IEEE Transactions on Cognitive and Developmental Systems; Volume 13, Number 4, December 2021

1. A Survey on Neuromarketing Using EEG Signals

Author(s): Vaishali Khurana;Monika Gahalawat;Pradeep Kumar;Partha Pratim Roy;Debi Prosad Dogra;Erik Scheme;Mohammad Soleymani

Pages: 732 - 749

2. Morphological Development in Robotic Learning: A Survey

Author(s): Martín Naya-Varela;Andrés Faíña;Richard J. Duro

Pages: 750 - 768

3. Constructing EEG Large-Scale Cortical Functional Network Connectivity Based on Brain Atlas by S Estimator

Author(s): Chanlin Yi;Chunli Chen;Lin Jiang;Qin Tao;Fali Li;Yajing Si;Tao Zhang;Dezhong Yao;Peng Xu

Pages: 769 - 778

4. Semiautomatic Behavioral Change-Point Detection: A Case Study Analyzing Children Interactions With a Social Agent

Author(s): Vito Monteleone;Liliana Lo Presti;Marco La Cascia;Soizic Gauthier;Jean Xavier;Mohamed Zaoui;Alain Berthoz;David Cohen;Mohamed Chetouani;Salvatore Maria Anzalone

Pages: 779 - 790

5. Robot Navigation in Unseen Spaces Using an Abstract Map

Author(s): Ben Talbot;Feras Dayoub;Peter Corke;Gordon Wyeth

Pages: 791 - 805

6. Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies

Author(s): Xinghua Qu;Zhu Sun;Yew-Soon Ong;Abhishek Gupta;Pengfei Wei

Pages: 806 - 817

7. Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation

Author(s): Ataollah Ramezan Shirazi;Yaochu Jin

Pages: 818 - 826

8. Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning “What” and “Where”

Author(s): Haibao Wang;Lijie Huang;Changde Du;Dan Li;Bo Wang;Huiguang He

Pages: 827 - 840

9. Deep Variational Autoencoder for Mapping Functional Brain Networks

Author(s): Ning Qiang;Qinglin Dong;Fangfei Ge;Hongtao Liang;Bao Ge;Shu Zhang;Yifei Sun;Jie Gao;Tianming Liu

Pages: 841 - 852

10. Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model

Author(s): Flora Ferreira;Weronika Wojtak;Emanuel Sousa;Luís Louro;Estela Bicho;Wolfram Erlhagen

Pages: 853 - 864

11. Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask

Author(s): Yong Wu;Kun Zhang;Di Wu;Chao Wang;Chang-An Yuan;Xiao Qin;Tao Zhu;Yu-Chuan Du;Han-Li Wang;De-Shuang Huang

Pages: 865 - 874

12. Automatic Assessment for Severe Self-Reported Depressive Symptoms Using Speech Cues

Author(s): Jinfang Wang;Ke Lv;Chang Liu;Xinli Nie;Dhananjaya Gowda;Shuxin Luan

Pages: 875 - 884

13. EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks

Author(s): Dongdong Li;Bing Chai;Zhe Wang;Hai Yang;Wenli Du

Pages: 885 - 897

14. Identity–Expression Dual Branch Network for Facial Expression Recognition

Author(s): Haifeng Zhang;Wen Su;Jun Yu;Zengfu Wang

Pages: 898 - 911

15. VRDriving: A Virtual-to-Real Autonomous Driving Framework Based on Adversarial Learning

Author(s): Wei Yuan;Ming Yang;Chunxiang Wang;Bing Wang

Pages: 912 - 921

16. Modeling Multiple Language Learning in a Developmental Cognitive Architecture

Author(s): Ioanna Giorgi;Bruno Golosio;Massimo Esposito;Angelo Cangelosi;Giovanni L. Masala

Pages: 922 - 933

17. Tutor-Guided Interior Navigation With Deep Reinforcement Learning

Author(s): Fanyu Zeng;Chen Wang;Shuzhi Sam Ge

Pages: 934 - 944

18. A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition

Author(s): Zhongke Gao;Xinmin Wang;Yuxuan Yang;Yanli Li;Kai Ma;Guanrong Chen

Pages: 945 - 954

19. Hierarchy Graph Convolution Network and Tree Classification for Epileptic Detection on Electroencephalography Signals

Author(s): Difei Zeng;Kejie Huang;Cenglin Xu;Haibin Shen;Zhong Chen

Pages: 955 - 968

20. Color Facial Expression Recognition by Quaternion Convolutional Neural Network With Gabor Attention

Author(s): Yu Zhou;Lianghai Jin;Hong Liu;Enmin Song

Pages: 969 - 983

21. A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation

Author(s): Rung-Yu Tseng;Tao-Wei Wang;Szu-Wei Fu;Chia-Ying Lee;Yu Tsao

Pages: 984 - 994

22. OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video

Author(s): Tianhao Gu;Zhe Wang;Dongdong Li;Hai Yang;Wenli Du;Yangming Zhou

Pages: 995 - 1009

23. Discrete Interactions in Decentralized Multiagent Coordination: A Probabilistic Perspective

Author(s): Ming Liu;Weiling Chang;Chao Li;Yuchun Ji;Ruiguang Li;Minyu Feng

Pages: 1010 - 1022

24. Off-Policy Deep Reinforcement Learning Based on Steffensen Value Iteration

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

Pages: 1023 - 1032

Weekly Review 17 December 2021

Some interesting links that I Tweeted about this week:

1) The computational demands of AI continue to outstrip processing power: https://spectrum.ieee.org/ai-training-mlperf

2) Using AI to play Pokemon: https://www.theverge.com/2021/12/2/22811849/pokemon-competitive-ai-nintendo-game-freak Is this really AI, or just a brute-forcing of options?

3)A list of popular libraries for Machine Learning: https://www.datasciencecentral.com/profiles/blogs/a-hand-picked-list-of-top-python-frameworks-and-libraries-for I've been using sklearn to teach my #AI class.

4) Managing long COVID with AI https://dataconomy.com/2021/12/how-artificial-intelligence-long-covid/

5) How to have trust in AI, when most AI is biased: https://www.techrepublic.com/article/how-much-can-we-trust-ai-how-to-build-confidence-before-large-scale-deployment/

6) Best practices for implementing Natural Language Processing. Good principles for most #AI applications, actually: https://www.informationweek.com/big-data/6-best-practices-for-nlp-implementation

7) Tips and code for time-series forecasting: https://www.kdnuggets.com/2021/12/avoid-mistakes-time-series-forecasting.html

8) Bad AI models are bad for business: https://www.datanami.com/2021/11/29/youve-been-warned-bad-data-models-are-capable-of-destroying-companies/

9) More moves to increase the accountability of using AI https://arstechnica.com/tech-policy/2021/12/the-movement-to-hold-ai-accountable-gains-more-steam/

10) Protein folding prediction is a hard problem. If AlphaFold has solved it, that's a major breakthrough: https://www.technologyreview.com/2021/07/22/1029973/deepmind-alphafold-protein-folding-biology-disease-drugs-proteome/

11) Most of the research outputs from universities a built on work done by PhD students. With the part-time job losses from the pandemic, either PhD stipends increase, or research outputs are going to suffer: https://www.odt.co.nz/opinion/phd-stipend-must-keep-living-costs

12) Biased data leads to biased models. When we used biased data sets, we get biases results. Why is this hard for people to grasp? https://www.technologyreview.com/2021/04/01/1021619/ai-data-errors-warp-machine-learning-progress/

13) Machine Learning engineers are now more important that data scientists: https://www.kdnuggets.com/2021/11/why-machine-learning-engineers-are-replacing-data-scientists.html

14) A German case, but with more and more people expected to keep working from home after the pandemic, such cases will probably become more common: https://www.theregister.com/2021/12/10/bed_to_desk_workplace_accident/

