Thursday 28 May 2015

Monday 25 May 2015

IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Number 6, June 2015

1. On Recursive Edit Distance Kernels With Application to Time Series Classification
Author(s): Marteau, P. ; Gibet, S.
Page(s): 1121 - 1133

2. Generalized Multiple Kernel Learning With Data-Dependent Priors
Author(s): Mao, Q. ; Tsang, I.W. ; Gao, S. ; Wang, L.
Page(s): 1134 - 1148

3. A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems
Author(s): Qin, S. ; Xue, X.
Page(s): 1149 - 1160

4. Generalized Single-Hidden Layer Feedforward Networks for Regression Problems
Author(s): Wang, N. ; Er, M.J. ; Han, M.
Page(s): 1161 - 1176

5. Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression
Author(s): Chen, C. ; Yan, X.
Page(s): 1177 - 1187

6. Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions
Author(s): Li, T. ; Li, Z. ; Wang, D. ; Chen, C.L.P.
Page(s): 1188 - 1201

7. Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications
Author(s): Duan, S. ; Hu, X. ; Dong, Z. ; Wang, L. ; Mazumder, P.
Page(s): 1202 - 1213

8. Synchronization of Chaotic Lur’e Systems With Time Delays Using Sampled-Data Control
Author(s): Hua, C. ; Ge, C. ; Guan, X.
Page(s): 1214 - 1221

9. Kernel Reconstruction ICA for Sparse Representation
Author(s): Xiao, Y. ; Zhu, Z. ; Zhao, Y. ; Wei, Y. ; Wei, S.
Page(s): 1222 - 1232

10. Partially Shared Latent Factor Learning With Multiview Data
Author(s): Liu, J. ; Jiang, Y. ; Li, Z. ; Zhou, Z. ; Lu, H.
Page(s): 1233 - 1246

11. Learning From Adaptive Neural Dynamic Surface Control of Strict-Feedback Systems
Author(s): Wang, M. ; Wang, C.
Page(s): 1247 - 1259

12. Complex Support Vector Machines for Regression and Quaternary Classification
Author(s): Bouboulis, P. ; Theodoridis, S. ; Mavroforakis, C. ; Evaggelatou-Dalla, L.
Page(s): 1260 - 1274

13. Blind Image Quality Assessment via Deep Learning
Author(s): Hou, W. ; Gao, X. ; Tao, D. ; Li, X.
Page(s): 1275 - 1286

14. Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data
Author(s): Hou, C. ; Nie, F. ; Yi, D. ; Tao, D.
Page(s): 1287 - 1299

15. Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling
Author(s): Guo, Z. ; Yang, S. ; Wang, J.
Page(s): 1300 - 1311

16. A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems
Author(s): Han, H. ; Zhou, W. ; Qiao, J. ; Feng, G.
Page(s): 1312 - 1322

17. Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
Author(s): Liu, D. ; Li, H. ; Wang, D.
Page(s): 1323 - 1334

18. Further Result on Guaranteed H_\infty Performance State Estimation of Delayed Static Neural Networks
Author(s): Huang, H. ; Huang, T. ; Chen, X.
Page(s): 1335 - 1341

19. Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks
Author(s): Yuan, D. ; Ho, D.W.C.
Page(s): 1342 - 1347

Deadline change TAAI 2015

The deadline for submitting papers to the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015) is now July 30, 2015. This conference will be held in Tainan, Taiwan, November 20-22, 2015.

Friday 15 May 2015

Thursday 14 May 2015

Reminder: paper submission deadline: IEEE SSCI 2015

A reminder that the deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2015 is June 14, 2015. This conference will be held in Cape Town, South Africa, December 7-10, 2015.

Tuesday 12 May 2015

Monday 11 May 2015

Reminder: conference paper deadline for DSAA'15

A reminder that the paper submission deadline for the IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2015 is 18 May, 2015. This conference will be held in Paris, France, 19-21 October, 2015.

