Friday, 9 August 2019

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 8, August 2019.

1. Dynamic Feature Acquisition Using Denoising Autoencoders
Author(s): Mohammad Kachuee; Sajad Darabi; Babak Moatamed; Majid Sarrafzadeh
Pages: 2252 - 2262

2. A Novel and Safe Two-Stage Screening Method for Support Vector Machine
Author(s): Xianli Pan; Yitian Xu
Pages: 2263 - 2274

3. Self-Tuned Discrimination-Aware Method for Unsupervised Feature Selection
Author(s): Xuelong Li; Mulin Chen; Qi Wang
Pages: 2275 - 2284

4. Fast-Time Stability of Temporal Boolean Networks
Author(s): Bowen Li; Jianquan Lu; Jie Zhong; Yang Liu
Pages: 2285 - 2294

5. A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification
Author(s): Yanan Sun; Bing Xue; Mengjie Zhang; Gary G. Yen
Pages: 2295 - 2309

6. Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning
Author(s): Changde Du; Changying Du; Lijie Huang; Huiguang He
Pages: 2310 - 2323

7. Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems
Author(s): Bosen Lian; Qingling Zhang; Jinna Li
Pages: 2324 - 2335

8. Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics
Author(s): Shinichi Tamura; Yoshi Nishitani; Chie Hosokawa; Yuko Mizuno-Matsumoto
Pages: 2336 - 2345

9. Zeroing Neural Network for Solving Time-Varying Linear Equation and Inequality Systems
Author(s): Feng Xu; Zexin Li; Zhuoyun Nie; Hui Shao; Dongsheng Guo
Pages: 2346 - 2357

10. Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks
Author(s): Peng Liu; Zhigang Zeng; Jun Wang
Pages: 2358 - 2368

11. Stochastic Graphlet Embedding
Author(s): Anjan Dutta; Hichem Sahbi
Pages: 2369 - 2382

12. Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
Author(s): Tatsuya Akutsu; Avraham A. Melkman
Pages: 2383 - 2396

13. Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data
Author(s): Junbiao Pang; Fei Tao; Qingming Huang; Qi Tian; Baocai Yin
Pages: 2397 - 2409

14. Modified Gram–Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models
Author(s): Guang-Yong Chen; Min Gan; Feng Ding; C. L. Philip Chen
Pages: 2410 - 2418

15. Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications
Author(s): Zhijun Zhang; Ling-Dong Kong; Lunan Zheng
Pages: 2419 - 2433

16. Passivity and Synchronization of Coupled Uncertain Reaction–Diffusion Neural Networks With Multiple Time Delays
Author(s): Jin-Liang Wang; Zhen Qin; Huai-Ning Wu; Tingwen Huang
Pages: 2434 - 2448

17. Finding Principal Paths in Data Space
Author(s): Marco Jacopo Ferrarotti; Walter Rocchia; Sergio Decherchi
Pages: 2449 - 2462

18. t-Exponential Memory Networks for Question-Answering Machines
Author(s): Kyriakos Tolias; Sotirios P. Chatzis
Pages: 2463 - 2477

19. Near-Nash Equilibrium Control Strategy for Discrete-Time Nonlinear Systems With Round-Robin Protocol
Author(s): Peng Zhang; Yuan Yuan; Hongjiu Yang; Huaping Liu
Pages: 2478 - 2492

20. Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits
Author(s): Mădălina M. Drugan
Pages: 2493 - 2502

21. A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization
Author(s): Hangjun Che; Jun Wang
Pages: 2503 - 2514

22. Plume Tracing via Model-Free Reinforcement Learning Method
Author(s): Hangkai Hu; Shiji Song; C. L. Phillip Chen
Pages: 2515 - 2527

23. Extended Dissipativity Analysis for Markovian Jump Neural Networks With Time-Varying Delay via Delay-Product-Type Functionals
Author(s): Wen-Juan Lin; Yong He; Chuan-Ke Zhang; Min Wu; Jianhua Shen
Pages: 2528 - 2537

24. Recurrent Neural Network Model: A New Strategy to Solve Fuzzy Matrix Games
Author(s): Amin Mansoori; Mohammad Eshaghnezhad; Sohrab Effati
Pages: 2538 - 2547

25. Function Perturbation Impact on Feedback Stabilization of Boolean Control Networks
Author(s): Xiaodong Li; Haitao Li; Guodong Zhao
Pages: 2548 - 2554

26. Set Stabilization of Probabilistic Boolean Networks Using Pinning Control
Author(s): Fangfei Li; Lihua Xie
Pages: 2555 - 2561

27. Stability Analysis for Delayed Neural Networks via Improved Auxiliary Polynomial-Based Functions
Author(s): Zhichen Li; Huaicheng Yan; Hao Zhang; Xisheng Zhan; Congzhi Huang
Pages: 2562 - 2568

Saturday, 20 July 2019

IEEE TFS CALL FOR PAPERS – SPECIAL ISSUE ON TYPE-2 FUZZY-MODEL-BASED CONTROL AND ITS APPLICATIONS

I. AIM AND SCOPE
Nonlinear systems are difficult to analyze and control due to their intrinsic complexity. During the past decades, Fuzzy-Model-Based (FMB) control strategy has been recognized as one of the most effective control approaches for nonlinear systems. Takagi–Sugeno (T–S) fuzzy model plays an important role in FMB control systems and it has demonstrated a wide range of successful industrial applications. Thanks to its rigorous mathematical foundation, the stability analysis and control synthesis of T-S FMB control systems can be conducted in a systematic way. Prof. Kazuo Tanaka has made pioneering significant contribution to investigate the stability issues of T-S FMB control systems and relaxed the stability conditions by proposing the well-known parallel distributed compensation (PDC) method, which is the most popular method adopted to deal with (type-1) T-S FMB control systems.

Considering the ability of dealing with uncertainty directly, the importance and development of type-2 fuzzy sets and theory have been highly noticed and promoted by Prof. Jerry M. Mendel. Many researchers have devoted to contributing to the field of type-2 fuzzy set and its control applications. Just name a few, Prof. Jerry M. Mendel and Prof. Robert I. Bob John made significant contribution to advertize the necessity of (interval) type-2 fuzzy set; Prof. Dongrui Wu and Prof. Jerry M. Mendel developed the enhanced Karnik-Mendel algorithms for type-reduction; Prof. Woei Wan Tan utilized type-2 fuzzy logic to design the practical controllers; Prof. Tufan Kumbasar and Prof. Hani Hagras successfully applied the type-2 fuzzy set in control of mobile robots subject to uncertainty.

Introducing type-2 fuzzy sets into control strategies is a promising way to push the FMB control techniques to a new frontier. Beginning with the first attempt on the stability analysis and control synthesis of (interval) type-2 FMB control system by Dr. H.K. Lam in 2008 (Lam, H.K. and Seneviratne, L.D., 2008. Stability analysis of interval type-2 fuzzy-model-based control systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 38(3), pp.617-628), recently, the research on interval type-2 FMB control systems has drawn the attention of researchers. It is also worth mentioning that Prof. William Melek and Prof. Hao Ying have contributed excellent research works to the type-2 T-S/TSK FMB control field. Nonlinearity and uncertainty are generally considered as challenging components to be addressed during the system analysis and control design. The merit of type-2 FMB control techniques is to deal with nonlinearity/uncertainty in the system through type-2 fuzzy sets. Recent research outcomes of type-2 FMB have verified that type-2 FMB control strategy can be successfully applied to real-world nonlinear systems subject to uncertainty. Although there were already some seminal works on type-2 FMB control systems that can be found in the literature, there are still many interesting related topics await.

The potential research topics for type-2 FMB control systems can be the relaxation of stability/stabilization conditions, control methodologies, design of robust type-2 fuzzy controller, performance realization of type-2 fuzzy controller, applications of type-2 fuzzy control theory, etc. Inspired by the great research potential of type-2 FMB control systems, we believe that further efforts are worth to be devoted into these areas, which can promote the development of type-2 FMB control research and take it into next level.

This special issue is to serve as a vehicle to promote some focused frontier topics in the field of type-2 FMB control systems. A collection of high-quality type-2 fuzzy control related papers in a special issue will lead to the long-term impact that the accepted papers will serve as an indicator of the most influential topics, highlight the unique advantages of type-2 fuzzy control techniques, and provide reference and driving force in support of the research development.

