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.

IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 3, March 2013

1. Dissipativity Analysis for Discrete-Time Stochastic Neural Networks With Time-Varying Delays
Authors: Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 345 - 355
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400254

2. Model-Based Online Learning With Kernels
Authors: Guoqi Li; Changyun Wen; Zheng Guo Li; Aimin Zhang; Feng Yang; Kezhi Mao
Page(s): 356 - 369
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400253

3. Adaptive Control for Nonlinear Pure-Feedback Systems With High-Order Sliding Mode Observer
Authors: Jing Na; Xuemei Ren; Dongdong Zheng
Page(s): 370 - 382
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6401197

4. Low-Rank Structure Learning via Nonconvex Heuristic Recovery
Authors: Yue Deng; Qionghai Dai; Risheng Liu; Zengke Zhang; Sanqing Hu
Page(s): 383 - 396
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6403554

5. Synaptic Variability in a Cortical Neuromorphic Circuit
Authors: Mohammad Mahvash; Alice C. Parker
Page(s): 397 - 409
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408287

6. Sampled-Data Synchronization of Chaotic Lur'e Systems With Time Delays
Authors: Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 410 - 421
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408292

7. Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification
Authors: Olga Zoidi; Anastasios Tefas; Ioannis Pitas
Page(s): 422 - 434
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408294

8. Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control
Authors: Yang Tan; Wai Keung Wong
Page(s): 435 - 447
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408291

9. Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues
Authors: Sarunas Raudys
Page(s): 448 - 459
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408289

10. Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities
Authors: Zohar Halbe; Maria Bortman; Mayer Aladjem
Page(s): 460 - 470
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410430

11. Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming
Authors: Hao Xu; Sarangapani Jagannathan
Page(s): 471 - 484
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410432

12. Simple Exponential Family PCA
Authors: Jun Li; Dacheng Tao
Page(s): 485 - 497
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415281

13. Dynamics Analysis of a Population Decoding Model
Authors: Jiali Yu; Huajin Tang; Haizhou Li
Page(s): 498 - 503
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6409467

14. Learning With Kernel Smoothing Models and Low-Discrepancy Sampling
Authors: Cristiano Cervellera; Danilo Macciò
Page(s): 504 - 509
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410431

Conference paper deadline: EANN 2013

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.

Conference paper deadline: SOCO 2013

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.

Paper submission deadline extended for IJCNN 2013

The deadline for submitting papers to the International Joint Conference on Neural Networks (IJCNN) 2013 has been extended to 1 March 2013. This conference will be held in Dallas, Texas, 4-9 August 2013.