2019 Call for CIS Award Nominations

The IEEE Computational Intelligence Society annually recognizes significant contributions and meritorious service in the field of computational intelligence. Recognizing volunteers and eminent colleagues is a key element to keep our Society alive and to promote research excellence in computational intelligence.

Please consider nominating well deserving colleagues for one of the following awards:

• Neural Networks Pioneer Award
• Fuzzy Systems Pioneer Award
• Evolutionary Computation Pioneer Award
• Meritorious Service Award
• IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award
• Outstanding Chapter Award
• Outstanding Ph.D. Dissertation Award
• Outstanding Organization Award
• Outstanding Early Career Award

The completed nomination must be submitted by email to the Awards Soliciting Nominations Subcommittee Chair Prof. Sanaz Mostaghim at Sanaz.mostaghim@ovgu.de and a copy to cis-info@ieee.org by 30 April 2019 in a single, standalone pdf file. The nomination can be considered submitted only after acknowledgement of the Awards Soliciting Nominations Subcommittee Chair.

The nominations deadline is strict.

For the following publications, all papers published in 2017 will be evaluated and considered for the award:

• IEEE Transactions on Fuzzy Systems Outstanding Paper Award
• IEEE Transactions on Evolutionary Computation Outstanding Paper Award
• IEEE Transactions on Cognitive and Development Systems Outstanding Paper Award
• IEEE Transactions on Computational Intelligence and AI in Games Outstanding Paper Award (title changed in 2018 to IEEE Transactions on Games for future awards)
• IEEE Computational Intelligence Magazine.

For more information, details and procedural aspects, please visit the awards website or contact the CIS Awards Committee Chair, Prof. Cesare Alippi at alippi@elet.polimi.it.

CFP: The Third International Conference on Intelligent Computing in Data Sciences (ICDS 2019)

The Third International Conference on Intelligent Computing in Data Sciences (ICDS 2019)
October 28-30, 2019 Marrakech, Morocco

IEEE Conference Record Number : #47004

ICDS2019 is technically Co-Sponsored by IEEE Computational Intelligence Society and the International Neural Network Society (INNS).

Conference Proceedings Citation Index: IEEE Xplore Digital Library (ISBN : 978-1-7281-0003-6) and Scopus.

Conference Website: http://www.researchnetwork.ma/icds2019/index.html

Conference Topics:
1. Intelligent Computing

• Computational Intelligence
• Neural Networks theory and models
• Fuzzy systems
• Evolutionary algorithms
• Cognitive science and Connectionist theory
• Deep learning
• Reinforcement Learning
• Ambient Intelligence
• Big data analytics, visualization, modeling
• Brain imaging and neural information processing
• Machine Learning
• Agent Based Systems and collective intelligence
• Expert Systems

2. Areas and Applications include but not limited to:

• Machine Learning Algorithms for high-velocity Streaming data
• Data Mining, Text mining & web mining
• Natural language processing
• Neurorobotics and Intelligent Robotics
• Image/Video Processing
• Health care
• Speech Processing
• Intelligent Transportation Systems
• Data pre-processing, sampling and reduction
• High performance computing for data analytics
• Smart grid
• Sensor Networks and Security
• Bioinformatics
• Intrusion detection and fault diagnosis

Important dates:

• Paper Submission deadline : April 30, 2019
• Notification of acceptance : June 20, 2019
• Camera-ready : June 30, 2019
• Conference date : October 28-29-30, 2019

Call for IEEE TNNLS Outstanding Paper Award Nomination

We are accepting nominations for the IEEE TNNLS Outstanding Paper Award, a prestigious award in recognizing outstanding papers published in TNNLS. Here are the important information:

1. For the current round of competition, any paper published in 2017 (Volume 28) of TNNLS is eligible for consideration.

2. The nomination deadline is April 30, 2019 (strict deadline).

3. The complete nomination packet must include the following information: Nominator, Full Citation of the Nominated Paper (including author names, paper title, publication volume, issue, and page numbers), Basis for Nomination, Proposed Citation, 3 Reference Letters, and a Copy of the Nominated Paper.

4. The complete nomination package should be submitted in a single PDF file by email to the Awards Soliciting Nominations Subcommittee Chair, Prof. Sanaz Mostaghim at sanaz.mostaghim@ovgu.de and a copy to cis-info@ieee.org and haibohe@uri.edu

The nomination cannot be considered complete until the submitted package is acknowledged by the Chair of the Awards Soliciting Nominations Subcommittee.