15) A look at the first computer-composed music: https://www.theguardian.com/music/2021/dec/07/he-touched-a-nerve-how-the-first-piece-of-ai-music-was-born-in-1956

Weekly Review 3 December 2021

1) This article assumes that education is the only reason to record a lecture. There are other reasons that are just are compelling: https://www.insidehighered.com/views/2021/11/12/colleges-shouldnt-require-faculty-record-their-lectures-opinion

2) I wrote several web applications in PHP, a long time ago. Now for scripting I use Python: https://www.datasciencecentral.com/profiles/blogs/is-php-interpreter-still-a-good-programming-language

3) Rolling-out AI from prototype to production: https://www.kdnuggets.com/2021/11/accelerating-ai-mlops.html

4) Interview with the CEO of SambaNova, an AI as a service company: https://spectrum.ieee.org/sambanova-ceo-ai-interview

5) Although not exclusive to these regions, East and South Asia are both places where AI will be adopted for companionship and counselling: https://www.datasciencecentral.com/profiles/blogs/will-ai-offer-human-companionship-and-mental-health-benefits

6) Geoffrey Hinton says that Deep Learning will eventually be able to do everything: https://www.technologyreview.com/2020/11/03/1011616/ai-godfather-geoffrey-hinton-deep-learning-will-do-everything/ 

7) On the need for AI in network and cyber security: https://www.networkcomputing.com/network-security/why-modern-cybersecurity-requires-ai

8) Switching from digital to analog architectures will drastically cut the energy demands for Deep Learning https://spectrum.ieee.org/analog-ai

9) A tool that uses AI to automate the response to formulaic emails: https://techcrunch.com/2021/11/26/flowrite-seed/

10) I've always been struck by how hard certain seemingly simple tasks are to perform in SQL: https://www.kdnuggets.com/2021/11/common-sql-mistakes-data-science-interviews.html

11) The fastest supercomputers for #AI: https://spectrum.ieee.org/ai-supercomputer

IEEE Transactions on Evolutionary Computation, Volume 25, Issue 6, December 2021

1) A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization

Author(s): Zhenshou Song; Handing Wang; Cheng He; Yaochu Jin

Pages: 1013 - 1027

2) A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms

Author(s): Linjun He; Hisao Ishibuchi; Anupam Trivedi; Handing Wang; Yang Nan; Dipti Srinivasan

Pages: 1028 - 1048

3) Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data

Author(s): Baligh Al-Helali; Qi Chen; Bing Xue; Mengjie Zhang

Pages: 1049 - 1063

4) Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization

Author(s): Wenhua Li; Tao Zhang; Rui Wang; Hisao Ishibuchi

Pages: 1064 - 1078

5) Autoencoding With a Classifier System

Author(s): Richard J. Preen; Stewart W. Wilson; Larry Bull

Pages: 1079 - 1090

6) Identifying Influential Spreaders in Social Networks Through Discrete Moth-Flame Optimization

Author(s): Lu Wang; Lei Ma; Chao Wang; Neng-Gang Xie; Jin Ming Koh; Kang Hao Cheong

Pages: 1091 - 1102

7) Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization

Author(s): Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray

Pages: 1103 - 1117

8) Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks

Author(s): Damien O’Neill; Bing Xue; Mengjie Zhang

Pages: 1118 - 1132

9) Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems

Author(s): Ran Wang; Zichao Zhang

Pages: 1133 - 1147

10) A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification

Author(s): Ying Bi; Bing Xue; Mengjie Zhang

Pages: 1148 - 1162

11) Statistical Models for the Analysis of Optimization Algorithms With Benchmark Functions

Author(s): David Issa Mattos; Jan Bosch; Helena Holmström Olsson

Pages: 1163 - 1177

IEEE Transactions on Fuzzy Systems, Volume 29, Issue 10

1) Stability and Stabilization of T–S Fuzzy Time-Delay System via Relaxed Integral Inequality and Dynamic Delay Partition

Author(s): Gang Wang; Liang Jia; Huaguang Zhang

Pages: 2829 - 2843

2) Three-Way Multiattribute Decision-Making Based on Outranking Relations

Author(s): Jianming Zhan; Haibo Jiang; Yiyu Yao

Pages: 2844 - 2858

3) Fuzzy FDI System for Flyback Converters

Author(s): Juan Jesús Silva-Romero; Adriana del Carmen Téllez-Anguiano; Juan Anzurez-Marín; Ricardo Fabricio Escobar-Jiménez; Mario Heras-Cervantes

Pages: 2859 - 2868

4) A Novel Fuzzy Output Feedback Dynamic Sliding Mode Controller Design for Two-Dimensional Nonlinear Systems

Author(s): Jianbin Qiu; Wenqiang Ji; Mohammed Chadli

Pages: 2869 - 2877

5) Fuzzy Adaptive Containment Control for Nonlinear Nonaffine Pure-Feedback Multiagent Systems

Author(s): Faxiang Zhang; Yang-Yang Chen

Pages: 2878 - 2889

6) Novel Regularization for Learning the Fuzzy Choquet Integral With Limited Training Data

Author(s): Siva Krishna Kakula; Anthony J. Pinar; Muhammad Aminul Islam; Derek T. Anderson; Timothy C. Havens

Pages: 2890 - 2901

7) Sliding Mode Control of Markovian Jump Fuzzy Systems: A Dynamic Event-Triggered Method

Author(s): Zhiru Cao; Yugang Niu; Hak-Keung Lam; Jiancong Zhao

Pages: 2902 - 2915

8) Fuzzy-Approximation-Based Distributed Fault-Tolerant Consensus for Heterogeneous Switched Nonlinear Multiagent Systems

Author(s): Wencheng Zou; Choon Ki Ahn; Zhengrong Xiang

Pages: 2916 - 2925

9) An Improved Fuzzy Event-Triggered Asynchronous Dissipative Control to T–S FMJSs With Nonperiodic Sampled Data

Author(s): Xin Wang; Ju H. Park; Huilan Yang; Shouming Zhong

Pages: 2926 - 2937

10) A Unified Framework for Asymptotic Observer Design of Fuzzy Systems With Unmeasurable Premise Variables

Author(s): Juntao Pan; Anh-Tu Nguyen; Thierry-Marie Guerra; Dalil Ichalal

Pages: 2938 - 2948

11) Event-Triggered Fuzzy Flight Control of a Two-Degree-of-Freedom Helicopter System

Author(s): He Zhang; Jun Liu

Pages: 2949 - 2962

12) On the Accuracy–Complexity Tradeoff of Fuzzy Broad Learning System

Author(s): Shuang Feng; C. L. Philip Chen; Lili Xu; Zhulin Liu

Pages: 2963 - 2974

13) Information Granules-Based BP Neural Network for Long-Term Prediction of Time Series

Author(s): Weina Wang; Wanquan Liu; Hui Chen

Pages: 2975 - 2987

14) Characterizations of Fuzzy Implications Generated by Continuous Multiplicative Generators of T-Norms

Author(s): Hongjun Zhou

Pages: 2988 - 3002

15) Event-Based Adaptive Fuzzy Asymptotic Tracking Control of Uncertain Nonlinear Systems

Author(s): Yuan-Xin Li; Xiaoyan Hu; Weiwei Che; Zhongsheng Hou

Pages: 3003 - 3013

16) Olfactory-Based Navigation via Model-Based Reinforcement Learning and Fuzzy Inference Methods

Author(s): Lingxiao Wang; Shuo Pang; Jinlong Li

Pages: 3014 - 3027

17) Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks

Author(s): Pei-Yi Hao

Pages: 3028 - 3042

18) Fault-Tolerant Fuzzy Control for Semi-Markov Jump Nonlinear Systems Subject to Incomplete SMK and Actuator Failures

