IEEE Computational Intelligence Society

𝗜𝗘𝗘𝗘 𝗖𝗜𝗦 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 Fri, Nov 12, 2021 10:00 AM - 11:00 AM EST Registration: https://register.gotowebinar.com/register/3512292456264990224 Abstract: The below citation from J. Pearl’s works expresses the current trend in Computational Intelligence (CI) well: “Causal reasoning is an indispensable component of human thought that should be formalized ... toward achieving human-level machine intelligence”. Causal reasoning is, perhaps, the most advanced type of inference used in decision support systems. It currently amalgamates the evolution of inference which started with a rule-based reasoning and continued to the case-based and probabilistic reasoning. It has emerged from a Bayesian approach, and advanced to efficient representation such as Bayesian belief networks. Their role in multiple CI applications will be reviewed in this talk. Most recently, the much-developed area of pattern recognition, also known as machine learning, and its most advanced implementation, ‘deep learning’, have come to understanding of importance of ‘relations’ in pattern recognition, and even created the term ‘deep reasoning’. In this talk, we will focus on examples of causal reasoning for biometric-enabled decision support, and for the performance assessment of decision support systems. Biography: Dr. Svetlana Yanushkevich (SM IEEE 2004) is a full professor in the Department of Electrical & Software Engineering at Schulich School of Engineering (SSE), University of Calgary (UofC). She holds a Dr. Habilitated in Tech. Sci. (1999) from the Technical University of Warsaw, and joined the UofC in 2001. She is a founder of the Biometric Technologies Laboratory at the UofC. With her team in the Biometric Technologies Laboratory, she is developing novel decision support and risk assessment strategies based on machine reasoning, with applications to biometric-enabled access control and healthcare monitoring and diagnostics. She authored a monograph "Inverse Biometric Systems" (Taylor&Francis) and five other monographs and textbooks on the CI and digital design. She is also currently an Associate Dean, Equity, Diversity & Inclusion, and Research in the SSE at UofC.

Saturday, 2 October 2021

Start learning today! For IEEE Day 2021, the IEEE Learning Network (ILN) is offering 10 select courses at US $10 each. Get courses on #5G, #MachineLearning, #Blockchain, and more. See the courses today.

Start learning today! For IEEE Day 2021, the IEEE Learning Network (ILN) is offering 10 select courses at US $10 each. Get courses on #5G, #MachineLearning, #Blockchain, and more. See the courses today. #ContinuingEducation #IEEEDay21 #IEEELearn https://bit.ly/2XQlhDV

How can #technology professionals ensure that technology development and deployment have the best possible positive impact? Join #IEEETechEthics on #IEEE Day as we engage in conversation and Q&A with leading experts. Register free at bit.ly/TechEthicsOct21 #techethics #stewardship

How can #technology professionals ensure that technology development and deployment have the best possible positive impact? Join #IEEETechEthics on #IEEE Day as we engage in conversation and Q&A with leading experts. Register free at bit.ly/TechEthicsOct21 #techethics #stewardship

Want to know more about AI? Follow the topic on the all new IEEE Spectrum website https://bit.ly/3in1TWt

Save the date! Please join us Thursday, 07 October for a free live stream event! IEEE Member and TEDx Speaker, Muhammad Hamza Ihtisham, offers his insights on building relationships in the workplace.

Save the date! Please join us Thursday, 07 October for a free live stream event! IEEE Member and TEDx Speaker, Muhammad Hamza Ihtisham, offers his insights on building relationships in the workplace. In this session, Muhammad will share his professional experience by discussing: Relationships and their types Soft Skills Characteristics of an Effective Leader Effective Relationship Building Register here: https://engage.ieee.org/Effective-Relation-Building-as-a-Leader.html

Thursday, 30 September 2021

IEEE Transactions on Cognitive and Developmental Systems; Volume 13, Number 3, September 2021.

1. An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning

Author(s): Maxwell Hwang;Wei-Cheng Jiang;Yu-Jen Chen;Kao-Shing Hwang;Yi-Chia Tseng

Pages: 444 - 452

2. An Encoding Framework With Brain Inner State for Natural Image Identification

Author(s): Hao Wu;Ziyu Zhu;Jiayi Wang;Nanning Zheng;Badong Chen

Pages: 453 - 464

3. A Vector-Based Constrained Obstacle Avoidance Scheme for Wheeled Mobile Redundant Robot Manipulator

Author(s): Zhijun Zhang;Song Yang;Siyuan Chen;Yamei Luo;Hui Yang;Yu Liu

Pages: 465 - 474

4. Supervised Hyperalignment for Multisubject fMRI Data Alignment

Author(s): Muhammad Yousefnezhad;Alessandro Selvitella;Liangxiu Han;Daoqiang Zhang

