IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 9, August 2013

1. Sampled-Data Exponential Synchronization of Complex Dynamical Networks With Time-Varying Coupling Delay
Author(s): Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 1177 - 1187

2. Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering
Author(s): Liping Jing; Michael K. Ng; Tieyong Zeng
Page(s): 1188 - 1199

3. Knowledge-Leverage-Based TSK Fuzzy System Modeling
Author(s): Zhaohong Deng; Yizhang Jiang; Kup-Sze Choi; Fu-Lai Chung; Shitong Wang
Page(s): 1200 - 1212

4. A Cognitive Fault Diagnosis System for Distributed Sensor Networks
Author(s): Cesare Alippi; Stavros Ntalampiras; Manuel Roveri
Page(s): 1213 - 1226

5. Boundedness and Complete Stability of Complex-Valued Neural Networks With Time Delay
Author(s): Bo Zhou; Qiankun Song
Page(s): 1227 - 1238

6. Fast Neuromimetic Object Recognition Using FPGA Outperforms GPU Implementations
Author(s): Garrick Orchard; Jacob G. Martin; R. Jacob Vogelstein; Ralph Etienne-Cummings
Page(s): 1239 - 1252

7. Improving the Quality of Self-Organizing Maps by Self-Intersection Avoidance
Author(s): Ezequiel Lopez-Rubio
Page(s): 1253 - 1265

8. Quantum-Based Algorithm for Optimizing Artificial Neural Networks
Author(s): Tzyy-Chyang Lu; Gwo-Ruey Yu; Jyh-Ching Juang
Page(s): 1266 - 1278

9. Hinging Hyperplanes for Time-Series Segmentation
Author(s): Xiaolin Huang; Marin Matijas; Johan A. K. Suykens
Page(s): 1279 - 1291

10. Ranking Graph Embedding for Learning to Rerank
Author(s): Yanwei Pang; Zhong Ji; Peiguang Jing; Xuelong Li
Page(s): 1292 - 1303

11. Feasibility and Finite Convergence Analysis for Accurate On-Line $nu$-Support Vector Machine
Author(s): Bin Gu; Victor S. Sheng
Page(s): 1304 - 1315

12. Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects
Author(s): Wenbing Zhang; Yang Tang; Qingying Miao; Wei Du
Page(s): 1316 - 1326

13. Analysis of Boundedness and Convergence of Online Gradient Method for Two-Layer Feedforward Neural Networks
Author(s): Lu Xu; Jinshu Chen; Defeng Huang; Jianhua Lu; Licai Fang
Page(s): 1327 - 1338

14. Phase-Noise-Induced Resonance in Arrays of Coupled Excitable Neural Models
Author(s): Xiaoming Liang; Liang Zhao
Page(s): 1339 - 1345

Conference paper deadline: PAKDD 2014

The deadline for the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2014 is 16 September 2013. This conference will be held in Tainan, Taiwan, 13-16 May 2014.

Conference paper deadline: SCDM 2014

The deadline for submitting papers to the First International Conference on Data Mining (SCDM) 2014 is 15 December 2014. This conference will be held in Kuala Lumpur, Malaysia, 16-18 June, 2014.

Conference paper deadline: TAAI 2013

The deadline for submitting papers to the 2013 International Conference on Technologies and Applications of Artificial Intelligence (TAAI) is 23 August 2013. This conference will be held in Taipei, Taiwan, 6-8 December, 2013.

Conference paper deadline: ICMLC 2014

The deadline for submitting papers to the 6th International Conference on Machine Learning and Computing (ICMLC) 2014 is 20 August 2013. This conference will be held in Toronto, Canada, 10-12 January, 2014.

Neural Networks: 9-15 July 2013

1. Is mutual information adequate for feature selection in regression?  
Author(s): Benoît Frénay, Gauthier Doquire, Michel Verleysen

2. An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion
Author(s): Yuanyuan Liu, L.C. Jiao, Fanhua Shang, Fei Yin, F. Liu

Paper submission deadline: ICC 2014

The deadline for submitting papers to the International Conference on Intelligent Cloud Computing (ICC) 2014 is September 30, 2013. This conference will be held 24-26 February in Muscat, Oman.

Conference paper deadline: WSDM 2014

The deadline for submitting abstracts to the 7th International Conference on Web Search and Data Mining (WSDM) 2014 is 19 August 2013. The deadline for submitting full papers is 26 August 2013. This conference will be held in New York City 24-28 February, 2014.