Author(s): Hao Shen; Mingcheng Dai; Yiping Luo; Jinde Cao; Mohammed Chadli

Pages: 3043 - 3053

19) Sampled-Data Fuzzy Control for Nonlinear Delayed Distributed Parameter Systems

Author(s): Zi-Peng Wang; Huai-Ning Wu; Tingwen Huang

Pages: 3054 - 3066

20) Fuzzy Double Hidden Layer Recurrent Neural Terminal Sliding Mode Control of Single-Phase Active Power Filter

Author(s): Juntao Fei; Yun Chen

Pages: 3067 - 3081

21) H∞ Synchronization for Fuzzy Markov Jump Chaotic Systems With Piecewise-Constant Transition Probabilities Subject to PDT Switching Rule

Author(s): Jing Wang; Jianwei Xia; Hao Shen; Mengping Xing; Ju H. Park

Pages: 3082 - 3092

22) Continuous Fuzzy Transform as Integral Operator

Author(s): Giuseppe Patané

Pages: 3093 - 3102

23) Kernelized Mahalanobis Distance for Fuzzy Clustering

Author(s): Shan Zeng; Xiuying Wang; Xiangjun Duan; Sen Zeng; Zuyin Xiao; David Feng

Pages: 3103 - 3117

24) Memory-Based Continuous Event-Triggered Control for Networked T–S Fuzzy Systems Against Cyberattacks

Author(s): Zhou Gu; Peng Shi; Dong Yue; Shen Yan; Xiangpeng Xie

Pages: 3118 - 3129

25) Decentralized Adaptive Fuzzy Tracking Control for a Class of Nonlinear Uncertain Interconnected Systems With Multiple Faults and Denial-of-Service Attack

Author(s): Xiaoyan Jiang; Xiaowu Mu; Zenghui Hu

Pages: 3130 - 3141

26) Adaptive Fuzzy Nonsingular Fixed-Time Control for Nonstrict-Feedback Constrained Nonlinear Multiagent Systems With Input Saturation

Author(s): Haijiao Yang; Dan Ye

Pages: 3142 - 3153

27) Global Mittag-Leffler Boundedness of Fractional-Order Fuzzy Quaternion-Valued Neural Networks With Linear Threshold Neurons

Author(s): Jigui Jian; Kai Wu; Baoxian Wang

Pages: 3154 - 3164

28) Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach

Author(s): Saravanan Alagarsamy; Yu-Dong Zhang; Vishnuvarthanan Govindaraj; Murugan Pallikonda Rajasekaran; Sakthivel Sankaran

Pages: 3165 - 3177

29) On r⃗ -(Quasi-)Overlap Functions

Author(s): Junsheng Qiao; Zengtai Gong

Pages: 3178 - 3185

30) Adaptive Fuzzy Decentralized Tracking Control for Large-Scale Interconnected Nonlinear Networked Control Systems

Author(s): Min Ma; Tong Wang; Jianbin Qiu; Hamid Reza Karimi

Pages: 3186 - 3191

31) Admissibility Analysis and Robust H∞ Control for T–S Fuzzy Descriptor Systems With Structured Parametric Uncertainties

Author(s): Jiabao He; Feng Xu; Xueqian Wang; Bin Liang

Pages: 3192 - 3200

32) Comments on “Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach”

Author(s): Souhail Tiko; Fouad Mesquine

Pages: 3201 - 3203

Weekly Review 26 November 2021

Some interesting links that I Tweeted about this week:

1) 20+ years ago my PhD stipend needed to be supplemented by tutoring. Living on a PhD stipend now would be almost impossible: https://www.stuff.co.nz/national/education/127015167/its-a-disgrace-phd-students-struggling-on-less-than-minimum-wage

2) A better question would be, how can you regulate AI when nobody can agree on what it is? https://www.techrepublic.com/article/policymakers-want-to-regulate-ai-but-lack-consensus-on-how/

3) The languages that are more commonly used for Data Science and Machine Learning: https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html

4) Deploying AI in healthcare call centres: https://www.techrepublic.com/article/how-ai-and-nlp-are-helping-healthcare-call-centers-to-be-more-efficient/

5) Personally, I'm quite happy and more productive working remotely in higher education, but I can see how other people would struggle with it: https://www.insidehighered.com/blogs/learning-innovation/5-reasons-why-i%E2%80%99m-struggling-working-virtually

6) The world's biggest military issues ethics guidelines for AI: https://www.technologyreview.com/2021/11/16/1040190/department-of-defense-government-ai-ethics-military-project-maven/ This is not going to end well.

7) The difference between distributed and federated learning: https://www.kdnuggets.com/2021/11/difference-distributed-learning-federated-learning-algorithms.html

8) How to improve online teaching: https://www.insidehighered.com/blogs/higher-ed-gamma/8-ways-improve-your-online-course

9) How the gambling industry is using AI to improve their own odds: https://www.techrepublic.com/article/how-machine-learning-is-skewing-the-odds-in-online-gambling/ Who was it said that gambling is a tax on people who are bad at maths?

10) Detecting driver impairment using AI: https://spectrum.ieee.org/driver-assistance-package

11) I used to get up at 4:30 a.m. to take my daughter to her swimming training sessions, then spend a full day at work-the lack of rest was not particularly pleasant: https://www.stuff.co.nz/national/health/127006684/while-we-were-sleeping-meet-nzs-early-birds-the-people-getting-up-hours-before-you

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 5, Issue 6, December 2021

1) Deep COLA: A Deep COmpetitive Learning Algorithm for Future Home Energy Management Systems

Author(s): Ghulam Mohi-Ud-Din;Angelos K. Marnerides;Qi Shi;Chelsea Dobbins;Aine MacDermott

Pages: 860 - 870

2) Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones

Author(s): Lin Wang;Andrea Cavallaro

Pages: 871 - 881

3) Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes

Author(s): Paul Fergus;Carl Chalmers;Casimiro Curbelo Montanez;Denis Reilly;Paulo Lisboa;Beth Pineles

Pages: 882 - 892

4) D-FRI-Honeypot: A Secure Sting Operation for Hacking the Hackers Using Dynamic Fuzzy Rule Interpolation

Author(s): Nitin Naik;Changjing Shang;Paul Jenkins;Qiang Shen

Pages: 893 - 907

5) A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data

Author(s): Preeti Jha;Aruna Tiwari;Neha Bharill;Milind Ratnaparkhe;Mukkamalla Mounika;Neha Nagendra

Pages: 908 - 919

6) Reconstructing Heterogeneous Networks via Compressive Sensing and Clustering

Author(s): Yichi Zhang;Chunhua Yang;Keke Huang;Marko Jusup;Zhen Wang;Xuelong Li

Pages: 920 - 930

7) Dynamic Node Embeddings From Edge Streams

Author(s): John Boaz Lee;Giang Nguyen;Ryan A. Rossi;Nesreen K. Ahmed;Eunyee Koh;Sungchul Kim

Pages: 931 - 946

8) A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling

Author(s): Jing-jing Wang;Ling Wang

Pages: 947 - 961

9) A Novel Supervised Control Strategy for Interconnected DFIG-Based Wind Turbine Systems: MiL Validations

Author(s): Hooman Mohammadi Moghadam;Meysam Gheisarnejad;Zahra Esfahani;Mohammad-Hassan Khooban

Pages: 962 - 971

IEEE Transactions on Neural Networks and Learning Systems, Volume 32, Issue 10, October 2021

1) PM2.5 Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

Author(s): Ke Gu; Hongyan Liu; Zhifang Xia; Junfei Qiao; Weisi Lin; Daniel Thalmann

Pages: 4278 - 4290

2) Attention in Natural Language Processing

Author(s): Andrea Galassi; Marco Lippi; Paolo Torroni

Pages: 4291 - 4308

3) Open Set Domain Adaptation: Theoretical Bound and Algorithm

Author(s): Zhen Fang; Jie Lu; Feng Liu; Junyu Xuan; Guangquan Zhang

Pages: 4309 - 4322

4) Distributed Min–Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification

Author(s): Krishnan Raghavan; Shweta Garg; Sarangapani Jagannathan; V. A. Samaranayake

Pages: 4323 - 4333

5) Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales

Author(s): Wenqian Xue; Jialu Fan; Victor G. Lopez; Yi Jiang; Tianyou Chai; Frank L. Lewis

Pages: 4334 - 4346

6) Adaptive Developmental Resonance Network

Author(s): Gyeong-Moon Park; Jong-Hwan Kim

Pages: 4347 - 4361

7) Rich Visual Knowledge-Based Augmentation Network for Visual Question Answering

Author(s): Liyang Zhang; Shuaicheng Liu; Donghao Liu; Pengpeng Zeng; Xiangpeng Li; Jingkuan Song; Lianli Gao

Pages: 4362 - 4373

8) Accelerated Proximal Subsampled Newton Method

Author(s): Haishan Ye; Luo Luo; Zhihua Zhang

Pages: 4374 - 4388

9) Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

Author(s): Haoran You; Yu Cheng; Tianheng Cheng; Chunliang Li; Pan Zhou

Pages: 4389 - 4403

10) Analogy-Detail Networks for Object Recognition

Author(s): Xiaoyu Tao; Xiaopeng Hong; Weiwei Shi; Xinyuan Chang; Yihong Gong

Pages: 4404 - 4418

11) An Effective Hybrid Learning Model for Real-Time Event Summarization

Author(s): Min Yang; Qiang Qu; Ying Shen; Zhou Zhao; Xiaojun Chen; Chengming Li

Pages: 4419 - 4431

12) Synchronous Fault-Tolerant Near-Optimal Control for Discrete-Time Nonlinear PE Game

Author(s): Yuan Yuan; Peng Zhang; Xuelong Li

Pages: 4432 - 4444

13) Online Learning With Adaptive Rebalancing in Nonstationary Environments

Author(s): Kleanthis Malialis; Christos G. Panayiotou; Marios M. Polycarpou

Pages: 4445 - 4459

14) IAUnet: Global Context-Aware Feature Learning for Person Reidentification

Author(s): Ruibing Hou; Bingpeng Ma; Hong Chang; Xinqian Gu; Shiguang Shan; Xilin Chen

Pages: 4460 - 4474

15) Antidecay LSTM for Siamese Tracking With Adversarial Learning

Author(s): Fei Zhao; Ting Zhang; Yi Wu; Ming Tang; Jinqiao Wang

Pages: 4475 - 4489

16) Terminal Sliding Mode Control of MEMS Gyroscopes With Finite-Time Learning

Author(s): Yuyan Guo; Bin Xu; Rui Zhang

Pages: 4490 - 4498

17) EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression

Author(s): Xiaofeng Ruan; Yufan Liu; Chunfeng Yuan; Bing Li; Weiming Hu; Yangxi Li; Stephen Maybank

Pages: 4499 - 4513

18) Inductive Structure Consistent Hashing via Flexible Semantic Calibration

Author(s): Zheng Zhang; Luyao Liu; Yadan Luo; Zi Huang; Fumin Shen; Heng Tao Shen; Guangming Lu

Pages: 4514 - 4528

19) An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy

Author(s): Jian Lou; Yiu-ming Cheung

Pages: 4529 - 4543

20) Optimal Impulsive Control Using Adaptive Dynamic Programming and its Application in Spacecraft Rendezvous

Author(s): Ali Heydari

Pages: 4544 - 4552

21) Robot Motor Skill Transfer With Alternate Learning in Two Spaces

Author(s): Jian Fu; Xiang Teng; Ce Cao; Zhaojie Ju; Ping Lou

Pages: 4553 - 4564

22) Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks

Author(s): Kai-Fung Chu; Albert Y. S. Lam; Chenchen Fan; Victor O. K. Li

Pages: 4565 - 4576

23) Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning

Author(s): Wanbing Zhao; Hao Liu; Frank L. Lewis

Pages: 4577 - 4587

24) Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization

Author(s): Damith A. Senanayake; Wei Wang; Shalin H. Naik; Saman Halgamuge

Pages: 4588 - 4602

25) Modeling and Control of Hybrid 3-D Gaits of Snake-Like Robots

Author(s): Zhengcai Cao; Dong Zhang; MengChu Zhou

Pages: 4603 - 4612

26) Nonergodic Complexity of Proximal Inertial Gradient Descents

Author(s): Tao Sun; Linbo Qiao; Dongsheng Li

Pages: 4613 - 4626

27) A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai–Borwein Stepsizes

Author(s): Tengteng Yu; Xin-Wei Liu; Yu-Hong Dai; Jie Sun

Pages: 4627 - 4638

28) Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks

Author(s): Zhen Zhang; Dongqing Wang; Junwei Gao

Pages: 4639 - 4652

29) Bearing-Based Adaptive Neural Formation Scaling Control for Autonomous Surface Vehicles With Uncertainties and Input Saturation

Author(s): Yu Lu; Changyun Wen; Tielong Shen; Weidong Zhang

Pages: 4653 - 4664

30) Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series

Author(s): Qingxiong Tan; Mang Ye; Andy Jinhua Ma; Baoyao Yang; Terry Cheuk-Fung Yip; Grace Lai-Hung Wong; Pong C. Yuen

Pages: 4665 - 4679

31) Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features

Author(s): Qian Gao; Zhifang Yang; Juan Yu; Wei Dai; Xingyu Lei; Bo Tang; Kaigui Xie; Wenyuan Li

Pages: 4680 - 4690

32) Feature Interaction for Streaming Feature Selection

Author(s): Peng Zhou; Peipei Li; Shu Zhao; Xindong Wu

Pages: 4691 - 4702

33) Neural-Network-Based Adaptive DSC Design for Switched Fractional-Order Nonlinear Systems

Author(s): Shuai Sui; C. L. Philip Chen; Shaocheng Tong

Pages: 4703 - 4712

34) Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning

Author(s): Mahdi Khodayar; Guangyi Liu; Jianhui Wang; Okyay Kaynak; Mohammad E. Khodayar

Pages: 4713 - 4727

35) Synaptic Weight Evolution and Charge Trapping Mechanisms in a Synaptic Pass-Transistor Operation With a Direct Potential Output

Author(s): Yeonsu Kang; Jiung Jang; Danyoung Cha; Sungsik Lee

Pages: 4728 - 4741

36) Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition

Author(s): Wanping Zhang; Yongru Chen; Wenming Yang; Guijin Wang; Jing-Hao Xue; Qingmin Liao

Pages: 4742 - 4747

37) Gated Value Network for Multilabel Classification

Author(s): Yimin Hou; Sen Wan; Feng Bao; Zhiquan Ren; Yunfeng Dong; Qionghai Dai; Yue Deng

Pages: 4748 - 4754

38) Adaptive Propagation Graph Convolutional Network

Author(s): Indro Spinelli; Simone Scardapane; Aurelio Uncini

Pages: 4755 - 4760

39) Event-Driven Synchronization of Switched Complex Networks: A Reachable-Set-Based Design

Author(s): Hong Sang; Jun Zhao

Pages: 4761 - 4768

Weekly Review 19 November 2021

1) Some quotes from experts on the current state of AI: https://spectrum.ieee.org/artificial-intelligence-quotes/particle-30

2) When even the news from New Zealand's national broadcaster regularly mangles grammer, misuses phrases and displays a shocking ignorance of mathematics, I will say yes, spelling and maths does matter in the workplace: https://www.stuff.co.nz/business/opinion-analysis/300445266/spelling-and-maths-still-matter-in-the-workplace