II. TOPICS COVERED

The topics cover a broad range of research on the control issues of type-2 fuzzy logic systems. The solicited contributions involve the following applications (but not limited to):
  • Membership-function-dependent (MFD) analysis;
  • Type-2 fuzzy modeling;
  • Design of robust type-2 controller subject to the external disturbance;
  • Combination of type-2 fuzzy logic to polynomial FMB control systems;
  • Model reduction of type-2 FMB control systems;
  • New type-reduction methods of type-2 membership functions in FMB control systems;
  • Adaptive control of type-2 FMB systems;
  • Optimal control of type-2 FMB systems;
  • Stability/performance/robustness analysis of type-2 FMB control systems
  • Type-2 fuzzy neural-network control systems;
  • Networked type-2 FMB control systems;
  • Industrial applications of type-2 fuzzy systems.

Advanced type-2 methods involve the following technologies (but not limited to):
  • Type-2 FMB control with reinforcement learning;
  • Type-2 FMB control with medical robotics;
  • Type-2 FMB control with mobile robots;
  • Type-2 FMB control of bio-systems;
  • Type-2 FMB control of continuum robotic manipulator;
  • Type-2 FMB control with bio-inspired robotics;
  • Type-2 FMB control with evolutionary algorithms;
  • Type-2 FMB control with machine learning;
  • Type-2 FMB control with visual servo.

III. SUBMISSION GUIDELINES

All authors should read ‘Information for Authors’ before submitting a manuscript at https://cis.ieee.org/publications/t-fuzzy-systems/tfs-information-for-authors

Submissions should be through the IEEE TFS journal website http://mc.manuscriptcentral.com/tfs-ieee.

Submissions should also be in the correct format https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/

It is essential that your manuscript is identified as a Special Issue contribution:
 Ensure you choose ‘Special Issue’ when submitting.
 A cover letter must be included which includes the title ‘Special Issue on Type-2 Fuzzy-Model-Based Control and its Applications’

IV. IMPORTANT DATES


1 February 2020 – submission deadline
April 2020 – notification of the first-round review (for guidance)
May 2020 – revised submission due
July 2020 – final notification of acceptance/rejection

V. GUEST EDITORS

Dr. Bo Xiao
Imperial College London, London, UK
Email: b.xiao@imperial.ac.uk

Dr. H.K. Lam
King’s College London, London, UK
Email: hak-keung.lam@kcl.ac.uk

Prof. Kazuo Tanaka
University of Electro-Communications, Tokyo, Japan
Email: ktanaka@mce.uec.ac.jp

Prof. Jerry M. Mendel
University of Southern California, Los Angeles, USA
Email: mendel@sipi.usc.edu

Recently approved conference with technical co-sponsorship

4th International Conference on Computational Intelligence and Networks (CINE 2020)
February 27-29, 2020
Place: Kolkata, India
General Chair: Sanghamitra Bandyopadhyay
Website: https://www.isical.ac.in/~scc/CINE/index.html

Recently approved conferences with technical sponsorship

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)
July 11-14, 2021
Place: Luxembourg, Luxembourg
General Co-Chairs: Christian Wagner and Holger Voos
Website: TBA


2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022)
July 11-16, 2022
Place: Padua, Italy
General Co-Chairs: Marco Gori and Alessandro Sperduti
Website: TBA

Call for papers: AIDA-AT 2020

The 1st International Conference on Artificial Intelligence and Data Analytics for Air Transportation
AIDA-AT 2020
3-4 FEB 2020, Nanyang Executive Centre, Nanyang Technological University

Contact:
http://event.ntu.edu.sg/aidaat2020
aidaat@ntu.edu.sg

CALL FOR PAPERS

Welcome to the 1st International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT 2020), which will be held in Nanyang Executive Centre, Nanyang Technological University (NTU), Singapore, during February 3-4, 2020. AIDA-AT 2020 is organized by Air Traffic Management Research Institute (ATMRI), School of Mechanical and Aerospace Engineering, NTU and technically co-sponsored by IEEE Computational Intelligence Society (CIS).
The aim of the conference is to bring together world leading experts in Artificial Intelligence and Air Transportation on one platform to promote a fruitful research on well-described Air Transportation problems, using and developing techniques from Artificial Intelligence and Data Science, such as Machine Learning, Evolutionary Computation, Constraint Programming, Graph-based methods, Data-driven methods, Data Analytics, etc. Participation is invited on all topics relevant to these research themes, including:
  • Data Mining and Knowledge Discovery
  • Machine Learning
  • Neural Networks and Deep Learning
  • Constraint Programming
  • Graph and Tree-search Methods
  • Agent Oriented Techniques
  • Meta-Heuristics Techniques
  • Swarm Intelligence
  • Evolutionary Computation 
  • Data-Driven Air Transportation 
  • Intelligent Automation
  • Operational and Policy issues in Automation
  • Case studies of AI in Air Transportation
  • Trusted AI Systems
All accepted and presented papers will be published in the conference proceedings and indexed by IEEE Xplore Digital Library and Scopus.

IMPORTANT DATES

Full Paper Submission Deadline: 30 October 2019
Acceptance Notification: 1 December 2019
Camera-Ready Submission: 15 December 2019
AIDA-AT 2020 Conference: 3-4 February 2020

AIDA-AT 2020 Program Committee
  • Hussein Abbass | UNSW, Australia
  • Sameer Alam | ATMRI-NTU, Singapore
  • Richard Alligier | ENAC, France
  • Jean-Marc Alliot | IRIT, France
  • Michael Ball | UMD, United States
  • Henk Blom | TU-Delft, Netherlands
  • Marc Bui | EPHE, France
  • Nicolas Couellan | ENAC, France
  • Daniel Delahaye | ENAC, France
  • Imen Dhief | ATMRI-NTU, Singapore
  • Vu Duong | ATMRI-NTU, Singapore
  • Nicolas Durand | ENAC, France
  • Laurent El Ghaoui | UC Berkeley, United States
  • Luis Farinas del Cerro | CNRS, France
  • Eric Feron | KAUST, Saudi Arabia
  • Kozo Fujii | TUS, Japan
  • David Gianazza | ENAC, France
  • Sim Kuan Goh | ATMRI-NTU, Singapore
  • Bob Graham | EUROCONTROL, France
  • Eri Itoh | ENRI, Japan
  • Frank Klawonn | OU, Germany
  • Lishuai Li | CUHK, Hong Kong
  • Duc-Thinh Pham | ATMRI-NTU, Singapore
  • Michael Schultz | TU-Dresden, Germany
  • John Shortle | GMU, United States
  • Banavar Sridhar | NASA Ames, United States
  • Phu Tran | ATMRI-NTU, Singapore
  • Vikrant Vaze | Dartmouth, United States
  • Yanjun Wang | NUAA, China

AIDA-AT 2020 Organizing Committee

General Chair
Vu Duong | vu.duong@ntu.edu.sg

Conference Co-Chairs:
Sameer Alam | sameeralam@ntu.edu.sg
Nicolas Durand | durand@recherche.enac.fr

Program Co-Chairs:
Michael Schultz | michael.schultz@tu-dresden.de
Duc-Thinh Pham | dtpham@ntu.edu.sg

Publication Chair:
Phu Tran | phutran@ntu.edu.sg

Communication Chair:
Yanjun Wang | ywang@nuaa.edu.cn

Local Organizing Co-Chairs:
Sim Kuan Goh | skgoh@ntu.edu.sg
Imen Dhief | imen.dhief@ntu.edu.sg

Conference Secretariat:
Christabell Chua Lay Yen | lychua@ntu.edu.sg
Noorhayati Supari | noorhayati@ntu.edu.sg

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 7, July 2019

1. The Boundedness Conditions for Model-Free HDP(λ)
Author(s): Seaar Al-Dabooni; Donald Wunsch
Pages: 1928 - 1942

2. Training Passive Photonic Reservoirs With Integrated Optical Readout
Author(s): Matthias Freiberger; Andrew Katumba; Peter Bienstman; Joni Dambre
Pages: 1943 - 1953

3. Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection
Author(s): Xingxing Zhang; Zhenfeng Zhu; Yao Zhao; Dongxia Chang; Ji Liu
Pages: 1954 - 1966