Neural Networks: 2-8 July, 2013

1. A model of task-specific focal dystonia  
Author(s): Eckart Altenmüller, Dieter Müller

2. Universal approximation by radial basis function networks of Delsarte translates  
Author(s): Cristian Arteaga, Isabel Marrero
  
3. Neural architecture design based on extreme learning machine  
Author(s): Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
    
4. Stochastic stability of discrete-time Markovian jump delay neural networks with impulses and incomplete information on transition probability  
Author(s): Yu Zhang

IEEE CIS Second Annual Video Competition

This is cross-posted from the IEEE Computational Intelligence Society blog.
 

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The IEEE Computational Intelligence Society is running its second annual video competition. The competition is to create a video on one of the following subjects:

• Neural Networks
• Evolutionary Computation
• Hybrid Intelligent Systems

The first prize is US$600, second prize is US$500, and third prize is US$400. Registration of interest must be received by the 1st of August, 2013, videos received by 14th of October, 2013, and the winners will be announced on the 1st of December, 2013.

More details can be found here.

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.

Reminder: paper submission deadline for ICONIP 2013

A reminder that the paper submission deadline for the 20th International Conference on Neural Information Processing (ICONIP) 2013 is 1 June 2013. This conference will be held in Daegu, Korea, 3-7 November, 2013.

Reminder: conference paper deadline for ICACI 2013

A reminder that the deadline for submitting papers to the International Conference on Advanced Computational Intelligence (ICACI) 2013 is June 1 2013. This conference will be held in Hangzhou, China, 19-21 October, 2013.

Neural Networks Volume 42 June 2013

Cognitive Science

1. Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition
Author(s): Yu Chen, Wei-Shi Zheng, Xiao-Hong Xu, Jian-Huang Lai
Pages: 28-43
http://www.sciencedirect.com/science/article/pii/S0893608013000130

Learning Systems

2. Probabilistic DHP adaptive critic for nonlinear stochastic control systems
Author(s): Randa Herzallah
Pages: 74-82
http://www.sciencedirect.com/science/article/pii/S0893608013000294

3. Learning in compressed space
Author(s): Alexander Fabisch, Yohannes Kassahun, Hendrik Wöhrle, Frank Kirchner
Pages: 83-93
http://www.sciencedirect.com/science/article/pii/S089360801300035X


Mathematical and Computational Analysis

4. Wavelet neural networks: A practical guide
Author(s): Antonios K. Alexandridis, Achilleas D. Zapranis
Pages: 1-27
http://www.sciencedirect.com/science/article/pii/S0893608013000129

5. A model of analogue K-winners-take-all neural circuit
Author(s): Pavlo V. Tymoshchuk
Pages: 44-61
http://www.sciencedirect.com/science/article/pii/S0893608013000282


Engineering and Applications

6. Synthesis of high-complexity rhythmic signals for closed-loop electrical neuromodulation
Author(s): Osbert C. Zalay, Berj L. Bardakjian
Pages: 62-73
http://www.sciencedirect.com/science/article/pii/S0893608013000099

Neural Networks Special Issue CFP

Affective and Cognitive Learning Systems for Big Social Data Analysis

 

Guest Editors
Amir Hussain (Lead Guest Editor), University of Stirling, United Kingdom (ahu@cs.stir.ac.uk)
Erik Cambria, National University of Singapore, Singapore (cambria@nus.edu.sg)
Björn Schuller, Technische Universität München, Germany (schuller@tum.de)
Newton Howard, MIT Media Laboratory, USA (nhmit@mit.edu)

Background and Motivation
As the Web rapidly evolves,Web users are evolving with it. In an era of social connectedness, people are becoming more and more enthusiastic about interacting, sharing, and collaborating through social networks, online communities, blogs, Wikis, and other online collaborative media. In recent years, this collective intelligence has spread to many different areas, with particular focus on fields related to everyday life such as commerce, tourism, education, and health, causing the size of the Web to expand exponentially. The distillation of knowledge from such a large amount of unstructured information, however, is an extremely difficult task, as the contents of today’s Web are perfectly suitable for human consumption, but remain hardly accessible to machines. The opportunity to capture the opinions of the general public about social events, political movements, company strategies, marketing campaigns, and product preferences has raised growing interest both within the scientific community, leading to many exciting open challenges, as well as in the business world, due to the remarkable benefits to be had from marketing and financial market prediction.

 

Existing approaches to opinion mining mainly rely on parts of text in which sentiment is explicitly expressed, e.g., through polarity terms or affect words (and their co-occurrence frequencies). However, opinions and sentiments are often conveyed implicitly through latent semantics, which make purely syntactical approaches ineffective. In this light, this Special Issue focuses on the introduction, presentation, and discussion of novel techniques that further develop and apply big data analysis tools and techniques for sentiment analysis. A key motivation for this Special Issue, in particular, is to explore the adoption of novel affective and cognitive learning systems to go beyond a mere word-level analysis of natural language text and provide novel concept-level tools and techniques that allow a more efficient passage from (unstructured) natural language to (structured) machine-processable data, in potentially any domain.