3) Who needs Deep Learning to predict when it's going to rain? Just ask me when I plan to mow my lawn: https://www.technologyreview.com/2021/09/29/1036331/deepminds-ai-predicts-almost-exactly-when-and-where-its-going-to-rain/

4) Preventing wild fires by using AI to analyse drone images of power lines: https://spectrum.ieee.org/smokey-the-ai

5) I wanted to post this earlier, but didn't get around to it: https://www.stuff.co.nz/national/education/126970363/new-research-identifies-key-to-discouraging-procrastination

6) The role of quantum computing in Machine Learning: https://www.datanami.com/2021/11/11/is-quantum-computing-the-future-of-ai/

7) Using Deep Learning to translate accents: https://spectrum.ieee.org/ai-accent-translator

8) How to psychologically deal with the uncertainty of the pandemic: https://www.stuff.co.nz/business/prosper/advice/126899194/covid19-tips-to-buffer-uncertainty-by-looking-after-our-minds

9) Some common misconceptions about working in Machine Learning: https://www.kdnuggets.com/2021/11/common-misconception-about-machine-learning.html

10) Predictions of what will happen with AI in 2022: https://www.informationweek.com/ai-or-machine-learning/ai-automation-predictions-for-2022-more-big-changes-ahead

11) Opportunities for AI in social media: https://www.datasciencecentral.com/profiles/blogs/the-impact-of-ai-on-social-media-marketing

12) Chatbots are becoming more and more widely used: https://www.stuff.co.nz/business/126792173/the-rise-of-chatbots-more-people-than-ever-are-talking-to-robots-instead-of-humans-for-basic-services

13) Python is now the top programming language: https://www.techrepublic.com/article/python-ends-c-and-javas-20-year-reign-atop-the-tiobe-index/

14) No, AI is not going to put everyone out of work: https://www.informationweek.com/ai-or-machine-learning/ai-has-an-image-problem-and-that-s-not-fair

15) The role of AI in procurement: https://dataconomy.com/2021/10/how-procurement-team-ready-ai/

IEEE Transactions on Artificial Intelligence, Volume 2, Number 5, October 2021

1) Guest Editorial: Special Issue on Artificial Intelligence for Robotics

Author(s): Wei He; Zhijun Li; Erdal Kayacan; Catherine Huang; Michael V. Basin

Pages: 382 - 383

2) Graph-Based Knowledge Acquisition With Convolutional Networks for Distribution Network Patrol Robots

Author(s): Dapeng Yan; Hui Cao; Tao Wang; Ruilin Chen; Shuangsi Xue

Pages: 384 - 393

3) Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild

Author(s): Zhipeng Dong; Yi Gao; Yunhui Yan; Fei Chen

Pages: 394 - 403

4) Deep Neural Network Approach in EMG-Based Force Estimation for Human–Robot Interaction

Author(s): Hang Su; Wen Qi; Zhijun Li; Ziyang Chen; Giancarlo Ferrigno; Elena De Momi

Pages: 404 - 412

5) Enhanced Broad Siamese Network for Facial Emotion Recognition in Human–Robot Interaction

Author(s): Yikai Li; Tong Zhang; C. L. Philip Chen

Pages: 413 - 423

6) Deep Feature Representation Based Imitation Learning for Autonomous Helicopter Aerobatics

Author(s): Shaofeng Chen; Yang Cao; Yu Kang; Pengfei Li; Bingyu Sun

Pages: 437 - 446

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 5, Number 5, October 2021

1) A Survey on Neural Network Interpretability

Author(s): Yu Zhang; Peter Tiňo; Aleš Leonardis; Ke Tang

Pages: 726 - 742

2) Design of In-Situ Learning Bidirectional Associative Memory Neural Network Circuit With Memristor Synapse

Author(s): Jichen Shi; Zhigang Zeng

Pages: 743 - 754

3) Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks

Author(s): Eirini Troullinou; Grigorios Tsagkatakis; Spyridon Chavlis; Gergely F. Turi; Wenke Li; Attila Losonczy; Panagiotis Tsakalides; Panayiota Poirazi

Pages: 755 - 767

4) Neural Network Training for Uncertainty Quantification Over Time-Range

Author(s): H. M. Dipu Kabir; Abbas Khosravi; Saeid Nahavandi; Dipti Srinivasan

Pages: 768 - 779

5) Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features

Author(s): Yu-Fei Lin; Tzu-Ming Huang; Wei-Ho Chung; Yeong-Luh Ueng

Pages: 780 - 791

6) Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model

Author(s): S. A. Malik; A. H. Mir

Pages: 792 - 802

7) A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration

Author(s): Zhenghua Chen; Min Wu; Kaizhou Gao; Jiyan Wu; Jie Ding; Zeng Zeng; Xiaoli Li

Pages: 803 - 812

8) HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images

Author(s): Suraj Prakash Sahoo; Samit Ari; Kamalakanta Mahapatra; Saraju P. Mohanty

Pages: 813 - 825

9) Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching

Author(s): Yu-Lin Lan; Fagui Liu; Wing W. Y. Ng; Jun Zhang; Mengke Gui

Pages: 826 - 839

10) IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning

Author(s): Yize Chen; Hao Wang

Pages: 840 - 845

11) Some Generalized Integrals Applied in Scientometrics and Related Evaluation

Author(s): LeSheng Jin; Radko Mesiar; Andrea Stupňanová; Ronald R. Yager

Pages: 846 - 853

12) An Intelligent Type-2 Fuzzy Stabilization of Multi-DC Nano Power Grids

Author(s): Mahdi Mosayebi; Meysam Gheisarnejad; Mohammad-Hassan Khooban

Pages: 854 - 859

Weekly Review - 12 November 2021

Some interesting links that I Tweeted about this week:

1) Simulating a dragonfly's brain shows that enormous deep neural networks aren't always necessary: https://spectrum.ieee.org/fast-efficient-neural-networks-copy-dragonfly-brains

2) The precariousness of research positions is why I got out of a research-only career and into academic management - a much better way of supporting my family: https://www.nature.com/articles/d41586-021-02613-4

3) Some recent advances in reinforcement learning for deep  neural networks: https://spectrum.ieee.org/reinforcement-learning

4) AI in general, and Deep Neural Networks in particular, have been over-hyped. They can still achieve some useful results, but a healthy level skepticism should be employed: https://www.bloomberg.com/opinion/articles/2021-10-04/artificial-intelligence-ain-t-that-smart-look-at-tesla-facebook-healthcare

5) Using AI to bet on horses: https://spectrum.ieee.org/betting-with-no-code-ai

6) I've been working from home almost three months. I've never done any of these five things: https://www.stuff.co.nz/business/prosper/advice/300419444/five-things-to-avoid-when-working-from-home

7) This is not going to end well: https://spectrum.ieee.org/predictive-ai-pentagon AI

8) Overview of zero-shot learning: https://www.kdnuggets.com/2021/04/zero-shot-learning.html 

9) Organic, implantable, neural networks https://spectrum.ieee.org/brain-inspired-ai-implant 

10) My alma mater is using AI to increase energy efficiency in its buildings: https://www.odt.co.nz/news/dunedin/campus/ai-managing-university-energy-use

11) Deep learning in military robots: https://spectrum.ieee.org/ai-army-robots

12) Good overview of time-series prediction with machine learning: https://www.kdnuggets.com/2020/03/machine-learning-time-series-forecasting-sequel.html

13) How the energy costs of deep learning are becoming unsustainable: https://spectrum.ieee.org/deep-learning-computational-cost

14) Three reasons why academics stay on long past retirement age: https://www.insidehighered.com/blogs/learning-innovation/3-reasons-why-higher-ed-people-who-can-afford-retire-keep-working

15) Overview of the history of AI, especially neural networks: https://spectrum.ieee.org/history-of-ai

On class differences in research

 My guilty secret is that I like to browse Quora, and occasionally answer some questions. One question I wrote an answer for, was "What is it like to get a PhD when you grew up in a poor family?". Below I reproduce the answer I gave, explaining that while I wouldn't have considered myself poor by the standards of the time, I probably would be now. I also wouldn't have been able to get a PhD if I had been born twenty years later, it just wouldn't have been feasible.