Pages: 475 - 490

5. Attention-Based Video Hashing for Large-Scale Video Retrieval

Author(s): Yingxin Wang;Xiushan Nie;Yang Shi;Xin Zhou;Yilong Yin

Pages: 491 - 502

6. Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images

Author(s): Bing Wei;Kuangrong Hao;Lei Gao;Xue-Song Tang

Pages: 503 - 513

7. Deep Spiking Neural Networks With Binary Weights for Object Recognition

Author(s): Yixuan Wang;Yang Xu;Rui Yan;Huajin Tang

Pages: 514 - 523

8. Understanding the Role of Objects in Joint Attention Task Framework for Children With Autism

Author(s): Vishav Jyoti;Sanika Gupta;Uttama Lahiri

Pages: 524 - 534

9. An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature

Author(s): Zizhou Wang;Lei Zhang;Xin Shu;Qing Lv;Zhang Yi

Pages: 535 - 545

10. Neural Correlates of Interobserver Visual Congruency in Free-Viewing Condition

Author(s): Huan Liu;Xintao Hu;Yudan Ren;Liting Wang;Lei Guo;Christine Cong Guo;Junwei Han

Pages: 546 - 554

11. Deep Convolutional Network Based on Interleaved Fusion Group

Author(s): Enhui Lv;Yuhu Cheng;Xuesong Wang;C. L. Philip Chen

Pages: 555 - 565

12. Increase in Brain Effective Connectivity in Multitasking but not in a High-Fatigue State

Author(s): Tien-Thong Nguyen Do;Yu-Kai Wang;Chin-Teng Lin

Pages: 566 - 574

13. Detecting Fatigue Status of Pilots Based on Deep Learning Network Using EEG Signals

Author(s): Edmond Q. wu;Ping-Yu Deng;Xu-Yi Qiu;Zhiri Tang;Wen-Ming Zhang;Li-Min Zhu;He Ren;Gui-Rong Zhou;Richard S. F. Sheng

Pages: 575 - 585

14. The Growing From Adolescence to Adulthood Influences the Decision Strategy to Unfair Situations

Author(s): Yajing Si;Fali Li;Fang Li;Jingwei Tu;Chanlin Yi;Qin Tao;Xiabing Zhang;Changfu Pei;Shan Gao;Dezhong Yao;Peng Xu

Pages: 586 - 592

15. Spatiotemporal Dynamical Analysis of Brain Activity During Mental Fatigue Process

Author(s): Chi Zhang;Lina Sun;Fengyu Cong;Tapani Ristaniemi

Pages: 593 - 606

16. Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition

Author(s): Jianwei Zheng;Chao Lu;Cong Hao;Deming Chen;Donghui Guo

Pages: 607 - 620

17. Faster Single Model Vigilance Detection Based on Deep Learning

Author(s): Wei Wu;Wei Sun;Q. M. Jonathan Wu;Cheng Zhang;Yimin Yang;Hongshan Yu;Bao-Liang Lu

Pages: 621 - 630

18. CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis

Author(s): Yi Lu;Yaran Chen;Dongbin Zhao;Bao Liu;Zhichao Lai;Jianxin Chen

Pages: 631 - 644

19. A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors

Author(s): Zhiri Tang;Ruohua Zhu;Ruihan Hu;Yanhua Chen;Edmond Q. Wu;Hao Wang;Jin He;Qijun Huang;Sheng Chang

Pages: 645 - 656

20. A Real-Time Multifunctional Framework for Guidewire Morphological and Positional Analysis in Interventional X-Ray Fluoroscopy

Author(s): Yan-Jie Zhou;Xiao-Liang Xie;Xiao-Hu Zhou;Shi-Qi Liu;Gui-Bin Bian;Zeng-Guang Hou

Pages: 657 - 667

21. Driving Fatigue Recognition With Functional Connectivity Based on Phase Synchronization

Author(s): Hongtao Wang;Xucheng Liu;Junhua Li;Tao Xu;Anastasios Bezerianos;Yu Sun;Feng Wan

Pages: 668 - 678

22. Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media

Author(s): Fatma S. Abousaleh;Wen-Huang Cheng;Neng-Hao Yu;Yu Tsao

Pages: 679 - 692

23. Deep Echo State Network With Multiple Adaptive Reservoirs for Time Series Prediction

Author(s): Zhanshan Wang;Xianshuang Yao;Zhanjun Huang;Lei Liu

Pages: 693 - 704

24. Deep Multibranch Fusion Residual Network for Insect Pest Recognition

Author(s): Wenjie Liu;Guoqing Wu;Fuji Ren

Pages: 705 - 716

25. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems

Author(s): Katharina J. Rohlfing;Philipp Cimiano;Ingrid Scharlau;Tobias Matzner;Heike M. Buhl;Hendrik Buschmeier;Elena Esposito;Angela Grimminger;Barbara Hammer;Reinhold Häb-Umbach;Ilona Horwath;Eyke Hüllermeier;Friederike Kern;Stefan Kopp;Kirsten Thommes;Axel-Cyrille Ngonga Ngomo;Carsten Schulte;Henning Wachsmuth;Petra Wagner;Britta Wrede

Pages: 717 - 728