 

Articles are thus invited in areas such as machine learning, weakly supervised learning, active learning, transfer learning, deep neural networks, novel neural and cognitive models, data mining, pattern recognition, knowledge-based systems, information retrieval, natural language processing, and big data computing. Topics include, but are not limited to:

• Machine learning for big social data analysis
• Biologically inspired opinion mining
• Semantic multi-dimensional scaling for sentiment analysis
• Social media marketing
• Social media analysis, representation, and retrieval
• Social network modeling, simulation, and visualization
• Concept-level opinion and sentiment analysis
• Patient opinion mining
• Sentic computing
• Multilingual sentiment analysis
• Time-evolving sentiment tracking
• Cross-domain evaluation
• Domain adaptation for sentiment classification
• Multimodal sentiment analysis
• Multimodal fusion for continuous interpretation of semantics
• Human-agent, -computer, and -robot interaction
• Affective common-sense reasoning
• Cognitive agent-based computing
• Image analysis and understanding
• User profiling and personalization
• Affective knowledge acquisition for sentiment analysis

The Special Issue also welcomes papers on specific application domains of big social data analysis, e.g., influence networks, customer experience management, intelligent user interfaces, multimedia management, computer-mediated human-human communication, enterprise feedback management, surveillance, art. The authors will be required to follow the Author’s Guide for manuscript submission to Elsevier Neural Networks.

Timeframe
Call for Papers out: April 2013
Submission Deadline: August 1, 2013
Notification of Acceptance: November 1, 2013
Final Manuscripts Due: December 1, 2013
Date of Publication: March 2014

Composition and Review Procedures
The Elsevier Neural Networks Special Issue on Affective and Cognitive Learning Systems for Big Social Data Analysis will consist of papers on novel methods and techniques that further develop and apply big data analysis tools and techniques in the context of opinion mining and sentiment analysis. Some papers may survey various aspects of the topic. The balance between these will be adjusted to maximize the issue’s impact. All articles are expected to successfully negotiate the standard review procedures for Elsevier Neural Networks. Authors are required to follow Elsevier Neural Networks proceedings templates and to submit their manuscripts at http://ees.elsevier.com/neunet.

Reminder: paper submission deadline: AAIA 2013

A reminder that the deadline for submitting papers to the 8th International Symposium Advances in Artificial Intelligence and Applications is 12 May 2013. This conference will be held in Krakow, Poland, 8-11 September 2013.

Neural Networks: New articles 2-8 April, 2013

1. Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition
Author(s): Yu Chen, Wei-Shi Zheng, Xiao-Hong Xu, Jian-Huang Lai
Pages: 28-43

2. Probabilistic DHP adaptive critic for nonlinear stochastic control systems
Author(s): Randa Herzallah
Pages: 74-82

3. Learning in compressed space
Author(s): Alexander Fabisch, Yohannes Kassahun, Hendrik Wöhrle, Frank Kirchner
Pages: 83-93

4. Wavelet neural networks: A practical guide
Author(s): Antonios K. Alexandridis, Achilleas D. Zapranis
Pages: 1-27

5. A model of analogue winners-take-all neural circuit
Author(s): Pavlo V. Tymoshchuk
Pages: 44-61

6. Synthesis of high-complexity rhythmic signals for closed-loop electrical neuromodulation
Author(s): Osbert C. Zalay, Berj L. Bardakjian
Pages: 62-73

IEEE Transactions on Fuzzy Systems: Volume 21 Issue 2 April 2013

1. Stationary Fuzzy Fokker–Planck Learning for Derivative-Free Optimization
Author(s): Kumar, M. ; Stoll, N. ; Thurow, K. ; Stoll, R.
Page(s): 193 - 208
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6216407

2. Weighted Fuzzy Spiking Neural P Systems
Author(s): Wang, J. ; Shi, P. ; Peng, H. ; Perez-Jimenez, M.J. ; Wang, T.
Page(s): 209 - 220
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6242397

3. Fault Estimation and Tolerant Control for Fuzzy Stochastic Systems
Author(s): Liu, M. ; Cao, X. ; Shi, P.
Page(s): 221 - 229
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243202

4. Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm
Author(s): Pagola, M. ; Lopez-Molina, C. ; Fernandez, J. ; Barrenechea, E. ; Bustince, H.
Page(s): 230 - 244
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247495

5. Static-Output-Feedback {maths\cr H}_{bm \infty } Control of Continuous-Time T–S Fuzzy Affine Systems Via Piecewise Lyapunov Functions
Author(s): Qiu, J. ; Feng, G. ; Gao, H.
Page(s): 245 - 261
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6252027

6. Output Regulation of Polynomial-Fuzzy-Model-Based Control Systems
Author(s): Lam, H.K. ; Lo, J.C.
Page(s): 262 - 274
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6257463

7. Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems With Unmodeled Dynamics
Author(s): Liu, Y.-J. ; Tong, S.C. ; Chen, C.L.P.
Page(s): 275 - 288
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6262470

8. Fuzzy Logic System-Based Adaptive Fault-Tolerant Control for Near-Space Vehicle Attitude Dynamics With Actuator Faults
Author(s): Shen, Q. ; Jiang, B. ; Cocquempot, V.
Page(s): 289 - 300
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6268340

10. Adaptive Output Feedback Control for Nonlinear Time-Delay Systems by Fuzzy Approximation Approach
Author(s): Zhou, Q. ; Shi, P. ; Xu, S. ; Li, H.
Page(s): 301 - 313
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269079

11. A Combined Backstepping and Stochastic Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control
Author(s): Tong, S. ; Wang, T. ; Li, Y. ; Chen, B.
Page(s): 314 - 327
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269080

12. Universal Fuzzy Models and Universal Fuzzy Controllers for Stochastic Nonaffine Nonlinear Systems
Author(s): Gao, Q. ; Feng, G. ; Wang, Y. ; Qiu, J.
Page(s): 328 - 341
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6272339

13. Intuitionistic Fuzzy Cognitive Maps
Author(s): Papageorgiou, E.I. ; Iakovidis, D.K.
Page(s): 342 - 354
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6275486

14. Parallel Distributed Hybrid Fuzzy GBML Models With Rule Set Migration and Training Data Rotation
Author(s): Ishibuchi, H. ; Mihara, S. ; Nojima, Y.
Page(s): 355 - 368
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287013

15. Differential Neuro-Fuzzy Controller for Uncertain Nonlinear Systems
Author(s): Chairez, I.
Page(s): 369 - 384
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6289361

16. Switching-Type H_{\infty } Filter Design for T–S Fuzzy Systems With Unknown or Partially Unknown Membership Functions
Author(s): Li, X-.J. ; Yang, G-.H.
Page(s): 385 - 392
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265386

IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 5, May 2013

1. Nonstationary Source Separation Using Sequential and Variational Bayesian Learning
Author(s): Chien, J.-T. ; Hsieh, H.-L.
Page(s): 681 - 694
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6449323

2. Complex-Valued Filtering Based on the Minimization of Complex-Error Entropy
Author(s): Huang, S. ; Li, C. ; Liu, Y.
Page(s): 695 - 708
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6450100

3. Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification
Author(s): Luo, Y. ; Tao, D. ; Xu, C. ; Xu, C. ; Liu, H. ; Wen, Y.
Page(s): 709 - 722
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040

4. Stopped Object Detection by Learning Foreground Model in Videos
Author(s): Maddalena, L. ; Petrosino, A.
Page(s): 723 - 735
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459038

5. Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning
Author(s): Matsubara, T. ; Torikai, H.
Page(s): 736 - 748
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459039

6. Soft Margin Multiple Kernel Learning
Author(s): Xu, X. ; Tsang, I.W. ; Xu, D.
Page(s): 749 - 761
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459603

7. Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines
Author(s): Xu, X. ; Hou, Z. ; Lian, C. ; He, H.
Page(s): 762 - 775
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461419

8. Policy Improvement by a Model-Free Dyna Architecture
Author(s): Hwang, K.-S. ; Lo, C.-Y.
Page(s): 776 - 788
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6463457

9. Firing Rate Propagation Through Neuronal–Astrocytic Network
Author(s): Liu, Y. ; Li, C.
Page(s): 789 - 799
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6464601

10. On Stabilization of Stochastic Cohen-Grossberg Neural Networks With Mode-Dependent Mixed Time-Delays and Markovian Switching
Author(s): Zheng, C.-D. ; Shan, Q.-H. ; Zhang, H. ; Wang, Z.
Page(s): 800 - 811
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6477186

11. A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints
Author(s): Liu, Q. ; Wang, J.
Page(s): 812 - 824
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6472077

12. Constraint Verification With Kernel Machines
Author(s): Gori, M. ; Melacci, S.
Page(s): 825 - 831
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461129

13. Energy-Efficient SVM Learning Control System for Biped Walking Robots
Author(s): Wang, L. ; Liu, Z. ; Chen, C.L.P. ; Zhang, Y. ; Lee, S. ; Chen, X.
Page(s): 831 - 837
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461130

14. Self-Tuning Control With a Filter and a Neural Compensator for a Class of Nonlinear Systems
Author(s): Fu, Y. ; Chai, T.
Page(s): 837 - 843
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6469238