For some time, whenever I went to a conference or workshop, I would ask the PhD-holding researchers I got to know, what their parents did for a living. In almost every case, their parents were professionals of some description. The number of researchers who had working-class parents, like I did, were very, very small.

This very unscientific polling leads me to believe that while improvements are being made in the diversity of researchers with respect to race and gender, the impediments caused by class to access to higher education, and ultimately becoming a researcher, are still there. It is already hard for working-class kids to access tertiary education, and the current pandemic is exacerbating that inequality. But what can we do about it?

Below is the answer I gave to the Quora question above.

IEEE Transactions on Neural Networks and Learning Systems, Volume 32, Number 11, November 2021

1) New Insights Into Drug Repurposing for COVID-19 Using Deep Learning

Author(s): Chun Yen Lee; Yi-Ping Phoebe Chen

Pages: 4770 - 4780

2) AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images

Author(s): Zhijie Lin; Zhaoshui He; Shengli Xie; Xu Wang; Ji Tan; Jun Lu; Beihai Tan

Pages: 4781 - 4792

3) A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

Author(s): Erico Tjoa; Cuntai Guan

Pages: 4793 - 4813

4) Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

Author(s): Jing Jin; Ruocheng Xiao; Ian Daly; Yangyang Miao; Xingyu Wang; Andrzej Cichocki

Pages: 4814 - 4825

5) Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

Author(s): Muhammad Aminul Islam; Bryce Murray; Andrew Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller

Pages: 4826 - 4838

6) Graph-Based Function Perturbation Analysis for Observability of Multivalued Logical Networks

Author(s): Shuling Wang; Haitao Li

Pages: 4839 - 4848

7) An Efficient Parameter-Free Learning Automaton Scheme

Author(s): Chong Di; Qilian Liang; Fangqi Li; Shenghong Li; Fucai Luo

Pages: 4849 - 4863

8) Incremental Unsupervised Domain-Adversarial Training of Neural Networks

Author(s): Antonio-Javier Gallego; Jorge Calvo-Zaragoza; Robert B. Fisher

Pages: 4864 - 4878

9) Discrete-Time H2 Neural Control Using Reinforcement Learning

Author(s): Adolfo Perrusquía; Wen Yu

Pages: 4879 - 4889

10) Low-Cost Approximation-Based Adaptive Tracking Control of Output-Constrained Nonlinear Systems

Author(s): Kai Zhao; Yongduan Song; Wenchao Meng; C. L. Philip Chen; Long Chen

Pages: 4890 - 4900

11) A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification

Author(s): Hong Li; Li Zhang

Pages: 4901 - 4915

12) Synchronization of Inertial Neural Networks With Time-Varying Delays via Quantized Sampled-Data Control

Author(s): Xinyu Zhong; Yanbo Gao

Pages: 4916 - 4930

13) Prescribed Performance Adaptive Neural Compensation Control for Intermittent Actuator Faults by State and Output Feedback

Author(s): Yongqiang Nai; Qingyu Yang; Zongze Wu

Pages: 4931 - 4945

14) Cumulative Permuted Fractional Entropy and its Applications

Author(s): Boyi Zhang; Pengjian Shang

Pages: 4946 - 4955

15) Manifold Learning Based on Straight-Like Geodesics and Local Coordinates

Author(s): Zhengming Ma; Zengrong Zhan; Zijian Feng; Jiajing Guo

Pages: 4956 - 4970

16) Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models

Author(s): Min Gan; Yu Guan; Guang-Yong Chen; C. L. Philip Chen

Pages: 4971 - 4982

17) Multiple Kernel k-Means Clustering by Selecting Representative Kernels

Author(s): Yaqiang Yao; Yang Li; Bingbing Jiang; Huanhuan Chen

Pages: 4983 - 4996

18) Masked Autoencoder for Distribution Estimation on Small Structured Data Sets

Author(s): Ahmad Khajenezhad; Hatef Madani; Hamid Beigy

Pages: 4997 - 5007

19) Multimodel Feature Reinforcement Framework Using Moore–Penrose Inverse for Big Data Analysis

Author(s): Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang; Thangarajah Akilan

Pages: 5008 - 5021

20) A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction

Author(s): Zhen Li; Jianguo Wu; Xiaowei Yue

Pages: 5022 - 5033

21) Laplacian Pyramid Neural Network for Dense Continuous-Value Regression for Complex Scenes

Author(s): Xuejin Chen; Xiaotian Chen; Yiteng Zhang; Xueyang Fu; Zheng-Jun Zha

Pages: 5034 - 5046

22) Smoothness Regularized Multiview Subspace Clustering With Kernel Learning

Author(s): Chang-Dong Wang; Man-Sheng Chen; Ling Huang; Jian-Huang Lai; Philip S. Yu

Pages: 5047 - 5060

23) Exponential H∞ State Estimation for Memristive Neural Networks: Vector Optimization Approach

Author(s): Ruoxia Li; Jinde Cao

Pages: 5061 - 5071

24) Translation-Invariant Kernels for Multivariable Approximation

Author(s): Věra Kůrková; David Coufal

Pages: 5072 - 5081

25) Revisiting Internal Covariate Shift for Batch Normalization

Author(s): Muhammad Awais; Md. Tauhid Bin Iqbal; Sung-Ho Bae

Pages: 5082 - 5092

26) Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance

Author(s): Jinxing Li; Bob Zhang; Guangming Lu; Yong Xu; Feng Wu; David Zhang

Pages: 5093 - 5107

27) Stability Analysis of Continuous-Time Switched Neural Networks With Time-Varying Delay Based on Admissible Edge-Dependent Average Dwell Time

Author(s): Hui-Ting Wang; Yong He; Chuan-Ke Zhang

Pages: 5108 - 5117

28) Event-Triggered Nonlinear Iterative Learning Control

Author(s): Na Lin; Ronghu Chi; Biao Huang; Zhongsheng Hou

Pages: 5118 - 5128

29) An Improved Nonparallel Support Vector Machine

Author(s): Liming Liu; Maoxiang Chu; Rongfen Gong; Li Zhang

Pages: 5129 - 5143

30) Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique

Author(s): Alexander E. Prosvirin; Farzin Piltan; Jong-Myon Kim

Pages: 5144 - 5155

31) Decentralized Filtering Adaptive Neural Network Control for Uncertain Switched Interconnected Nonlinear Systems

Author(s): Tong Ma

Pages: 5156 - 5166

32) A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol

Author(s): Nan Hou; Hongli Dong; Zidong Wang; Hongjian Liu

Pages: 5167 - 5178

33) Particle Swarm Optimization Algorithm With Self-Organizing Mapping for Nash Equilibrium Strategy in Application of Multiobjective Optimization

Author(s): Chenhui Zhao; Donghui Guo

Pages: 5179 - 5193

34) Accuracy Versus Simplification in an Approximate Logic Neural Model

Author(s): Junkai Ji; Yajiao Tang; Lijia Ma; Jianqiang Li; Qiuzhen Lin; Zheng Tang; Yuki Todo

Pages: 5194 - 5207

35) Event-Triggered Adaptive Optimal Control With Output Feedback: An Adaptive Dynamic Programming Approach

Author(s): Fuyu Zhao; Weinan Gao; Zhong-Ping Jiang; Tengfei Liu

Pages: 5208 - 5221

36) Finite- and Fixed-Time Cluster Synchronization of Nonlinearly Coupled Delayed Neural Networks via Pinning Control

Author(s): Xin Zhang; Wuneng Zhou; Hamid Reza Karimi; Yuqing Sun

Pages: 5222 - 5231

37) Iterative Learning Model-Free Control for Networked Systems With Dual-Direction Data Dropouts and Actuator Faults

Author(s): Jiannan Chen; Changchun Hua; Xinping Guan

Pages: 5232 - 5240

38) Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems

Author(s): Manish Narwaria; Aditya Tatu

Pages: 5241 - 5246

39) Concept Factorization With Local Centroids

Author(s): Mulin Chen; Xuelong Li

Pages: 5247 - 5253

40) Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints

Author(s): Kaihong Lu; Qixin Zhu

Pages: 5254 - 5260

Three helpful stories

Having spent a big chunk of my working life teaching, I've learned how valuable metaphors can be when communicating. Some of the most effective metaphors are in the form of funny or amusing stories. This applies to doing research as well: with the Internet originating in universities, a lot of stories or parables related to research have been circulating on the Internet for a very long time.