Thursday 7 May 2015

WCCI 2016 Special Session Proposals

Special session proposals are invited to the 2016 IEEE WCCI. Proposals should include the title, aim and scope, list of main topics, and the names and short biography of the organizers. All proposals should be submitted to the Special Sessions Chairs (

IEEE Transactions on Computational Intelligence and AI in Games, Volume 7, Number 1, March 2015

1. Editorial: IEEE Transactions on Computational Intelligence and AI in Games
Author(s): Kendall, G.
Page(s): 1 - 2

2. On Cost-Effective Incentive Mechanisms in Microtask Crowdsourcing
Author(s): Yang Gao, Yan Chen and Liu, K.J.R.
Page(s): 3 - 15

3. An Enhanced Solver for the Game of Amazons
Author(s): Jiaxing Song and Muller, M.
Page(s): 16 - 27

4. Job-Level Alpha-Beta Search
Author(s): Jr-Chang Chen, I-Chen Wu, Wen-Jie Tseng, Bo-Han Lin and Chia-Hui Chang
Page(s): 28 - 38

5. Suspenser: A Story Generation System for Suspense
Author(s): Yun-Gyung Cheong and Young, R.M.
Page(s): 39 - 52

6. Multiple Opponent Optimization of Prisoner’s Dilemma Playing Agents
Author(s): Ashlock, D., Brown, J.A. and Hingston, P.
Page(s): 53 - 65

7. Design and Implementation of Chinese Dark Chess Programs
Author(s): Shi-Jim Yen, Cheng-Wei Chou, Jr-Chang Chen, I-Chen Wu and Kuo-Yuan Kao
Page(s): 66 - 74

8. Learning Behaviors of and Interactions Among Objects Through Spatio–Temporal Reasoning
Author(s): Ersen, M. and Sariel, S.
Page(s): 75 - 87

9. Learning-Based Procedural Content Generation
Author(s): Roberts, J. and Ke Chen
Page(s): 88 - 101

10. Sequential Halving Applied to Trees
Author(s): Cazenave, T.
Page(s): 102 - 105

IEEE Transactions on Fuzzy Systems, Volume 23, Issue 2, April 2015


1. A Novel Risk Decision Making Based on Decision-Theoretic Rough Sets Under Hesitant Fuzzy Information
Author(s):  D. Liang and D. Liu
Page(s):  237-247

2. From Interval-Valued Data to General Type-2 Fuzzy Sets
Author(s):  C.Wagner, S. Miller, J. M. Garibaldi, D. T. Anderson, and T. C. Havens
Page(s):  248-269

3. Weighted Compensative Logic With Adjustable Threshold Andness and Orness
Author(s):  J. Dujmovi´c
Page(s):  270-290

4. Analysis of the Fuzzy Controllability Property and Stabilization for a Class of T–S Fuzzy Models
Author(s):  J. A.Meda-Campa˜na, J. Rodr´ıguez-Valdez, T. Hern´andez-Cort´es, R. Tapia-Herrera, and V. Nosov
Page(s):  291-301

5. Adaptive Fuzzy Backstepping Control for A Class of Nonlinear Systems With Sampled and Delayed Measurements
Author(s):  T.Wang, Y. Zhang, J. Qiu, and H. Gao
Page(s):  302-312

6. Theta-Fuzzy Associative Memories (Theta-FAMs)
Author(s):  E. Esmi, P. Sussner, H. Bustince, and J. Fern´andez
Page(s):  313-326

7. Simplifying the Search for Effective Ranking of Fuzzy Numbers
Author(s):  A. I. Ban and L. Coroianu
Page(s):  327-339

8. Granular Risk-Based Design Optimization
Author(s):  H. Hu and G. Li
Page(s):  340-353

9. Consensus Building in a Local Context for the AHP-GDMWith the Individual Numerical Scale and Prioritization Method
Author(s):  Y. Dong, Z.-P. Fan, and S. Yu
Page(s):  354-368

10. pClass: An Effective Classifier for Streaming Examples
Author(s):  M. Pratama, S. G. Anavatti, M. J. Er, and E. D. Lughofer
Page(s):  369-386

11. Pareto Optimal Filter Design for Nonlinear Stochastic Fuzzy Systems via Multiobjective H2/H∞ Optimization
Author(s):  B.-S. Chen, H.-C. Lee, and C.-F. Wu
Page(s):  387-399

12. T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go
Author(s):  C.-S. Lee, M.-H. Wang, M.-J. Wu, O. Teytaud, and S.-J. Yen
Page(s):  400-420

13. Reliable State Feedback Control of T–S Fuzzy Systems With Sensor Faults
Author(s):  J. Dong and G.-H. Yang
Page(s):  421-433

14. On the State Minimization of Fuzzy Automata
Author(s):  L. Li and D. Qiu
Page(s):  434-443

15. Divergence Measures for Intuitionistic Fuzzy Sets
Author(s):  I.Montes, N. R. Pal, V. Janiˇs, and S. Montes
Page(s):  444-456

16. Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework
Author(s):  A. Rubio-Solis and G. Panoutsos
Page(s):  457-473