4. Inverting the Generator of a Generative Adversarial Network
Author(s): Antonia Creswell; Anil Anthony Bharath
Pages: 1967 - 1974

5. Neuroadaptive Fault-Tolerant Control of Quadrotor UAVs: A More Affordable Solution
Author(s): Yongduan Song; Liu He; Dong Zhang; Jiye Qian; Jin Fu
Pages: 1975 - 1983

6. Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method
Author(s): Ruihan Hu; Sheng Chang; Hao Wang; Jin He; Qijun Huang
Pages: 1984 - 1997

7. A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities
Author(s): Qian Zhang; Jie Lu; Dianshuang Wu; Guangquan Zhang
Pages: 1998 - 2012

8. Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces
Author(s): Weiping Ding; Chin-Teng Lin; Zehong Cao
Pages: 2013 - 2027

9. Two-Dimensional Quaternion PCA and Sparse PCA
Author(s): Xiaolin Xiao; Yicong Zhou
Pages: 2028 - 2042

10. L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Author(s): Shuang Wu; Guoqi Li; Lei Deng; Liu Liu; Dong Wu; Yuan Xie; Luping Shi
Pages: 2043 - 2051

11. Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching
Author(s): Zhenyuan Guo; Linlin Liu; Jun Wang
Pages: 2052 - 2066

12. Robust Subspace Clustering by Cauchy Loss Function
Author(s): Xuelong Li; Quanmao Lu; Yongsheng Dong; Dacheng Tao
Pages: 2067 - 2078

13. Tracking Sparse Linear Classifiers
Author(s): Tingting Zhai; Frédéric Koriche; Hao Wang; Yang Gao
Pages: 2079 - 2092

14. Extreme Learning Machine With Affine Transformation Inputs in an Activation Function
Author(s): Jiuwen Cao; Kai Zhang; Hongwei Yong; Xiaoping Lai; Badong Chen; Zhiping Lin
Pages: 2093 - 2107

15. Low-Voltage Low-Power Integrable CMOS Circuit Implementation of Integer- and Fractional–Order FitzHugh–Nagumo Neuron Model
Author(s): Farooq Ahmad Khanday; Nasir Ali Kant; Mohammad Rafiq Dar; Tun Zainal Azni Zulkifli; Costas Psychalinos
Pages: 2108 - 2122

16. Global Nonfragile Synchronization in Finite Time for Fractional-Order Discontinuous Neural Networks With Nonlinear Growth Activations
Author(s): Xiao Peng; Huaiqin Wu; Jinde Cao
Pages: 2123 - 2137

17. Topic-Based Algorithm for Multilabel Learning With Missing Labels
Author(s): Jianghong Ma; Tommy W. S. Chow
Pages: 2138 - 2152

18. Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time
Author(s): Shuai Sui; C. L. Philip Chen; Shaocheng Tong
Pages: 2153 - 2162

19. Biased Random Forest For Dealing With the Class Imbalance Problem
Author(s): Mohammed Bader-El-Den; Eleman Teitei; Todd Perry
Pages: 2163 - 2172

20. Fast and Accurate Sparse Coding of Visual Stimuli With a Simple, Ultralow-Energy Spiking Architecture
Author(s): Walt Woods; Christof Teuscher
Pages: 2173 - 2187

21. Adaptive Leader-Following Consensus for Multiple Euler–Lagrange Systems With an Uncertain Leader System
Author(s): Shimin Wang; Jie Huang
Pages: 2188 - 2196

22. Effects of State-Dependent Impulses on Robust Exponential Stability of Quaternion-Valued Neural Networks Under Parametric Uncertainty
Author(s): Xujun Yang; Chuandong Li; Qiankun Song; Hongfei Li; Junjian Huang
Pages: 2197 - 2211

23. Data Subset Selection With Imperfect Multiple Labels
Author(s): Meng Fang; Tianyi Zhou; Jie Yin; Yang Wang; Dacheng Tao
Pages: 2212 - 2221

24. Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems
Author(s): Dong Liu; Guang-Hong Yang
Pages: 2222 - 2230

25. Visualization Methods for Image Transformation Convolutional Neural Networks
Author(s): Églen Protas; José Douglas Bratti; Joel F. O. Gaya; Paulo Drews; Silvia S. C. Botelho
Pages: 2231 - 2243

26. Deep FisherNet for Image Classification
Author(s): Peng Tang; Xinggang Wang; Baoguang Shi; Xiang Bai; Wenyu Liu; Zhuowen Tu
Pages: 2244 - 2250

Thursday, 20 June 2019

Call for Papers: RiTA 2019

The 7th International Conference on Robot Intelligence Technology and Applications (RiTA 2019)
November 1 - 3, 2019
KAIST, Daejeon, KOREA
2019.icrita.org

The 7th International Conference on Robot Intelligence Technology and Applications (RiTA 2019) will take place on 1 – 3 November 2019 in conjunction with the 2nd AI World Cup 2019 at KAIST, Daejeon, KOREA. The theme of this year’s conference is: “Intelligent robots in daily life:  helping, entertaining and competing”. As robot intelligence improves we will have more robots to help us at home and at work. They will also entertain and comfort us and even help to educate our children at school. This conference will present the latest research results and applications in the field of robot intelligence. Researchers from around the world will share their knowledge and experience in artificial intelligence and robotics. The conference is an excellent opportunity for in-depth discussions and social networking with other researchers.

CONFERENCE SCOPE
  • Cognitive Intelligence
  • Social Intelligence
  • Ambient Intelligence
  • Collective Intelligence
  • Genetic Intelligence
  • Artificial Intelligence 
  • Applications

IMPORTANT DATES
  • July 15, 2019: Deadline of Paper Submission
  • August 31, 2019: Notification of Acceptance
  • September 30, 2019: Final Paper Submission Due

PUBLICATIONS
Accepted and presented papers will be published in the Conference Proceedings and submitted to IEEE Xplore® online digital library.

JOINT EVENT – AIWC 2019
Artificial Intelligence World Cup (AIWC) 2019 will be co-located with the RiTA 2019. It is the first world-wide competition of on-line soccer teams simulated by AI, held every year. AI World Cup provides an ambitious and technologically versatile platform to prove AI excellence of participants, and is open to a number of international teams. AI World Cup aims to inspire the future of AI technology through innovative solutions and technological competence. For more information, visit the website, aiworldcup.org.

TECHNICAL CO-SPONSOR: IEEE Computational Intelligence Society (CIS)

Organized by:
  • Institute of Control, Robotics and Systems (ICROS)
  • Korea Advanced Institute of Science and Technology (KAIST)
  • Machine Intelligence and Robotics Multi-Sponsored Research and Education Platform (MIR-MSREP)

RiTA 2019 Secretariat
rita@icrita.org
2019.icrita.org

Sunday, 16 June 2019

IEEE Transactions on Cognitive and Developmental Systems, Vol.11, No.2, Jun. 2019

1. Guest Editorial Neuro-Robotics Systems: Sensing, Cognition, Learning, and Control
Authors: Z. Li, F. Chen, A. Bicchi, Y. Sun and T. Fukuda
Pages: 145-147

2. Combined Sensing, Cognition, Learning, and Control for Developing Future Neuro-Robotics Systems: A Survey
Authors: J. Li, Z. Li, F. Chen, A. Bicchi, Y. Sun and T. Fukuda
Pages: 148-161

3. Multimodal Human Hand Motion Sensing and Analysis—A Review
Authors: Y. Xue, Z. Ju, K. Xiang, J. Chen and H. Liu
Pages: 162-175

4. Active Visual-Tactile Cross-Modal Matching
Authors: H. Liu, F. Wang, F. Sun and X. Zhang,
Pages: 176-187

5. Fused Fuzzy Petri Nets: A Shared Control Method for Brain–Computer Interface Systems
Authors: F. Sun, W. Zhang, J. Chen, H. Wu, C. Tan and W. Su
Pages: 188-199

6. Bio-Inspired Equilibrium Point Control Scheme for Quadrupedal Locomotion
Authors: Y. Shi, P. Wang, X. Wang, F. Zha, Z. Jiang, W. Guo, and M. Li
Pages: 200-209