None of the stories below are mine, they have all been circulating for a long time. They are, however, relevant to doing research.

The Pot Roast

One day a young woman was cooking a roast. Her husband asked her why she cut the ends off of the roast before putting it in the over. She replied "I don't know, that's the way my mother always did it". Later that night, she phoned her mother and asked her why she always cut the ends off of the roast before putting it in the oven. Her mother replied "I don't know, that's the way your grandmother always did it". So the young woman phoned her grandmother, and asked her why. Her grandmother replied "Because the roast was too big for the pot".

The story of the Russian sentry in the field is in a similar vein.

There might have once been a good reason for doing something a certain way, but that doesn't mean that that reason is still valid. Methods and procedures need to be re-evaluated regularly. Fixating on one way of doing things means that you can miss out on improving your methods and getting better results.

The Three Statisticians

Several versions of this story exist.

Three statisticians were out hunting when they sighted a deer. The first statistician fired and missed one metre to the left. The second statistician fired and missed one metre to the right. The third statistician cried out "We got it!".

Just because you can find an average of values, doesn't mean that that average is meaningful. This applies to other statistical measures as well. It might sound impressive if you use a complicated or obscure statistical method when processing your results, but if it's the wrong method the outcomes won't tell you anything. A good working knowledge of statistics and measurement theory is essential when analysing, and interpreting, data and results.

The Rabbit and the Fox

Another story were there are several different versions online, but all have the same punchline.

One day a fox was walking through the forest when it came across a rabbit sitting outside its burrow, reading a pile of papers. The fox asked the rabbit "What are you doing?" to which the rabbit replied "I'm doing the literature review for my thesis". "What's your thesis on?" the fox asked. "It's on the superiority of rabbits to foxes. Would you like to come inside and discus it?". The fox licked its lips hungrily, followed the rabbit into the rabbit burrow, and was never seen again.

Some time later, a wolf was walking past the burrow when it saw the rabbit sitting outside, poring over a thick volume. "What are you doing?" the wolf asked the rabbit. "I'm proof-reading my thesis" said the rabbit "It's on the superiority of rabbits over wolves. Would you like to come inside and discuss it?". The wolf licked its lips hungrily, followed the rabbit into the rabbit burrow, and was never seen again.

A few months later, a hare was hopping through the forest past the rabbit burrow, and saw the rabbit sitting in the sun, relaxing. "What are you doing?" the hare asked the rabbit. "I'm having a break - I've just defended my thesis on the superiority of rabbits to foxes and wolves. Would you like to come inside and discuss it?". The hare followed the rabbit into the rabbit burrow. In one corner was a pile of fox bones. In another corner was a pile of wolf bones. Sitting between them was a lion.

So, it doesn't really matter what your thesis is about, as long as your supervisor is a lion.

Getting good advice when you are starting out is essential. The right mentor can set you up for life. The wrong mentor can ruin you. I've seen students lose their careers before they began simply because they chose the wrong PhD supervisor. These people have lost years of their lives and gone thousands of dollars into debt, for no gain. Some of them were pushed out before they submitted their thesis, while others failed their thesis examination because their supervisors failed to prepare them for the examination process. Be very careful when choosing a supervisor or a mentor. Better to choose a lion than a fox.

Soft Computing, Volume 25, Issue 24, December 2021

1) Approximate reciprocal Lie ⋆-Derivations

Author(s): B. V. Senthil KumarKhalifa Al-ShaqsiHemen Dutta

Pages: 14969 - 14977

2) An intelligent tutoring system for new student model using fuzzy soft set-based hybrid optimization algorithm

Author(s): Uddagiri ChandrasekharNeelu Khare

Pages: 14979 - 14992

3) Design of sliding mode controller for sensor/actuator fault with unknown input observer for satellite control system

Author(s): Muhammad Shamrooz Aslam; Irfan Qaisar...Perumal Ramaraj

Pages: 14993 - 15003

4) Possibility degree-based interval-valued q-rung orthopair fuzzy graphs

Author(s): Songyi Yin; Yang Yang...Hongxu Li

Pages: 15005 - 15020

5) Quantum-inspired ant lion-optimized hybrid fuzzy c-means method for fuzzy clustering and image segmentation

Author(s): Junwen Chen; Xuemei Qi...Guihua Cheng

Pages: 15021 - 15034

6) Parameter-free and cooperative local search algorithms for graph colouring

Author(s): David Chalupa; Peter Nielsen

Pages: 15035 - 15050

7) An adaptive surrogate-assisted particle swarm optimization for expensive problems

Author(s): Xuemei Li; Shaojun Li

Pages: 15051 - 15065

8) Matrix games with proportional linguistic payoffs

Author(s): Parul Chauhan; Anjana Gupta

Pages: 15067 - 15081

9) Multi-item two-stage fixed-charge 4DTP with hybrid random type-2 fuzzy variable

Author(s): Sudeshna Devnath; Pravash Kumar Giri...Manoranjan Maiti

Pages: 15083 - 15114

10) Efficient feature selection for inconsistent heterogeneous information systems based on a grey wolf optimizer and rough set theory

Author(s): Ahmed Hamed; Hamed Nassar

Pages: 15115 - 15130

11) Opposition-based multi-objective whale optimization algorithm with multi-leader guiding

Author(s): Yang Li; Wei-gang Li...Ao Liu

Pages: 15131 - 15161

12) Self-adaptively commensal learning-based Jaya algorithm with multi-populations and its application

Author(s): Zuanjia Xie; Chunliang Zhang...Liqun Gao

Pages: 15163 - 15181

13) CVE-Net: cost volume enhanced network guided by sparse features for stereo matching

Author(s): Qingzhen Xu; Shuang Liu...Xiaonan Luo

Pages: 15183 - 15199

14) Combining grey clustering and fuzzy grey cognitive maps: an approach to group decision-making on cause-and-effect relationships

Author(s): Lucas Gabriel Zanon; Luiz Cesar Ribeiro Carpinetti

Pages: 15201 - 15220

15) An improving failure mode and effect analysis method for pallet exchange rack risk analysis

Author(s): Chuanxi Jin; Yan Ran; Genbao Zhang

Pages: 15221 - 15241

16) Analysis of rank reversal problems in “Weighted Aggregated Sum Product Assessment” method

Author(s): Adil Baykasoğlu; Elif Ercan

Pages: 15243 - 15254

17) Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN

Author(s): M. Suchetha; N. Sai Ganesh...D. Edwin Dhas

Pages: 15255 - 15268

18) AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection

Author(s): Kasra Babaei; Zhi Yuan Chen; Tomas Maul

Pages: 15269 - 15280

19) PCA-based gender classification system using hybridization of features and classification techniques

Author(s): Shaveta Dargan; Munish Kumar; Shikha Tuteja

Pages: 15281 - 15295

20) Soft computing of the recompression index of fine-grained soils

Author(s): Saif Alzabeebee; Younis M. Alshkane...Kamal Ahmad Rashed

Pages: 15297 - 15312

21) Evaluation and prioritisation of potential locations for investment in dental tourism