IEEE Transactions on Evolutionary Computation: Volume 17 Issue 2 2013

1. Guest Editorial: Special Issue on Understanding Complex Evolutionary Systems
Author(s): Ashlock, D. ; Kendall, G. ; Chong, S.
Page(s): 153 - 154
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6488784

2. Complex Coevolutionary Dynamics—Structural Stability and Finite Population Effects
Author(s): Tino, P. ; Chong, S.Y. ; Yao, X.
Page(s): 155 - 164
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6449315

3. Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization
Author(s): Walker, D.J. ; Everson, R.M. ; Fieldsend, J.E.
Page(s): 165 - 184
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6342906

4. Evolved Features for DNA Sequence Classification and Their Fitness Landscapes
Author(s): Ashlock, W. ; Datta, S.
Page(s): 185 - 197
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6232454

5. Fitness Landscapes of Evolved Apoptotic Cellular Automata
Author(s): Ashlock, D. ; McNicholas, S.
Page(s): 198 - 212
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6463449

6. Coevolving Game-Playing Agents: Measuring Performance and Intransitivities
Author(s): Samothrakis, S. ; Lucas, S. ; Runarsson, T.P. ; Robles, D.
Page(s): 213 - 226
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6242396

7. Agent-Case Embeddings for the Analysis of Evolved Systems
Author(s): Ashlock, D. ; Lee, C.
Page(s): 227 - 240
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384730

8. Particle Swarm Optimization With an Aging Leader and Challengers
Author(s): Chen, W.-N. ; Zhang, J. ; Lin, Y. ; Chen, N. ; Zhan, Z.-H. ; Chung, H.S.-H. ; Li, Y. ; Shi, Y.-H.
Page(s): 241 - 258
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151121

9. Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization
Author(s): Helwig, S. ; Branke, J. ; Mostaghim, S.M.
Page(s): 259 - 271
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6163405

10. FPGA Implementation of an Evolutionary Algorithm for Autonomous Unmanned Aerial Vehicle On-Board Path Planning
Author(s): Kok, J. ; Gonzalez, L.F. ; Kelson, N.
Page(s): 272 - 281
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6175116

Neural Networks: New articles 20-26 March 2013

1. Intelligence and embodiment: A statistical mechanics approach
Pages: 52-72
Author(s): Alejandro Chinea, Elka Korutcheva

2. Modulation of spike and burst rate in a minimal neuronal circuit with feed-forward inhibition
Pages: 1-17
Author(s): Fleur Zeldenrust, Wytse J. Wadman

3. Modeling the electrical field created by mass neural activity
Pages: 44-51
Author(s): Eran Privman, Rafael Malach, Yehezkel Yeshurun

4. Synchronization of two Hindmarsh–Rose neurons with unidirectional coupling
Pages: 73-79
Author(s): Dalibor Hrg

5. Training multi-layered neural network neocognitron
Pages: 18-31
Author(s): Kunihiko Fukushima

6. Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors
Pages: 32-43
Author(s): Yuka Ariki, Sang-Ho Hyon, Jun Morimoto

Reminder: paper submission deadline for ICARIS 2013

A reminder that the deadline for submitting papers to the 12th International Conference on Artificial Immune Systems (ICARIS) 2013 is 22 April 2013. This conference will be held in Nottingham, UK, 27-29 August 2013.

IEEE Transactions on Autonomous Mental Development: Volume 5, Issue 1, 2013

1. The Coordinating Role of Language in Real-Time Multimodal Learning of Cooperative Tasks
Author(s): Petit, M. ; Lallee, S. ; Boucher, J.-D. ; Pointeau, G. ; Cheminade, P. ; Ognibene, D. ; Chinellato, E. ; Pattacini, U. ; Gori, I. ; Martinez-Hernandez, U. ; Barron-Gonzalez, H. ; Inderbitzin, M. ; Luvizotto, A. ; Vouloutsi, V. ; Demiris, Y. ; Metta, G. ; Dominey, P.F.
Page(s): 3 - 17
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6249732

2. A Survey of the Ontogeny of Tool Use: From Sensorimotor Experience to Planning
Author(s): Guerin, F. ; Kruger, N. ; Kraft, D.
Page(s): 18 - 45
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248675

3. Learning Information Acquisition for Multitasking Scenarios in Dynamic Environments
Author(s): Karaoguz, C. ; Rodemann, T. ; Wrede, B. ; Goerick, C.
Page(s): 46 - 61
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6341054

4. A Spike-Based Model of Neuronal Intrinsic Plasticity
Author(s): Li, C. ; Li, Y.
Page(s): 62 - 73
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6257429

5. Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction
Author(s): Mann, T.A. ; Park, Y. ; Jeong, S. ; Lee, M. ; Choe, Y.
Page(s): 74 - 84
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6293858