7. Episodic Memory Multimodal Learning for Robot Sensorimotor Map Building and Navigation
Authors: W. H. Chin, Y. Toda, N. Kubota, C. K. Loo and M. Seera
Pages: 210-220

8. An Initiative Service Method Based on Fuzzy Analytical Hierarchy Process and Context Intention Inference for Drinking Service Robot
Authors: M. Hao, W. Cao, M. Wu, Z. Liu and S. Li
Pages: 221-233

9. Fuzzy Linguistic Odor Cognition for Robotics Olfaction
Authors: D. Yan, H. Cao, P. Zhang and S. Yang,
Pages: 234-243

10. Evolving a Sensory–Motor Interconnection Structure for Adaptive Biped Robot Locomotion
Authors: A. A. Saputra, J. Botzheim and N. Kubota
Pages: 244-256

11. Regrasp Planning Using Stable Object Poses Supported by Complex Structures
Authors: J. Ma, W. Wan, K. Harada, Q. Zhu and H. Liu
Pages: 257-269
 
12.
Using High-Frequency Local Field Potentials From Multicortex to Decode Reaching and Grasping Movements in Monkey
Authors: P. Zhang , J. Huang, W. Li, X. Ma, P. Yang, J. Dai, and J. He
Pages: 270-280

13. Biologically Inspired Motion Modeling and Neural Control for Robot Learning From Demonstrations
Authors: C. Yang, C. Chen, N. Wang, Z. Ju, J. Fu and M. Wang
Pages: 281-291

14. A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks
Authors: P. Tommasino, D. Caligiore, M. Mirolli and G. Baldassarre
Pages: 292-317

Saturday, 15 June 2019

Call for Participation: FUZZ-IEEE 2019

Call for Participation

FUZZ-IEEE 2019

JW Marriott New Orleans

June 23-26,2019

On behalf of the FUZZ-IEEE 2019 Organizing Committee, it is our greatest pleasure to invite you to the 2019 IEEE Conference on Fuzzy Systems which will be held June 23-26, 2019 in the magnificent city of New Orleans, Louisiana, USA.

More Information : https://attend.ieee.org/fuzzieee-2019/

Monday, 10 June 2019

CALL FOR PARTICIPATION: 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics

9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019)

Web page: https://icdl-epirob2019.org

We think we have put together an exiting program with keynotes, oral and poster paper presentations and workshops as seen in the Preliminary Program: https://icdl-epirob2019.org/program/
 
Keynote Speakers

  • Prof. Aude Billard, École Polytechnique Fédérale de Lausanne, Switzerland
  • Prof. Hod Lipson, Columbia University, USA
  • Prof. Michael J. Frank, Brown University, USA
  • Prof. Stefanie Höhl, University of Vienna, Austria
See: https://icdl-epirob2019.org/keynotes

Registration at reduced fees until June 16: https://icdl-epirob2019.org/registration/

Overview
ICDL-EpiRob is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies to share knowledge and research on how intelligent biological and artificial systems develop sensing, reasoning and actions. This includes development of cognitive and social abilities through dynamic interactions with their physical and social environments. This is with a twofold objective: to gain a better understanding of human and animal intelligence, and to enable artificial systems with more adaptive and flexible behaviors.

This will be the ninth time the conference is organized, and we invite submissions for the conference in 2019 to explore, extend, and  consolidate the interdisciplinary boundaries of this exciting research field.

Scope and  Topics
Topics of interest include (but are not limited to):
  • principles and theories of development and learning;
  • development of skills in biological systems and robots;
  • nature vs nurture, developmental stages;
  • models on the contributions of interaction to learning
  • models on active learning
  • architectures for lifelong learning;
  • emergence of body and affordance perception;
  • analysis and modelling of human motion and state
  • models for prediction, planning and problem solving;
  • models of human-human and human-robot interaction;
  • emergence of verbal and non-verbal communication;
  • epistemological foundations and philosophical issues;
  • robot prototyping of human and animal skills
  • ethics in computational intelligence and robotics

Organizing committee

General  chairs: Jim Torresen (University of Oslo, Norway) and Kerstin Dautenhahn (University of Waterloo, Canada/University of Hertfordshire, UK)

Program chairs:  Kai Olav Ellefsen (University of Oslo) and Katharina J. Rohlfing (Paderborn University, Germany)

Finance / Website Chairs: Kyrre Glette and Charles Martin (University of Oslo)

Publicity  chairs: Bruno  Castro da Silva (UFRGS, Brazil), Kazi Shah Nawaz Ripon (NTNU, Norway) and Ryo Kurazume (Kyushu University, Japan)

Bridge chair:  Tetsuya Ogata (Waseda University, Japan) and Emre Ugur (Bogazici University, Turkey)

Local chairs:  Bruno Laeng and Tor Endestad (University of Oslo)

We would very like to welcome you and hope to see you in Oslo in August.

Best regards from the organising committee,

Bruno  Castro da Silva, Kazi Shah Nawaz Ripon and Ryo Kurazume (Publicity chairs)
Kai Olav Ellefsen and Katharina J. Rohlfing (Program chairs)
Jim Torresen and Kerstin Dautenhahn (General  chairs)

Sunday, 2 June 2019

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 3, Number 3, June 2019

1. Guest Editorial: Special Issue on Computational Intelligence for Smart Energy Applications to Smart Cities
Author(s): Wei-Yu Chiu ; Hongjian Sun ; Chao Wang ; Athanasios Vasilakos
Pages: 173 - 176

2. Collaborative Energy Management for a Residential Community: A Non-Cooperative and Evolutionary Approach
Author(s): Batchu Rajasekhar ; Naran Pindoriya ; Wayes Tushar ; Chau Yuen
Pages: 177 - 192

3. ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min–Max Classifier
Author(s): Stefano Leonori ; Alessio Martino ; Fabio Massimo Frattale Mascioli ; Antonello Rizzi
Pages: 193 - 204

4. Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles
Author(s): Zhenyu Zhou ; Bingchen Wang ; Yufei Guo ; Yan Zhang
Pages: 205 - 216

5. Joint Energy and QoS-Aware Memetic-Based Scheduling for M2M Communications in LTE-M
Author(s): Samir Dawaliby ; Abbas Bradai ; Yannis Pousset ; Christian Chatellier
Pages: 217 - 229

6. New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods
Author(s): Jacek Mańdziuk
Pages: 230 - 244

7. Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets
Author(s): Lidia Ghosh ; Amit Konar ; Pratyusha Rakshit ; Atulya K. Nagar
Pages: 245 - 260

8. Handwriting Trajectory Reconstruction Using Low-Cost IMU
Author(s): Tse-Yu Pan ; Chih-Hsuan Kuo ; Hou-Tim Liu ; Min-Chun Hu
Pages: 261 - 270

9. Computational Intelligence in Automatic Face Age Estimation: A Survey
Author(s): Omaima FathElrahman Osman ; Moi Hoon Yap
Pages: 271 - 285

IEEE Transactions on Fuzzy Systems, Volume 27, Number 6, June 2019

1. Indirect Adaptive Fuzzy Control Design With Guaranteed Tracking Error Performance For Uncertain Canonical Nonlinear Systems
Author(s): Guanyu Lai ; Yun Zhang ; Zhi Liu ; C. L. Philip Chen
Pages: 1139 - 1150

2. Bisimilarity in Fuzzy Description Logics Under the Zadeh Semantics
Author(s): Linh Anh Nguyen
Pages: 1151 - 1161

3. Multiview Fuzzy Logic System With the Cooperation Between Visible and Hidden Views
Author(s): Te Zhang ; Zhaohong Deng ; Dongrui Wu ; Shitong Wang
Pages: 1162 - 1173

4. A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System
Author(s): Yosra Jarraya ; Souhir Bouaziz ; Hani Hagras ; Adel M. Alimi
Pages: 1174 - 1188

5. Analysis of the Fuzzy Economic Production Lot Size Inventory Problem Without an Explicit Membership Function
Author(s): Shih-Pin Chen ; Yu-Wen Chen
Pages: 1189 - 1200

6. Observer-Based Event-Triggered Adaptive Decentralized Fuzzy Control for Nonlinear Large-Scale Systems
Author(s): Liang Cao ; Hongyi Li ; Ning Wang ; Qi Zhou
Pages: 1201 - 1214

7. Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Approach
Author(s): Xiaojie Su ; Yao Wen ; Peng Shi ; Hak-Keung Lam
Pages: 1215 - 1225

8. On Convergence of the Class Membership Estimator in Fuzzy k-Nearest Neighbor Classifier
Author(s): Imon Banerjee ; Sankha Subhra Mullick ; Swagatam Das
Pages: 1226 - 1236

9. A Constrained Representation Theorem for Well-Shaped Interval Type-2 Fuzzy Sets, and the Corresponding Constrained Uncertainty Measures
Author(s): Dongrui Wu ; Hai-Tao Zhang ; Jian Huang
Pages: 1237 - 1251

10. A Fuzzy Multilayer Assessment Method for EFQM
Author(s): Jay Daniel ; Mohsen Naderpour ; Chin-Teng Lin
Pages: 1252 - 1262

11. Stabilization of Chaotic Systems With T–S Fuzzy Model and Nonuniform Sampling: A Switched Fuzzy Control Approach
Author(s): Xin Wang ; Ju H. Park ; Kun She ; Shouming Zhong ; Lin Shi
Pages: 1263 - 1271

12. Controlling Uncertain Swarm Mechanical Systems: A β-Measure-Based Approach
Author(s): Xiaomin Zhao ; Ye-Hwa Chen ; Fangfang Dong ; Han Zhao
Pages: 1272 - 1285

13. A Variable Neighborhood Search Algorithm for Solving Fuzzy Number Linear Programming Problems Using Modified Kerre's Method
Author(s): Reza Ghanbari ; Khatere Ghorbani-Moghadam ; Nezam Mahdavi-Amiri
Pages: 1286 - 1294

14. Robust Fuzzy Predictive Control for Automatic Train Regulation in High-Frequency Metro Lines
Author(s): Xi Wang ; Shukai Li ; Shuai Su ; Tao Tang
Pages: 1295 - 1308

15. Melting Probability Measure With OWA Operator to Generate Fuzzy Measure: The Crescent Method
Author(s): LeSheng Jin ; Radko Mesiar ; Ronald R. Yager
Pages: 1309 - 1316

16. A Space Efficient Minimum Spanning Tree Approach to the Fuzzy Joint Points Clustering Algorithm
Author(s): Can Atilgan ; Efendi N. Nasibov
Pages: 1317 - 1322

Saturday, 1 June 2019

IEEE Transactions on Evolutionary Computation, Volume 23, Issue 3, June 2019

1. Evolutionary Many-Objective Optimization Based on Dynamical Decomposition
Author(s): Xiaoyu He ; Yuren Zhou ; Zefeng Chen ; Qingfu Zhang
Pages: 361 - 375

2. Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization
Author(s): Mengyuan Wu ; Ke Li ; Sam Kwong ; Qingfu Zhang ; Jun Zhang
Pages: 376 - 390

3. A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems
Author(s): Qiuzhen Lin ; Songbai Liu ; Ka-Chun Wong ; Maoguo Gong ; Carlos A. Coello Coello ; Jianyong Chen ; Jun Zhang
Pages: 391 - 405

4. Memetic Evolution for Generic Full-Body Inverse Kinematics in Robotics and Animation
Author(s): Sebastian Starke ; Norman Hendrich ; Jianwei Zhang
Pages: 406 - 420

5. A Survey on Cooperative Co-Evolutionary Algorithms
Author(s): Xiaoliang Ma ; Xiaodong Li ; Qingfu Zhang ; Ke Tang ; Zhengping Liang ; Weixin Xie ; Zexuan Zhu
Pages: 421 - 441

6. Data-Driven Evolutionary Optimization: An Overview and Case Studies
Author(s): Yaochu Jin ; Handing Wang ; Tinkle Chugh ; Dan Guo ; Kaisa Miettinen
Pages: 442 - 458

7. Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems
Author(s): Jie Tian ; Ying Tan ; Jianchao Zeng ; Chaoli Sun ; Yaochu Jin
Pages: 459 - 472

8. Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification
Author(s): Binh Tran ; Bing Xue ; Mengjie Zhang
Pages: 473 - 487

9. Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators
Author(s): Qi Chen ; Bing Xue ; Mengjie Zhang
Pages: 488 - 502

10. Multiphase Balance of Diversity and Convergence in Multiobjective Optimization
Author(s): Haitham Seada ; Mohamed Abouhawwash ; Kalyanmoy Deb
Pages: 503 - 513

11. A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints
Author(s): Patrick Spettel ; Hans-Georg Beyer ; Michael Hellwig
Pages: 514 - 524

12. A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization
Author(s): Wenjing Hong ; Ke Tang ; Aimin Zhou ; Hisao Ishibuchi ; Xin Yao
Pages: 525 - 537

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 6, June 2019.

1. On the Universality of Memcomputing Machines
Author(s): Yan Ru Pei; Fabio L. Traversa; Massimiliano Di Ventra
Pages: 1610 - 1620

2. Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction
Author(s): Meiling Xu; Yuanzhe Yang; Min Han; Tie Qiu; Hongfei Lin
Pages: 1621 - 1634

3. Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning
Author(s): Maryam Hashemzadeh; Reshad Hosseini; Majid Nili Ahmadabadi
Pages: 1635 - 1650

4. Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks
Author(s): Vignesh Narayanan; Sarangapani Jagannathan; Kannan Ramkumar
Pages: 1651 - 1658

5. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion
Author(s): Xiongjun Zhang
Pages: 1659 - 1671

6. Coupled Neural P Systems
Author(s): Hong Peng; Jun Wang
Pages: 1672 - 1682

7. Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions
Author(s): Wentao Fan; Nizar Bouguila; Ji-Xiang Du; Xin Liu
Pages: 1683 - 1694

8. Finite-Horizon l2−l∞ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case
Author(s): Yong Xu; Jun-Yi Li; Renquan Lu; Chang Liu; Yuanqing Wu
Pages: 1695 - 1704

9. Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling
Author(s): Nikolaos Passalis; Anastasios Tefas
Pages: 1705 - 1715

10. The State Following Approximation Method
Author(s): Joel A. Rosenfeld; Rushikesh Kamalapurkar; Warren E. Dixon
Pages: 1716 - 1730

11. Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
Author(s): Bing Cao; Nannan Wang; Jie Li; Xinbo Gao
Pages: 1731 - 1743

12. Attention Inspiring Receptive-Fields Network for Learning Invariant Representations
Author(s): Lu Yang; Qing Song; Yingqi Wu; Mengjie Hu
Pages: 1744 - 1755

13. Adaptive Neural Control for MIMO Pure-Feedback Nonlinear Systems With Periodic Disturbances
Author(s): Renwei Zuo; Xinmin Dong; Yongzhi Liu; Zongcheng Liu; Wenqian Zhang
Pages: 1756 - 1767

14. Deep Transfer Low-Rank Coding for Cross-Domain Learning
Author(s): Zhengming Ding; Yun Fu
Pages: 1768 - 1779

15. Finite-Time Distributed Average Tracking for Second-Order Nonlinear Systems
Author(s): Yu Zhao; Yongfang Liu; Guanghui Wen; Tingwen Huang
Pages: 1780 - 1789

16. Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images
Author(s): Jiangtao Peng; Luoqing Li; Yuan Yan Tang
Pages: 1790 - 1802

17. Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization
Author(s): Qiquan Shi; Yiu-Ming Cheung; Qibin Zhao; Haiping Lu
Pages: 1803 - 1817

18. Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space
Author(s): Xinmei Tian; Ya Li; Tongliang Liu; Xinchao Wang; Dacheng Tao
Pages: 1818 - 1830

19. Stable and Efficient Policy Evaluation
Author(s): Daoming Lyu; Bo Liu; Matthieu Geist; Wen Dong; Saad Biaz; Qi Wang
Pages: 1831 - 1840

20. Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme
Author(s): Hao Shen; Ting Wang; Jinde Cao; Guoping Lu; Yongduan Song; Tingwen Huang
Pages: 1841 - 1853

21. Global Exponential Stability and Synchronization for Discrete-Time Inertial Neural Networks With Time Delays: A Timescale Approach
Author(s): Qiang Xiao; Tingwen Huang; Zhigang Zeng
Pages: 1854 - 1866

22. Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data
Author(s): Xiaofeng Cao; Baozhi Qiu; Xiangli Li; Zenglin Shi; Guandong Xu; Jianliang Xu
Pages: 1867 - 1880