Author(s): Fatemeh Ahmadimanesh; Mohammad Pourmehdi; Mohammad Mahdi Paydar

Pages: 15313 - 15333

22) Evidence of the correlation between a city’s air pollution and human health through soft computing

Author(s): Salvatore Rampone; Alessio Valente

Pages: 15335 - 15343

23) Deep neural networks for COVID-19 detection and diagnosis using images and acoustic-based techniques: a recent review

Author(s): Walid Hariri; Ali Narin

Pages: 15345 - 15362

24) An optimized deep learning model using Mutation-based Atom Search Optimization algorithm for cervical cancer detection

Author(s): B. Chitra; S. S. Kumar

Pages: 15363 - 15376

25) Artificial intelligence techniques for enhanced skin lesion detection

Author(s): Sudhriti Sengupta; Neetu Mittal; Megha Modi

Pages: 15377 - 15390

26) Energy saving diagnosis model of petrochemical plant based on intelligent curvelet support vector machine

Author(s): Bin Zhao; Dou Qin...Lizhi Xu

Pages: 15391 - 15401

27) Prototype generation in the string space via approximate median for data reduction in nearest neighbor classification

Author(s): Francisco J. Castellanos; Jose J. Valero-Mas; Jorge Calvo-Zaragoza

Pages: 15403 - 15415

28) Hybrid SFO and TLBO optimization for biodegradable classification

Author(s): Suvita Rani Sharma; Birmohan Singh; Manpreet Kaur

Pages: 15417 - 15443

29) Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal

Author(s): Santosh Kumar Satapathy; D. Loganathan

Pages: 15445 - 15462

30) A new hybrid algorithm for estimating confined and leaky aquifers parameters from transient time-drawdown data

Author(s): Walid Tadj; Mohamed Chettih; Kaddour Mouattah

Pages: 15463 - 15476

Soft Computing, Volume 25, issue 23, December 2021

1) Improvement of the approximations and accuracy measure of a rough set using somewhere dense sets

Author(s): Tareq M. Al-shami

Pages: 14449 - 14460

2) Predicting the abnormality of brain and compute the cognitive power of human using deep learning techniques using functional magnetic resonance images

Author(s): K. Palraj; V. Kalaivani

Pages: 14461 - 14478

3) Driving to safety: real-time danger spot and drowsiness monitoring system

Author(s): Vijay Kumar; Hoang Pham...Abhishek Goel

Pages: 14479 - 14497

4) Filter theory of extended implicative groupoids

Author(s): E. Sameri; R. A. Borzooei; D. Ebrahimi Bagha

Pages: 14499 - 14508

5) Interval type-2 fuzzy brain emotional control design for the synchronization of 4D nonlinear hyperchaotic systems

Author(s): Tuan-Tu Huynh; Chih-Min Lin...Fei Chao

Pages: 14509 - 14535

6) Development of a new hesitant fuzzy ranking model for NTMP ranking problem

Author(s): Kumru Didem Atalay; Yusuf Tansel İçMelis Boran

Pages: 14537 - 14548

7) Uncertain regression model with autoregressive time series errors

Author(s): Dan Chen

Pages: 14549 - 14559

8) Neural labeled LDA: a topic model for semi-supervised document classification

Author(s): Wei Wang; Bing Guo...Xinhua Suo

Pages: 14561 - 14571

9) Data sanitization against label flipping attacks using AdaBoost-based semi-supervised learning technology

Author(s): Ning Cheng; Hongpo Zhang; Zhanbo Li

Pages: 14573 - 14581

10) A robust fuzzy approach for gene expression data clustering

Author(s): Meskat Jahan; Mahmudul Hasan

Pages: 14583 - 14596

11) A hybrid parallel Harris hawks optimization algorithm for reusable launch vehicle reentry trajectory optimization with no-fly zones

Author(s): Ya Su; Ying Dai; Yi Liu

Pages: 14597 - 14617

12) Object pose estimation for robot loading in accommodation space using alpha-shape algorithm

Author(s): Qingda Guo; Lulu Tang; Jianchi Zhang

Pages: 14619 - 14628

13) Generalized Hukuhara-Clarke Derivative of Interval-valued Functions and its Properties

Author(s): Ram Surat Chauhan; Debdas Ghosh...Amit Kumar Debnath

Pages: 14629 - 14643

14) Adaptive multi-objective particle swarm optimization using three-stage strategy with decomposition

Author(s): Weimin Huang; Wei Zhang

Pages: 14645 - 14672

15) An ACO-based heuristic approach for a route and speed optimization problem in home health care with synchronized visits and carbon emissions

Author(s): Hongyuan Luo; Mahjoub Dridi; Olivier Grunder

Pages: 14673 - 14696

16) Modeling and combined application of MOEA/D and TOPSIS to optimize WEDM performances of A286 superalloy

Author(s): Subhankar Saha; Saikat Ranjan Maity...Saykat Dutta

Pages: 14697 - 14713

17) On the binarization of Grey Wolf optimizer: a novel binary optimizer algorithm

Author(s): Mehdy Roayaei

Pages: 14715 - 14728

18) A novel metaheuristic method based on artificial ecosystem-based optimization for optimization of network reconfiguration to reduce power loss

Author(s): Thuan Thanh Nguyen

Pages: 14729 - 14740

19) A novel picture fuzzy linguistic Muirhead Mean aggregation operators and their application to multiple attribute decision making

Author(s): Sidong Xian; Yue Cheng; Zhou Liu

Pages: 14741 - 14756

20) Zone scheduling optimization of pumps in water distribution networks with deep reinforcement learning and knowledge-assisted learning

Author(s): Jiahui Xu; Hongyuan Wang...Jingcheng Wang

Pages: 14757 - 14767

21) Optimal futures hedging strategies based on an improved kernel density estimation method

Author(s): Xing Yu; Xinxin Wang...Zijin Li

Pages: 14769 - 14783

22) Lookback option pricing problem of uncertain mean-reverting currency model

Author(s): Yang Liu; Liying Liu

Pages: 14785 - 14795

23) Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis

Author(s): Qing Shen; Jungang Lou...Yunliang Jiang

Pages: 14797 - 14807

24) A novel fuzzy dominant goal programming for portfolio selection with systematic risk and non-systematic risk

Author(s): Xue Deng; Yongkang Yuan

Pages: 14809 - 14828

25) A MANFIS-based geometric deviation prediction and optimal parameter selection for SPIF geometric accuracy improvement

Author(s): D. Moses Raja Cecil

Pages: 14829 - 14840

26) An exploratory analysis of regression methods for predicting faults in software systems

Author(s): Santosh S. Rathore

Pages: 14841 - 14872

27) On type-2 fuzzy weighted minimum spanning tree

Author(s): Surajit Dan; Saibal Majumder...Samarjit Kar

Pages: 14873 - 14892

28) Greedy randomized adaptive search procedure for simultaneous scheduling of production and preventive maintenance activities in dynamic flexible job shops

Author(s): Adil Baykasoğlu; Fatma S. Madenoğlu

Pages: 14893 - 14932

29) A monarch butterfly optimization for an unequal area facility layout problem

Author(s): Minhee Kim; Junjae Chae

Pages: 14933 - 14953

30) An efficient chaotic salp swarm optimization approach based on ensemble algorithm for class imbalance problems

Author(s): Rekha Gillala; Krishna Reddy Vuyyuru...Ugo Fiore

Pages: 14955 - 14965

31) Correction to: A hybrid parallel Harris hawks optimization algorithm for reusable launch vehicle reentry trajectory optimization with no-fly zones

Author(s): Ya Su; Ying Dai; Yi Liu

Pages: 14967 - 14968