17. A Two-Variable Fuzzy Control Design With Application to an Air-Conditioning System
Author(s):  S. Yordanova, D. Merazchiev, and L. Jain
Page(s):  474-481

Wednesday 6 May 2015

Tuesday 5 May 2015

IEEE Transactions on Neural Networks and Learning Systems: Volume 26, Issue 5, May 2015

1. Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning
Author(s): Teck-Hou Teng; Ah-Hwee Tan; Jacek M. Zurada
Page(s): 889 - 902

2. Variable Neural Adaptive Robust Control: A Switched System Approach
Author(s): Jianming Lian; Jianghai Hu; Stanislaw H. Zak
Page(s): 903 - 915

3. Integral Reinforcement Learning for Continuous-Time Input-Affine Nonlinear Systems With Simultaneous Invariant Explorations
Author(s): Jae Young Lee; Jin Bae Park; Yoon Ho Choi
Page(s): 916 - 932

4. Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
Author(s): Shing Chiang Tan; Junzo Watada; Zuwairie Ibrahim; Marzuki Khalid
Page(s): 933 - 950

5. Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction
Author(s): Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas
Page(s): 951 - 963

6. The Minimum Risk Principle That Underlies the Criteria of Bounded Component Analysis
Author(s): Sergio Cruces; Ivan Duran-Diaz
Page(s): 964 - 981

7. A One-Class Kernel Fisher Criterion for Outlier Detection
Author(s): Franck Dufrenois
Page(s): 982 - 994

8. Semi-Supervised Nearest Mean Classification Through a Constrained Log-Likelihood
Author(s): Marco Loog; Are Charles Jensen
Page(s): 995 - 1006

9. Adaptive NN Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems
Author(s): Yan-Jun Liu; Li Tang; Shaocheng Tong; C. L. Philip Chen
Page(s): 1007 - 1018

10. Transfer Learning for Visual Categorization: A Survey
Author(s): Ling Shao; Fan Zhu; Xuelong Li
Page(s): 1019 - 1034

11. Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning
Author(s): Toshihiko Shimizu; Ryo Saegusa; Shuhei Ikemoto; Hiroshi Ishiguro; Giorgio Metta
Page(s): 1035 - 1047

12. A New Method for Data Stream Mining Based on the Misclassification Error
Author(s): Leszek Rutkowski; Maciej Jaworski; Lena Pietruczuk; Piotr Duda
Page(s): 1048 - 1059

13. Learning to Track Multiple Targets
Author(s): Xiao Liu; Dacheng Tao; Mingli Song; Luming Zhang; Jiajun Bu; Chun Chen
Page(s): 1060 - 1073

14. Adaptive Neural Control of Nonlinear MIMO Systems With Time-Varying Output Constraints
Author(s): Wenchao Meng; Qinmin Yang; Youxian Sun
Page(s): 1074 - 1085

15. Very Sparse LSSVM Reductions for Large-Scale Data
Author(s): Raghvendra Mall; Johan A. K. Suykens
Page(s): 1086 - 1097

16. Sparse Multivariate Gaussian Mixture Regression
Author(s): Luis Weruaga; Javier Via
Page(s): 1098 - 1108

17. Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography
Author(s): Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-Aki Sato
Page(s): 1109 - 1114

18. An Efficient Topological Distance-Based Tree Kernel
Author(s): Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti
Page(s): 1115 - 1120

Monday 4 May 2015

IEEE CIS Junior Webinar Series: Webinar by Pietro Consoli

Speaker: Pietro Consoli
School of Computer Science, University of Birmingham, UK

Title: Adaptive Crossover Operator Selection Based on Online Learning and Fitness Landscape Metrics
Date: May 14, 2015 5:00 PM BST

Register at:

Self-adaptive mechanisms for the identification of the most suitable variation operator in evolutionary meta-heuristics rely almost exclusively on the measurement of the fitness of the offspring, which may not be sufficient to assess the optimality of an operator (e.g., in a landscape with a high degree of neutrality). In this talk, I will present a novel Adaptive Operator Selection mechanism which uses a set of four Fitness Landscape Analysis techniques and an online learning algorithm, Dynamic Weighted Majority, to provide more detailed information about the search space in order to better determine the most suitable crossover operator to use on a set of Capacitated Arc Routing Problem (CARP) instances. Extensive comparison with a state of the art approach has proved that this technique is able to produce comparable results on the set of benchmark problems and that, in some cases, it can outperform the results achieved adopting the fitness based approach.

This webinar is part of the IEEE CIS Junior Webinar Series.

After registering, you will receive a confirmation email containing information about joining the webinar.