23. Model Order Reduction Based on Agglomerative Hierarchical Clustering
Author(s): Seaar Al-Dabooni; Donald Wunsch
Pages: 1881 - 1895

24. Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning
Author(s): Kai Li; Zhengming Ding; Sheng Li; Yun Fu
Pages: 1896 - 1907

25. Convergence Conditions for Solving Robust Iterative Learning Control Problems Under Nonrepetitive Model Uncertainties
Author(s): Deyuan Meng
Pages: 1908 - 1919

26. Weighted p-Bits for FPGA Implementation of Probabilistic Circuits
Author(s): Ahmed Zeeshan Pervaiz; Brian M. Sutton; Lakshmi Anirudh Ghantasala; Kerem Y. Camsari
Pages: 1920 - 1926

Monday, 6 May 2019

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 5, May 2019

1. Deep Neural Network Initialization With Decision Trees
Author(s): Kelli D. Humbird; J. Luc Peterson; Ryan G. Mcclarren
Pages: 1286 - 1295

2. Neural Learning Control of Strict-Feedback Systems Using Disturbance Observer
Author(s): Bin Xu; Yingxin Shou; Jun Luo; Huayan Pu; Zhongke Shi
Pages: 1296 - 1307

3. Off-Policy Interleaved  Q-Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems
Author(s): Jinna Li; Tianyou Chai; Frank L. Lewis; Zhengtao Ding; Yi Jiang
Pages: 1308 - 1320

4. Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation
Author(s): Pengfei Wei; Yiping Ke; Chi Keong Goh
Pages: 1321 - 1334

5. On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions
Author(s): Linyan Gu; Jianfeng Huang; Lihua Yang
Pages: 1335 - 1347

6. Pool-Based Sequential Active Learning for Regression
Author(s): Dongrui Wu
Pages: 1348 - 1359

7. Stochastic Conjugate Gradient Algorithm With Variance Reduction
Author(s): Xiao-Bo Jin; Xu-Yao Zhang; Kaizhu Huang; Guang-Gang Geng
Pages: 1360 - 1369

8. Quantized Minimum Error Entropy Criterion
Author(s): Badong Chen; Lei Xing; Nanning Zheng; José C. Príncipe
Pages: 1370 - 1380

9. Heterogeneous Domain Adaptation Through Progressive Alignment
Author(s): Jingjing Li; Ke Lu; Zi Huang; Lei Zhu; Heng Tao Shen
Pages: 1381 - 1391

10. Generalization and Expressivity for Deep Nets
Author(s): Shao-Bo Lin
 1392 - 1406

11. Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
Author(s): Dat Thanh Tran; Alexandros Iosifidis; Juho Kanniainen; Moncef Gabbouj
Pages: 1407 - 1418

12. Face Sketch Synthesis by Multidomain Adversarial Learning
Author(s): Shengchuan Zhang; Rongrong Ji; Jie Hu; Xiaoqiang Lu; Xuelong Li
Pages: 1419 - 1428

13. Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search
Author(s): Lu Jin; Kai Li; Zechao Li; Fu Xiao; Guo-Jun Qi; Jinhui Tang
Pages: 1429 - 1440

14. Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems
Author(s): Marc-André Carbonneau; Eric Granger; Ghyslain Gagnon
Pages: 1441 - 1451

15. Nonuniformly Sampled Data Processing Using LSTM Networks
Author(s): Safa Onur Sahin; Suleyman Serdar Kozat
Pages: 1452 - 1461

16. Distributed Adaptive Tracking Synchronization for Coupled Reaction–Diffusion Neural Network
Author(s): Hao Zhang; Nikhil R. Pal; Yin Sheng; Zhigang Zeng
Pages: 1462 - 1475

17. Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method
Author(s): Zhengqiu Zhang; Jinde Cao
Pages: 1476 - 1485

18. Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension
Author(s): Liping Xie; Dacheng Tao; Haikun Wei
Pages: 1486 - 1496

19. LTNN: A Layerwise Tensorized Compression of Multilayer Neural Network
Author(s): Hantao Huang; Hao Yu
Pages: 1497 - 1511

20. Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games
Author(s): Vignesh Narayanan; Avimanyu Sahoo; Sarangapani Jagannathan; Koshy George
Pages: 1512 - 1522

21. Output Feedback Q-Learning Control for the Discrete-Time Linear Quadratic Regulator Problem
Author(s): Syed Ali Asad Rizvi; Zongli Lin
Pages: 1523 - 1536

22. Multistability of Delayed Hybrid Impulsive Neural Networks With Application to Associative Memories
Author(s): Bin Hu; Zhi-Hong Guan; Guanrong Chen; Frank L. Lewis
Pages: 1537 - 1551

23. STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation
Author(s): Dong Nie; Li Wang; Yaozong Gao; Jun Lian; Dinggang Shen
Pages: 1552 - 1564

24. A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending
Author(s): Fei Tan; Xiurui Hou; Jie Zhang; Zhi Wei; Zhenyu Yan
Pages: 1565 - 1574

25. Dynamical Behavior of Nonautonomous Stochastic Reaction–Diffusion Neural-Network Models
Author(s): Tengda Wei; Ping Lin; Quanxin Zhu; Linshan Wang; Yangfan Wang
Pages: 1575 - 1580

26. Hierarchical Feature Selection for Random Projection
Author(s): Qi Wang; Jia Wan; Feiping Nie; Bo Liu; Chenggang Yan; Xuelong Li
Pages: 1581 - 1586

27. Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection
Author(s): Xuelong Li; Han Zhang; Rui Zhang; Yun Liu; Feiping Nie
Pages: 1587 - 1595

28. Output-Feedback Adaptive Neural Controller for Uncertain Pure-Feedback Nonlinear Systems Using a High-Order Sliding Mode Observer
Author(s): Jang-Hyun Park; Seong-Hwan Kim; Tae-Sik Park
Pages: 1596 - 1601

29. Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality
Author(s): Shounak Datta; Swagatam Das
Pages: 1602 - 1608

Wednesday, 10 April 2019

IEEE Transactions on Fuzzy Systems - Papers Published April 2019

1. General 3-D Type-II Fuzzy Logic Systems in the Polar Frame: Concept and Practice
Author(s): H Zakeri, F M Nejad, A Fahimifar

2. Survey of Fuzzy Min–Max Neural Network for Pattern Classification Variants and Applications
Author(s): O N Al Sayaydeh, M F Mohammed, C P Lim

3. A Novel Finite-Time Adaptive Fuzzy Tracking Control Scheme for Nonstrict Feedback Systems
Author(s): Y Liu, X Liu, Y Jing, Z Zhang

4. Dissipativity-Preserving Model Reduction for Takagi–Sugeno Fuzzy Systems
Author(s): Y Ren, Q Li, D-W Ding, X Xie

5. Quality Control Process Based on Fuzzy Random Variables
Author(s): G Hesamian, M G Akbari, R Yaghoobpoor

6. Multiobjective $H_{2}/H_{\infty }$ Control Design of the Nonlinear Mean-Field Stochastic Jump-Diffusion Systems via Fuzzy Approach
Author(s): C-F Wu, B-S Chen, W Zhang

7. A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity
Author(s): J Cozar, A Fernandez, F Herrera, J A Gamez

8. A Method of Measuring Uncertainty for Z-Number
Author(s): B Kang, Y Deng, K Hewage, R Sadiq

9. A Weighted Least Squares Fuzzy Regression for Crisp Input-Fuzzy Output Data
Author(s): J Chachi

10. An SOS-Based Sliding Mode Controller Design for a Class of Polynomial Fuzzy Systems
Author(s): H Zhang, Y Wang, J Zhang, Y Wang

11. Fuzzy Pushdown Termination Games
Author(s): H Pan, F Song, Y Cao, J Qian

12. Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox
Author(s): W Lu, D Shan, W Pedrycz, L Zhang, J Yang, X Liu

13. Decentralized Dissipative Filtering for Delayed Nonlinear Interconnected Systems Based on T–S Fuzzy Model
Author(s): Y Liu, F Fang, J H Park

14. Delayed Fuzzy Control of a 1-D Reaction-Diffusion Equation Using Sampled-in-Space Sensing and Actuation
Author(s): W Kang, D-W Ding