6. Erratum to "Human-Recognizable Robotic Gestures" [Dec 12 305-314]
Author(s): Cabibihan, J.-J. ; So, W.-C. ; Pramanik, S.
Page(s): 85
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6479278

IEEE Transactions on Computational Intelligence and AI in Games: Volume 5, Issue 1, 2013

1. A Neurally Controlled Computer Game Avatar With Humanlike Behavior
Author(s): Gamez, D. ; Fountas, Z. ; Fidjeland, A.K.
Page(s): 1 - 14
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6357232

2.  Designing Automated Allocation Mechanisms for Service Procurement of Imperfectly Substitutable Services
Author(s): Kruse, S. ; Brintrup, A. ; McFarlane, D. ; Sanchez Lopez, T. ; Owens, K. ; Krechel, W.E.
Page(s): 15 - 32
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320688

3. Optimization of an Evaluation Function of the Four-Sided Dominos Game Using a Genetic Algorithm
Author(s): Antonio, N.S. ; Costa Filho, C.F.F. ; Costa, M.G.F.
Page(s): 33 - 43
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327342

4.  Job-Level Proof Number Search
Author(s): Wu, I.-C. ; Lin, H.-H. ; Sun, D.-J. ; Kao, K.-Y. ; Lin, P.-H. ; Chan, Y.-C. ; Chen, P.-T.
Page(s): 44 - 56
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6329938

5. Monte Carlo Tree Search for Collaboration Control of Ghosts in Ms. Pac-Man
Author(s): Nguyen, K.Q. ; Thawonmas, R.
Page(s): 57 - 68
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6307831

6. A Problem Case for UCT
Author(s): Browne, C.
Page(s): 69 - 74
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6310042

Reminder: paper submission deadline for SOCO 2013

A reminder that the deadline for submitting papers to the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO) 2013 is 20 April 2013. This conference will be held in Salamanca, Spain, 11-13 September, 2013.

IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 4, April 2013

1. Stability Analysis for Neural Networks With Time-Varying Delay Based on Quadratic Convex Combination
Authors: Huaguang Zhang; Feisheng Yang; Xiaodong Liu; Qingling Zhang
Page(s): 513 - 521
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410434

2. Factor Analysis of Auto-Associative Neural Networks With Application in Speaker Verification
Authors: Sri Garimella; Hynek Hermansky
Page(s): 522 - 528
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414643

3. Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network
Authors: Ramasamy Savitha; Sundaram Suresh; Narasimhan Sundararajan
Page(s): 529 - 541
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414644

4. Granular Neural Networks: Concepts and Development Schemes
Authors: Mingli Song; Witold Pedrycz
Page(s): 542 - 553
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415282

5. Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits
Authors: Shantanu Chakrabartty; Ravi K. Shaga; Kenji Aono
Page(s): 554 - 565
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6416072

6. Cluster Consensus in Discrete-Time Networks of Multiagents With Inter-Cluster Nonidentical Inputs
Authors: Yujuan Han; Wenlian Lu; Tianping Chen
Page(s): 566 - 578
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418037

7. Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
Authors: Yunong Zhang; Dongsheng Guo; Zhan Li
Page(s): 579 - 592
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6421040

8. Online Support Vector Machine Based on Convex Hull Vertices Selection
Authors: Di Wang; Hong Qiao; Bo Zhang; Min  Wang
Page(s): 593 - 609
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6420961

9. Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer Interface
Authors: Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek
Page(s): 610 - 619
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6423303

10. Just-In-Time Classifiers for Recurrent Concepts
Authors: Cesare Alippi; Giacomo Boracchi; Manuel Roveri
Page(s): 620 - 634
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6425489

11. Least Square Regularized Regression in Sum Space
Authors: Yong-Li Xu; Di-Rong Chen; Han-Xiong Li; Lu Liu
Page(s): 635 - 646
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6425490

12. Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification
Authors: Minlong Lin; Ke Tang; Xin  Yao
Page(s): 647 - 660
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6449324

13. New Parameter-Free Simplified Swarm Optimization for Artificial Neural Network Training and its Application in the Prediction of Time Series
Authors: Wei-Chang Yeh
Page(s): 661 - 665
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410433

14. Distributed Consensus Tracking for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph
Authors: Sung Jin Yoo
Page(s): 666 - 672
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415283

15. Ensemble Pruning Using Spectral Coefficients
Authors: Terry Windeatt; Cemre Zor
Page(s): 673 - 678
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6423293

Applications of ECoS: First article available online

The first article accepted for my special issue of Evolving Systems on Applications of Kasabov's Evolving Connectionist Systems is now available online. This article is a comprehensive review of the mechanisms and applications of evolving spiking neural networks. I can thoroughly recommend this article to anyone interested in spiking networks. Congratulations to the authors Stefan Schliebs and Nik Kasabov and my thanks to the reviewers for their time and efforts.