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 3, March 2019

1. NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Author(s): Alessandro Aimar; Hesham Mostafa; Enrico Calabrese; Antonio Rios-Navarro; Ricardo Tapiador-Morales; Iulia-Alexandra Lungu; Moritz B. Milde; Federico Corradi; Alejandro Linares-Barranco; Shih-Chii Liu; Tobi Delbruck
Pages: 644 - 656

2. Robust Dimension Reduction for Clustering With Local Adaptive Learning
Author(s): Xiao-Dong Wang; Rung-Ching Chen; Zhi-Qiang Zeng; Chao-Qun Hong; Fei Yan
Pages: 657 - 669

3. Learning of a Decision-Maker’s Preference Zone With an Evolutionary Approach
Author(s): Manish Aggarwal
Pages: 670 - 682

4. Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses
Author(s): Weiwei Shi; Yihong Gong; Xiaoyu Tao; De Cheng; Nanning Zheng
Pages: 683 - 694

5. Distributed Generalized Nash Equilibrium Seeking Algorithm Design for Aggregative Games Over Weight-Balanced Digraphs
Author(s): Zhenhua Deng; Xiaohong Nian
Pages: 695 - 706

6. DBSDA: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing
Author(s): Haoyi Xiong; Wei Cheng; Jiang Bian; Wenqing Hu; Zeyi Sun; Zhishan Guo
Pages: 707 - 717

7. Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Author(s): Shengliang Peng; Hanyu Jiang; Huaxia Wang; Hathal Alwageed; Yu Zhou; Marjan Mazrouei Sebdani; Yu-Dong Yao
Pages: 718 - 727

8. ICFS Clustering With Multiple Representatives for Large Data
Author(s): Liang Zhao; Zhikui Chen; Yi Yang; Liang Zou; Z. Jane Wang
Pages: 728 - 738

9. Exponential Stabilization of Fuzzy Memristive Neural Networks With Hybrid Unbounded Time-Varying Delays
Author(s): Yin Sheng; Frank L. Lewis; Zhigang Zeng
Pages: 739 - 750

10. A Fused CP Factorization Method for Incomplete Tensors
Author(s): Yuankai Wu; Huachun Tan; Yong Li; Jian Zhang; Xiaoxuan Chen
Pages: 751 - 764

11. Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure
Author(s): Fanghui Liu; Xiaolin Huang; Chen Gong; Jie Yang; Johan A. K. Suykens
Pages: 765 - 776

12. Robot Learning System Based on Adaptive Neural Control and Dynamic Movement Primitives
Author(s): Chenguang Yang; Chuize Chen; Wei He; Rongxin Cui; Zhijun Li
Pages: 777 - 787

13. Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss
Author(s): Hanyang Peng; Cheng-Lin Liu
Pages: 788 - 802

14. A Fast and Accurate Matrix Completion Method Based on QR Decomposition and L2,1 Norm Minimization
Author(s): Qing Liu; Franck Davoine; Jian Yang; Ying Cui; Zhong Jin; Fei Han
Pages: 803 - 817

15. Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images
Author(s): Fang Liu; Licheng Jiao; Xu Tang; Shuyuan Yang; Wenping Ma; Biao Hou
Pages: 818 - 833

16. Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria
Author(s): Keze Wang; Liang Lin; Xiaopeng Yan; Ziliang Chen; Dongyu Zhang; Lei Zhang
Pages: 834 - 850

17. Multiview Subspace Clustering via Tensorial t-Product Representation
Author(s): Ming Yin; Junbin Gao; Shengli Xie; Yi Guo
Pages: 851 - 864

18. Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network
Author(s): Junxiu Liu; Liam J. Mcdaid; Jim Harkin; Shvan Karim; Anju P. Johnson; Alan G. Millard; James Hilder; David M. Halliday; Andy M. Tyrrell; Jon Timmis
Pages: 865 - 875

19. Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training
Author(s): Yiu-ming Cheung; Yiqun Zhang
Pages: 876 - 890

20. General Square-Pattern Discretization Formulas via Second-Order Derivative Elimination for Zeroing Neural Network Illustrated by Future Optimization
Author(s): Jian Li; Yunong Zhang; Mingzhi Mao
Pages: 891 - 901

21. Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations
Author(s): Angelo Alessandri; Patrizia Bagnerini; Mauro Gaggero
Pages: 902 - 912

22. Robust Stabilization of Delayed Neural Networks: Dissipativity-Learning Approach
Author(s): Ramasamy Saravanakumar; Hyung Soo Kang; Choon Ki Ahn; Xiaojie Su; Hamid Reza Karimi
Pages: 913 - 922

23. Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures
Author(s): Mohammadreza Mohaghegh Neyshabouri; Kaan Gokcesu; Hakan Gokcesu; Huseyin Ozkan; Suleyman Serdar Kozat
Pages: 923 - 937

24. Adaptive Optimal Output Regulation of Time-Delay Systems via Measurement Feedback
Author(s): Weinan Gao; Zhong-Ping Jiang
Pages: 938 - 945

25. Unsupervised Knowledge Transfer Using Similarity Embeddings
Author(s): Nikolaos Passalis; Anastasios Tefas
Pages: 946 - 950

26. Synchronization of Coupled Markovian Reaction–Diffusion Neural Networks With Proportional Delays Via Quantized Control
Author(s): Xinsong Yang; Qiang Song; Jinde Cao; Jianquan Lu
Pages: 951 - 958

27. Stepsize Range and Optimal Value for Taylor–Zhang Discretization Formula Applied to Zeroing Neurodynamics Illustrated via Future Equality-Constrained Quadratic Programming
Author(s): Yunong Zhang; Huihui Gong; Min Yang; Jian Li; Xuyun Yang
Pages: 959 - 966