15. Supervised Learning to Aggregate Data With the Sugeno Integral
Author(s): M Gagolewski, S James, G Beliakov

16. Interval Observer Design for Discrete-Time Uncertain Takagi–Sugeno Fuzzy Systems
Author(s): J Li, Z Wang, Y Shen, Y Wang

17. Characterization of Quadratic Aggregation Functions
Author(s): S Tasena

IEEE Transactions on Fuzzy Systems - Papers Published March 2019

1. Intelligent Backstepping Control Using Recurrent Feature Selection Fuzzy Neural Network for Synchronous Reluctance Motor Position Servo Drive System
Author(s): F-J Lin, S-G Chen, C-W Hsu

2. Generalized Dempster–Shafer Structures
Author(s): R R Yager

3. Fuzzy Peak-to-Peak Filtering for Networked Nonlinear Systems With Multipath Data Packet Dropouts
Author(s): X-H Chang; Q Liu, Y-M Wang, J Xiong

4. Distributed Fuzzy Adaptive Backstepping Optimal Control for Nonlinear Multimissile Guidance Systems With Input Saturation
Author(s): J Sun, C Liu

5. Dynamic Output Feedback Predictive Control With One Free Control Move for the Takagi–Sugeno Model With Bounded Disturbance
Author(s): J Hu, B Ding

6. Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods
Author(s): F Feng, H Fujita, M I Ali, R R Yager, X Liu

7. A Novel Three-Dimensional Fuzzy Modeling Method for Nonlinear Distributed Parameter Systems
Author(s): X-X Zhang, L-R Zhao, H-X Li, S-W Ma

8. iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization
Author(s): A Starkey, H Hagras, S Shakya, G Owusu

9. Similarity Measures for Closed General Type-2 Fuzzy Sets: Overview, Comparisons, and a Geometric Approach
Author(s): D Wu, J M Mendel

10. Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection
Author(s): A Tan, W-Z Wu, Y Qian, J Liang, J Chen, J Li

11. Novel Stabilization Criteria for T–S Fuzzy Systems With Affine Matched Membership Functions
Author(s): S Lee

12. Wavelet-TSK-Type Fuzzy Cerebellar Model Neural Network for Uncertain Nonlinear Systems
Author(s): J Zhao, C-M Lin

13. Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making
Author(s): R-X Ding, X Wang, K Shang, B Liu, F Herrera

14. Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics
Author(s): C Yang, Y Jiang, J Na, Z Li, L Cheng, C-Y Su

15. The Properties of Fuzzy Tensor and Its Application in Multiple Attribute Group Decision Making
Author(s): S Deng, J Liu, X Wang

16. The Non-Smoothness Problem in Disturbance Observer Design: A Set-Invariance-Based Adaptive Fuzzy Control Method
Author(s): M Lv, S Baldi, Z Liu

17. Monotonic Smooth Takagi–Sugeno Fuzzy Systems With Fuzzy Sets With Compact Support
Author(s): P Husek

18. Ordered Weighted Averaging Aggregation on Convex Poset
Author(s): L Jin, R Mesiar, R Yager

IEEE Transactions on Fuzzy Systems - Papers Published February 2019

1. Online Performance-Based Adaptive Fuzzy Dynamic Surface Control for Nonlinear Uncertain Systems Under Input Saturation
Author(s): P Wang, X Zhang, J Zhu

2. A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups
Author(s): C-C Li, Y Dong, F Herrera

3. A Goal-Programming-Based Heuristic Approach to Deriving Fuzzy Weights in Analytic Form from Triangular Fuzzy Preference Relations
Author(s): Z-J Wang

4. Finite-Time Stabilization for Discontinuous Interconnected Delayed Systems via Interval Type-2 T–S Fuzzy Model Approach
Author(s): N Rong, Z Wang, H Zhang

5. Efficient Robust Fuzzy Model Predictive Control of Discrete Nonlinear Time-Delay Systems via Razumikhin Approach
Author(s): L Teng, Y Wang, W Cai, H Li

6. Omitting Types Theorem for Fuzzy Logics
Author(s): P Cintula, D Diaconescu

7. A Novel Fuzzy Observer-Based Steering Control Approach for Path Tracking in Autonomous Vehicles
Author(s): C Zhang, J Hu, J Qiu, W Yang, H Sun, Q Chen

8. Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning
Author(s): H Zuo, J Lu, G Zhang, F Liu

9. Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation
Author(s): S Yang, B Deng, J Wang, C Liu, H Li, Q Lin, C Fietkie, K A Loparo

10. Consensus Building With Individual Consistency Control in Group Decision Making
Author(s): C-C Li, R M Rodrigues, L Martinez, Y Dong, F Herrera

11. General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model
Author(s): A Rubio-Solis, P Melin, U Martinez-Hernandez, G Panoutsos

12. Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces
Author(s): H Zuo, J Lu, G Zhang, W Pedrycz

13. From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets: A Unified View of Different Axiomatic Measures
Author(s): I Couso, H Bustince

14. Consistency Measures of Linguistic Preference Relations With Hedges
Author(s): H Wang, Z Xu, X-J Zeng, H Liao

15. Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information
Author(s): F Zhao, J Fan, H Liu, R Lan, C W Chen

16. Enhanced Predictor-Based Control Synthesis for Discrete-Time TS Fuzzy Descriptor Systems With Time-Varying Input Delays
Author(s): A Gonzalez, T-M Guerra

IEEE Transactions on Fuzzy Systems - Call for Papers

Special Issue on SMART FUZZY OPTIMIZATION IN OPERATIONAL RESEARCH AND RENEWABLE ENERGY: MODELLING, SIMULATION, AND APPLICATION

Deadline for Submissions 1.11.19

1. AIMS AND SCOPE
Over the last five decades fuzzy optimization have found numerous successful applications in diverse fields including operational research, manufacturing, information technology, energy optimization, data science and smart cities, big data analytics and the list goes on. Fuzzy optimization has strongly influenced research and development in other areas of intelligent computing leading to many hybrid and deep learning systems. It has opened up new horizons in thinking, research and development and it will certainly guide us into another half century of progress. Actually, fuzzy optimization is one kind of the approximation of nonlinear optimization techniques, which has basically formed some systematic but not unified theory of fuzzy systems and other fuzzy-sets based methodologies. Fuzzy Optimization and Decision Making is an interdisciplinary area focusing upon methodologies for extracting useful knowledge and experiences from data technology. Specific topics include fuzzy sets, rough sets, statistical methods, parallel/distributed data mining, hybrid fuzzy optimization such as hybrid evolutionary and swarm intelligence methods and human interaction, big data optimization, IoTs, flexibility, reliability and robustness, smart systems in specific domains, high-dimensional data, energy optimization and software engineering, data science, analytics, etc.

The high complexity of neural systems and the large number of constituents with an often unknown functional interconnections lead to significant computational challenges. An important consideration is the development of mathematical models incorporating the many influences of randomness, noise, uncertainty and fuzziness in both their static and time-dependent versions. The quality of prediction by a model highly depends on the integration of imprecise data and the quantification of uncertain structural parameters. A sophisticated analysis of the influence of all types of randomness, uncertainty and noise is indispensable for the development of reliable computational and neural models and programs.
Objective of this special issue is to explore latest modeling, simulation and fuzzy optimization, related with and renewable energy, electronics and electricity, and various related subjects. This offers a concentrative venue for researchers to make rapid exchange of ideas and innovative research findings in fuzzy optimization and Operational Research. In particular, new interdisciplinary approaches in fuzzy optimization applications, computer science and engineering applications, or strong conceptual foundations in newly evolving topics are especially welcomed. We invite researchers and experts worldwide to submit high-quality innovative research papers and critical review articles on the subsequent potential topics.