On Being a Postdoc 2: Postdoc survival

One of my favourite quotes from the television series Babylon 5 is: "You do not make history, you can only hope to survive it". As it is with history, so it is with being a postdoc. You do not make history as a postdoc, you can only hope to survive being one. I have done three postdocs, one in New Zealand and two in Australia. Now I'm in a permanent academic position, a head of department no less. But I have seen people destroyed by the postdoc system, who have not just lost their jobs but been pushed out of academia completely. Make no mistake, the postdoc process can be brutal, but there are some techniques that I found useful for surviving.

Be nice. While some people seem to think that the ends justify the means, if you mistreat people, eventually you will get a reputation such that no-one wants to work with you. There is no point in being able to attract research funding if you can't find staff to employ with it, and there is no point being a professor in your early thirties if your research group collapses by the time you're forty, thanks to mismanagement of staff. Be nice to people, and they will be nice to you. As my best friend is fond of saying, good things happen to good people. This isn't due to some mystical Karmic process: rather, people will go out of their way to help someone who is nice to them. Loyalty is something that can only be earned, it doesn't magically spring forth from the payment of salary. On the other hand, some people see niceness as weakness and will try to exploit you. Beware of the users!

Be diplomatic. Your supervisor may be egregiously wrong about something, but you don't have to point it out. Far better to subtly lead them to this conclusion, to let them think that they have worked it out by themselves. While it is nice to think that science runs on the free and frank exchange of ideas and opinions, it is in reality a very delicate egosystem. Beware of the toes you step on-they may be connected to a fragile ego and a peevish personality.

Get everything in writing. It never hurts to have written evidence in case everything goes wrong. People break their word, sometimes you need a little bit of evidence to remind them of what they promised.

Write everything down. A career is not built on a single action or accomplishment. Instead, it is built on a long list of actions and accomplishments. If you don't write down everything you do, then you might forget something vital when you go for your next job. In other words, having a comprehensive and up-to-date CV is vital for keeping track of the evidence that shows that you have built a worthwhile career.

Be diverse. Work in different fields and expand your horizons. Each field of research has its own way of doing things, if you work in a different field you will gain fresh perspectives on your own field of study. I spent eight years working in ecology, and what I learned has made me much better at designing experiments in computational intelligence. Beware of staying in a different field for too long: your own field may move on so much that you can't catch up again.

Get involved with professional organisations. For computational intelligence, the best organisation to get involved with is the Institute of Electrical and Electronic Engineers (IEEE), especially the IEEE computational Intelligence Society (CIS). Volunteering for service on committees of professional organisations is a great way to develop your reputation as a competent, hard working professional. It is also a great way of building your network of professional contacts.

Be useful. Work with other people and broaden your network of research collaborators. Help other people out where you can. Not only is this a great way of increasing your publication output, it's also a good way of diversifying your research experience. Collaborating with other researchers can also lead to other research and employment opportunities.

Know when to get out. Sometimes a field is no longer worth pursuing. Sometimes, you have simply gone as high as you can in that field. This is partly why I left ecological modelling, as I'd risen as high as I could without an ecology degree (something I had no interest in acquiring). Sometimes groups get mismanaged to the point that they can't survive, and start losing staff at such a rate that you have no choice but to flee. There is no point being the last person on the Titanic. In other words, don't go down with the ship

Get enough sleep. I have found that every hour of sleep I miss at night costs me two hours of productivity the following day. It is important to sleep during the night: after the sun comes up, the quality of your sleep is cut in half. Missing sleep also depresses your immune system which makes it more likely that you'll get sick. You might miss out on a bit of work time by going to bed early, but how much work time will you miss if you're sick every three weeks?

Work hard. But not too hard. Success comes to those who work the hardest, and in many ways hard work is more important than native ability. But don't work so hard that you miss out on too much sleep. You especially shouldn't work so hard that your family suffers. At the end of they day, your job is just a job, it's not worth sacrificing your quality of life over. You can always catch up on work later, but missed time with your kids is lost forever.

Plan your next move. Within six months of starting a post-doc position you should be planning the move to your next position. This means that you need to have some idea of where you want to go in your career.

You also need to be flexible, you probably won't end up with your dream job, but you probably will end up with a job that is just as good.

Being a postdoc is hard, and really it is best for young, single people. I was thirty-one when I started my first postdoc, and had a brand-new daughter, which made it much harder for me. But I survived, and I'm a better person for it. I hope these strategies are useful for other people.

Conference paper deadline: ICACI 2013

The deadline for submitting papers to the International Conference on Advanced Computational Intelligence (ICACI) 2013 is June 1 2013. This conference will be held in Hangzhou, China, 19-21 October, 2013.

Conference paper deadline: TAAI 2013

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.

