yasushi Naruse, Hideyuki Câteau
   
5. Generation and annihilation of localized persistent-activity states in a two-population neural-field model
Author(s): M. Yousaf, B. Kriener, J. Wyller, G.T. Einevoll
   
6. A comment on “ image -stability and image -synchronization for fractional-order neural networks”  
Author(s): Li Kexue, Peng Jigen, Gao Jinghuai
   
7. Neuron as a reward-modulated combinatorial switch and a model of learning behavior  
Author(s): Marat M. Rvachev

IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 6, June 2013

1. Algorithmic Survey of Parametric Value Function Approximation
Author(s): Matthieu Geist; Olivier Pietquin
Page(s): 845 - 867
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471847

2. Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete  and Continuously Distributed Delays
Author(s): Xiaodi Li; Shiji Song
Page(s): 868 - 877
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6487407

3. Effective Neural Network Ensemble Approach for Improving Generalization Performance
Author(s): Jing Yang; Xiaoqin Zeng; Shuiming Zhong; Shengli Wu
Page(s): 878 - 887
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6469240

4. Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data
Author(s): Cristiano L. Castro; Antonio P. Braga
Page(s): 888 - 899
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6469237

5. Robust Kernel Representation With Statistical Local Features for Face Recognition
Author(s): Meng Yang; Lei Zhang; Simon Chi-Keung Shiu; David Zhang
Page(s): 900 - 912
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239

6. Adaptive Learning in Tracking Control Based on the Dual Critic Network Design
Author(s): Zhen Ni; Haibo He; Jinyu Wen
Page(s): 913 - 928
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6476025

7. Sparse Coding From a Bayesian Perspective
Author(s): Xiaoqiang Lu; Yulong Wang; Yuan Yuan
Page(s): 929 - 939
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6472078

8. FSMRank: Feature Selection Algorithm for Learning to Rank
Author(s): Han-Jiang Lai; Yan Pan; Yong Tang; Rong Yu
Page(s): 940 - 952
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6476738

9. Fractional Norm Regularization: Learning With Very Few Relevant Features
Author(s): Ata Kaban
Page(s): 953 - 963
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477145

10. Exponential Family Factors for Bayesian Factor Analysis
Author(s): Jun Li; Dacheng Tao
Page(s): 964 - 976
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477146

11. Backtrackless Walks on a Graph
Author(s): Furqan Aziz; Richard C. Wilson; Edwin R. Hancock
Page(s): 977 - 989
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6478830

12. Fast-Convergent Double-Sigmoid Hopfield Neural Network as Applied to Optimization Problems
Author(s): Zekeriya Uykan
Page(s): 990 - 996
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6468109

13. Synchronization Design of Boolean Networks Via the Semi-Tensor Product Method
Author(s): Rui Li; Meng Yang; Tianguang Chu
Page(s): 996 - 1001
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6476026

14. Bogdanov–Takens Singularity in Tri-Neuron Network With Time Delay
Author(s): Xing He; Chuandong Li; Tingwen Huang; Chaojie Li
Page(s): 1001 - 1007
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6478832

IEEE TNNLS Special Issue CFP: Learning in Non-(geo)metric Spaces

The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) is calling for submissions for a special issue on Learning in Non-(geo)metric Spaces. The deadline for submissions to this special issue is October 1, 2014. More details can be found here.

CFP Acta Automatica Sinica Special Issue on Extensions of Reinforcement Learning and Adaptive Control

The journal Acta Automatica Sinica is calling for submissions to a special issue entitled Extensions of Reinforcement Learning and Adaptive Control. The deadline for submissions to this special issue is 31 August, 2013. More details can be found here.

IEEE TFS Special Issue CFP: Web-Based Intelligence Support Systems using Fuzzy Set Technology

An upcoming special issue of the IEEE Transactions on Fuzzy Systems is Web-Based Intelligence Support Systems using Fuzzy Set Technology. The deadline for submitting papers to this special issue is August 1, 2013. More details are available here.

Nominations for INNS Awards 2014

 The International Neural Network Society's Awards Program is established to recognize individuals who have made outstanding contributions in the field of Neural Networks. Up to three awards, at most one in each category, of $1,000 each, are presented annually to senior, highly accomplished researchers for outstanding contributions made in the field of Neural Networks.

The Hebb, Helmholtz and Gabor Awards:

The Hebb Award - recognizes achievement in biological learning.

The Helmholtz Award - recognizes achievement in sensation/perception.

The Gabor Award - recognizes achievement in engineering/application.

Young Investigator Awards:

Up to two awards of $500 each are presented annually to individuals with no more than five years postdoctoral experience and who are under forty years of age, for significant contributions in the field of Neural Networks.


Nominations:

1. The Awards Committee should receive nominations of no more than two pages in length, specifying:

• The award category (Hebb, Helmholtz, Gabor, or Young Investigator) for which the candidate is being nominated.

• The reasons for which the nominee should be considered for the award.

• A list of at least five of the nominee's important and published papers. 

2. The curriculum vitae of both the nominee and the nominator must be included with the nomination, including the name, address, position/title, phone, fax, and e-mail address for both the nominee and nominator.

3. The nominator must be an INNS member in good standing. Nominees do not have to be INNS members. If an award recipient is not an INNS member, they shall receive a free one-year INNS membership.

4. Nominators may not nominate themselves or their family members.

5. Individuals may not receive the same INNS Award more than once.

All nominations will be considered by the Awards Committee and selected ones forwarded to the INNS Board of Governors, along with the Committee's recommendations for award recipients. Voting shall be performed by the entire BoG.

The Awards Committee:

INNS Award Committee consists of the chair (Prof. Leonid Perlovsky) and two other members. All members must be INNS Governors in the year that they are appointed.

Please email the 2014 nominations along with their attachments directly to the chair of the Awards Committee at leonid@seas.harvard.edu, with a copy to the Secretary of the Society at hava@cs.umass.edu by June 1, 2013. Please use the following subject line in the email: INNS award nomination.

Conference paper deadline: IDEAL'13

The deadline for submitting papers to the 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) 2013 is the 24th of May, 2013. This conference will be held in Hefei, China, 20-23 October, 2013.

I visited Hefei in 2005, and really enjoyed it. It was a very friendly, and rapidly-developing, city and I can thoroughly recommend it.

Reminder: paper submission deadline for TAAI 2013

A reminder that the deadline for submitting paper to the Conference on Technologies and Applications of Artificial Intelligence 2013 is 1 August 2013. This conference will be held in Taipei, Taiwan, 6-8 December 2013.