2. TOPICS COVERED
The topics include but are not limited to:

Energy optimization
  • Power supply reliability
  • Power systems
  • Hybrid renewable energy
  • Photovoltaic
  • Energy efficient
Operational research
  • System reliability
  • Combinatorial problems
  • Parameters optimization
  • Autonomous vehicle
  • Dynamic programming
Fuzzy modeling and simulation
  • Fuzzy cybercrime
  • Fuzzy visualization
  • Fuzzy detection
  • Fuzzy computing
  • Fuzzy regulation
  • Fuzzy vehicular networks
  • Fuzzy failure diagnosis
  • Non-Fuzzy approaches to uncertainty handling 
  • Comparison: Fuzzy vs. Non-Fuzzy approaches
Big Data Analytics and IoTs
  • Cloud computing
  • Territorial planning
  • Link prediction
  • Smart vehicles
  • Deep learning
  • Online social networks
  • Remote sensing                                                        
  • Sensor technologies                                                                                                                 
  • Electricity and commodity markets

3. SUBMISSION GUIDELINES
All authors should read ‘Information for Authors’ before submitting a manuscript:

http://cis.ieee.org/ieee-transactions-on-fuzzy-systems.html

Submissions should be through the IEEE TFS journal website:

http://mc.manuscriptcentral.com/tfs-ieee

It is essential that your manuscript is identified as a Special Issue contribution:
  • Ensure you choose ‘Special Issue’ when submitting.
  • A cover letter must be included which includes the title ‘Special Issue on Smart Fuzzy Optimization in Operational Research and Renewable Energy: Modelling, Simulation, and Applications’

4. IMPORTANT DATES

1 November 2019 Submission deadline

For guidance only:
January 2020            Notification of the first round review
April 2020                      Revised submission due
July 2020               Final notice of acceptance/reject


5. GUEST EDITORS

Prof. Dr. Gerhard-Wilhelm Weber
Poznan University of Technology, Poland
Email: gerhard.weber@put.poznan.pl                                                                                                                                      Affiliation:  IAM, METU, Ankara

Dr. Pandian Vasant
Universiti Teknologi PETRONAS, Malaysia
Email: pandian_m@utp.edu.my

Prof. Dr. Gilberto Perez Lechuga
Universidad Autonoma del Estado de Hidalgo, Mexico
Email: glechuga@uaeh.edu.mx

IEEE Transactions on Emerging Topics in Computational Intelligence - Open Access selected Paper for 2nd Quarter of 2019

IEEE Transactions on Emerging Topics in Computational Intelligence currently offers publication of its highlighted papers in Open Access for the duration of 3 months in order to assist authors gain maximum exposure for their groundbreaking research and application-oriented papers to all reader communities.

The second highlighted paper offered to make Open Access in TETCI is available now for the duration of 3 months starting from 1 April 2019.

We hope you will enjoy reading our second Open Access paper.

End-to-End Learning for Physics-Based Acoustic Modeling

Authors: Leonardo Gabrielli, Stefano Tomassetti, Carlo Zinato and Francesco Piazza
Publication: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Issue: Volume 2, Issue 2 – April 2018
Pages: 160-170

Abstract: In past years, physics-based acoustic modeling developed theoretically to the point of yielding accurate understanding and description of a large number of acoustic phenomena, such as those involved in sound generation. Numerical algorithms have been proposed that are able to simulate these phenomena in real time with an acceptable computational cost, indeed reaching the market with commercial products. Sound synthesis based on physical models could benefit greatly from automated methods that require less specific know-how and save the sound-designer valuable time. This paper introduces a novel approach to parameter estimation in physics-based sound synthesis that is general and obtains good results based on an end-to-end computational intelligence paradigm. The approach is presented in a formal way and application to a practical use case is reported. Methodological issues, such as dataset generation, are investigated.

Index Terms: Physics-based acoustic modeling, End-to-end learning, Convolutional neural networks

IEEE Xplore Link: https://ieeexplore.ieee.org/document/8323323

Available in Open Access from 1 April 2019 to 30 June 2019 in IEEE Xplore Digital Library.

Wednesday, 3 April 2019

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 4, April 2019.

1. Denoising Adversarial Autoencoders
Author(s):  Antonia Creswell; Anil Anthony Bharath
Pages: 968 - 984

2. A Novel Cluster Validity Index Based on Local Cores
Author(s):  Dongdong Cheng; Qingsheng Zhu; Jinlong Huang; Quanwang Wu; Lijun Yang
Pages: 985 - 999

3. Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations
Author(s):  Yonggang Chen; Zidong Wang; Bo Shen; Hongli Dong
Pages: 1000 - 1012

4. Semantically Modeling of Object and Context for Categorization
Author(s):  Chunjie Zhang; Jian Cheng; Qi Tian
Pages: 1013 - 1024

5. Exponential Synchronizationlike Criterion for State-Dependent Impulsive Dynamical Networks
Author(s):  Liangliang Li; Xin Wang; Chuandong Li; Yuming Feng
Pages: 1025 - 1033

6. Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection
Author(s):  Elise Epaillard; Nizar Bouguila
Pages: 1034 - 1047

7. Self-Organizing Neuroevolution for Solving Carpool Service Problem With Dynamic Capacity to Alternate Matches
Author(s):  Ming-Kai Jiau; Shih-Chia Huang
Pages: 1048 - 1060

8. Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis
Author(s):  Ping Li; Jiashi Feng; Xiaojie Jin; Luming Zhang; Xianghua Xu; Shuicheng Yan
Pages: 1061 - 1075

9. Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
Author(s):  Ben Niu; Ding Wang; Naif D. Alotaibi; Fuad E. Alsaadi
Pages: 1076 - 1087

10. Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine
Author(s):  Hualong Yu; Xibei Yang; Shang Zheng; Changyin Sun
Pages: 1088 - 1103

11. Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding
Author(s):  You-Lu Xing; Xiao-Feng Shi; Fu-Rao Shen; Jin-Xi Zhao; Jing-Xin Pan; Ah-Hwee Tan
Pages: 1104 - 1118

12. Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths
Author(s):  Dong Shen; Jian-Xin Xu
Pages: 1119 - 1132

13. Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
Author(s):  Xiaozhao Fang; Na Han; Wai Keung Wong; Shaohua Teng; Jigang Wu; Shengli Xie; Xuelong Li
Pages: 1133 - 1149

14. Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
Author(s):  Zengjie Song; Jiangshe Zhang; Guang Shi; Junmin Liu
Pages: 1150 - 1165

15. Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations
Author(s):  Cyril de Bodt; Dounia Mulders; Michel Verleysen; John Aldo Lee
Pages: 1166 - 1179

16. Domain Adaption via Feature Selection on Explicit Feature Map
Author(s):  Wan-Yu Deng; Amaury Lendasse; Yew-Soon Ong; Ivor Wai-Hung Tsang; Lin Chen; Qing-Hua Zheng
Pages: 1180 - 1190

17. Universal Approximation Capability of Broad Learning System and Its Structural Variations
Author(s):  C. L. Philip Chen; Zhulin Liu; Shuang Feng
Pages: 1191 - 1204

18. Dualityfree Methods for Stochastic Composition Optimization
Author(s):  Liu Liu; Ji Liu; Dacheng Tao
Pages: 1205 - 1217

19. Event-Based Line Fitting and Segment Detection Using a Neuromorphic Visual Sensor
Author(s):  David Reverter Valeiras; Xavier Clady; Sio-Hoi Ieng; Ryad Benosman
Pages: 1218 - 1230

20. SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification
Author(s):  Abeegithan Jeyasothy; Suresh Sundaram; Narasimhan Sundararajan
Pages: 1231 - 1240

21. Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics
Author(s):  Lu Liu; Dan Wang; Zhouhua Peng; C. L. Philip Chen; Tieshan Li
Pages: 1241 - 1249

22. Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data
Author(s):  Yi Yu; Suhua Tang; Kiyoharu Aizawa; Akiko Aizawa
Pages: 1250 - 1258

23. Markov Boundary-Based Outlier Mining
Author(s):  Kui Yu; Huanhuan Chen
Pages: 1259 - 1264

24. Spectral Embedded Adaptive Neighbors Clustering
Author(s):  Qi Wang; Zequn Qin; Feiping Nie; Xuelong Li
Pages: 1265 - 1271

25. Approximation of Ensemble Boundary Using Spectral Coefficients
Author(s):  T. Windeatt; C. Zor; N. C. Camgoz
Pages: 1272 - 1277

26. Developmental Resonance Network
Author(s):  Gyeong-Moon Park; Jae-Woo Choi; Jong-Hwan Kim
Pages: 1278 - 1284

Thursday, 14 March 2019

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.

Wednesday, 13 March 2019

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

Saturday, 2 March 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