Paper submission deadline: CIS 2013

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.

Reminder: paper submission deadline for ICONIP 2013

A reminder that the paper submission deadline for the 20th International Conference on Neural Information Processing (ICONIP) 2013 is 1 June 2013. This conference will be held in Daegu, Korea, 3-7 November, 2013.

Paper submission deadline: UKCI 2013

The paper submission deadline for the UK Workshop on Computational Intelligence (UKCI) 2013 is 17 May 2013. This workshop will be held in Guildford, UK, 9-11 September, 2013.

Paper submission deadline: AAIA 2013

The deadline for submitting papers to the 8th International Symposium Advances in Artificial Intelligence and Applications is 12 May 2013. This conference will be held in Krakow, Poland, 8-11 September 2013.

Neural Networks: New articles 15-21 February 2013

1. Local minima in hierarchical structures of complex-valued neural networks 
Author(s): Tohru Nitta
   
2. Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control  
Author(s): Ivan Herreros, Paul F.M.J. Verschure
   
3. A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
Author(s): Yan Xu, Xiaoqin Zeng, Lixin Han, Jing Yang

4. Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering
Author(s): Takamitsu Araki, Kazushi Ikeda

5. Efficient self-organizing multilayer neural network for nonlinear system modeling
Author(s): Hong-Gui Han, Li-Dan Wang, Jun-Fei Qiao

6. First experiments with PowerPlay
Author(s): Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber

Paper submission deadline: ICARIS 2013

The deadline for submitting papers to the 12th International Conference on Artificial Immune Systems (ICARIS) 2013 is 22 April 2013. This conference will be held in Nottingham, UK, 27-29 August 2013.

IEEE Transactions on Fuzzy Systems: Volume 21 Issue 1

A Vectorization-Optimization-Method-Based Type-2 Fuzzy Neural Network for Noisy Data Classification
Authors: Wu, G.-D.; Huang, P.-H.
Page(s): 1 - 15
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6195003

Petri Net Representation of Switched Fuzzy Systems
Authors: Ding, Z.; Ma, J.; Kandel, A.
Page(s): 16 - 29
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6195002

A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models
Authors: Zhao, W.; Li, K.; Irwin, G. W.
Page(s): 30 - 44
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6203571

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions
Authors: Fazzolari, M.; Alcala, R.; Nojima, Y.; Ishibuchi, H.; Herrera, F.
Page(s): 45 - 65
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204330

A Review of Fuzzy Cognitive Maps Research During the Last Decade
Authors: Papageorgiou, E. I.; Salmeron, J. L.
Page(s): 66 - 79
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6208855

Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons
Authors: Wu, D.
Page(s): 80 - 99
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6208856

Evolutionary Robot Wall-Following Control Using Type-2 Fuzzy Controller With Species-DE-Activated Continuous ACO
Authors: Hsu, C.-H.; Juang, C.-F.
Page(s): 100 - 112
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212344

Preference Relations Based on Intuitionistic Multiplicative Information
Authors: Xia, M.; Xu, Z.; Liao, H.
Page(s): 113 - 133
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212345

Adaptive Fuzzy Output Feedback Control of MIMO Nonlinear Systems With Unknown Dead-Zone Inputs
Authors: Tong, S.; Li, Y.
Page(s): 134 - 146
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215037

Control Synthesis of Discrete-Time T–S Fuzzy Systems Based on a Novel Non-PDC Control Scheme
Authors: Xie, X.; Ma, H.; Zhao, Y.; Ding, D-.W.; Wang, Y.
Page(s): 147 - 157
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248200

Robust Observer Design for Unknown Inputs Takagi–Sugeno Models
Authors: Chadli, M.; Karimi, H. R.
Page(s): 158 - 164
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6193425

To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems
Authors: Peng, C.; Han, Q.-L.; Yue, D.
Page(s): 164 - 170
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202334

Fuzzy Nash Equilibriums in Crisp and Fuzzy Games
Authors: Chakeri, A.; Sheikholeslam, F.
Page(s): 171 - 176
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6213106

A Three-Domain Fuzzy Wavelet System for Simultaneous Processing of Time-Frequency Information and Fuzziness
Authors: Liu, Z.; Chen, C. L. P.; Zhang, Y.; Li, H.-X.; Wang, Y.
Page(s): 176 - 183
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215036

A Fuzzy Measure Similarity Between Sets of Linguistic Summaries
Authors: Wilbik, A.; Keller, J. M.
Page(s): 183 - 189
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6275487

Reminder: conference paper deadline for EANN 2013

A reminder that the deadline for submitting papers to the 14th conference on Engineering Applications of Neural Networks (EANN) 2013 is 22 April 2013. This conference will be held in Halkidiki, Greece, 13-16 September, 2013.