Weekly Review 13 September 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. An AI driven style guide for those shopping for clothes: https://www.theguardian.com/business/article/2024/sep/05/m-and-s-using-ai-to-advise-shoppers-body-shape-style-preferences
2. An AI to perform financial compliance monitoring. But who is going to monitor the monitor? https://techcrunch.com/2024/09/05/sedric-monitors-the-communications-of-employees-at-financial-institutions-to-ensure-compliance/
3. Will an opt-in structure around copyright material solve the legal and ethical problems around AI training data? https://arstechnica.com/ai/2024/09/new-ai-standards-group-wants-to-make-data-scraping-opt-in/
4. Crowdstrike's contracts immunised against liability after their software crashed the world. Is there similar language in AI software contracts? https://www.informationweek.com/it-leadership/contractual-lessons-learned-from-the-crowdstrike-outage
5. Why Apple in particular? What is so bad about their AI that people don't want them scraping their websites for training data? https://futurism.com/the-byte/apple-ai-training
6. Tell me you like a toxic workplace without saying you like a toxic workplace: https://www.nzherald.co.nz/nz/auckland-university-of-technology-survey-uncovers-concerning-law-school-workplace-higher-staff-bullying-rates/G27CB6BR3JGRPI2VX6DP4I4UEI/
7. AI alone is not going to solve problems, there needs to be social change as well: https://spectrum.ieee.org/ai-for-good
8. AI starts copying users' voices without their consent: https://futurism.com/the-byte/chatgpt-clone-voice-without-permission
9. Is banning AI from a writing competition really classist or ableist? https://arstechnica.com/information-technology/2024/09/generative-ai-backlash-hits-annual-writing-event-prompting-resignations/
10. More on the high demand of AI for energy and water: https://www.theregister.com/2024/09/05/ai_water_energy/
11. The Australian government wants mandatory guardrails for AI in high risk applications: https://www.techrepublic.com/article/australia-proposes-mandatory-guardrials-ai/
12. 30% of generative AI projects fail. What's the failure rate of other software projects? https://www.techrepublic.com/article/30-generative-ai-projects-fail-amid-high-costs-and-risks/
13. Improving healthcare outcomes with AI symptom checkers: https://dataconomy.com/2024/09/03/how-can-ai-powered-symptom-checkers-and-diagnostic-tools-improve-healthcare-outcomes/
14. An overview of reinforcement learning: https://www.kdnuggets.com/understanding-the-basics-of-reinforcement-learning
15. Geothermal energy is getting a boost as tech companies seek low-carbon electricity to power their AI: https://www.popsci.com/technology/geothermal-ai/
16. Is Auckland Uni's VC starting to listen to staff? Or was it just the bad publicity that forced a back-down? https://www.nzherald.co.nz/nz/auckland-university-course-shake-up-backdown-after-course-shake-up-sparks-academic-revolt/6YMS35GH7BHG5FR2UYOTNF3SDY/
17. A new token technology that allows AI to trade with one another: https://dataconomy.com/2024/09/02/the-first-ever-ai-to-ai-crypto-transaction-has-just-happened/
18. Do all tertiary graduates need to know about AI? https://www.insidehighered.com/opinion/views/2024/09/06/ensuring-every-student-will-graduate-knowing-ai-opinion
19. How generative AI is being used in healthcare: https://www.informationweek.com/it-sectors/how-healthcare-and-life-science-companies-are-using-genai
20. Some ways AI can help with HR functions: https://www.datanami.com/2024/09/05/how-ai-could-be-used-to-improve-talent-acquisition-and-management/
21. Bill Gates' thoughts on AI and its energy demands, including nuclear power:  https://www.theverge.com/24235730/bill-gates-ai-climate-change-energy-tech-microsoft-netflix
22. YouTube is developing tools to detect AI generated versions of content creators, among other things: https://techcrunch.com/2024/09/05/youtube-is-developing-ai-detection-tools-for-music-and-faces-plus-creator-controls-for-ai-training/
23. AI can be both the hero and villain of climate change, by improving carbon neutral generation, but at the same time demanding more energy: https://www.datasciencecentral.com/are-bill-gates-energy-expectations-for-ai-optimism-or-realism/

Weekly Review 6 September 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. There are a lot of assumptions behind large language model AI, and these assumptions might not be valid: https://www.theregister.com/2024/08/30/ai_language_cognition_research/
2. Violating authors' copyrights on academic publications is a nonsense objection, because authors don't get paid for their contributions. All the money goes to the publishers: https://www.insidehighered.com/news/government/science-research-policy/2024/08/29/open-access-expansion-threatens-academic
3. AI needs a lot of data to train on. Is OpenAI's deal with publishers to get more data, or protect against lawsuits? https://www.theverge.com/2024/8/30/24230975/openai-publisher-deals-web-search
4. Is it just me, or does Auckland University's VC have a bit of a credibility problem? https://www.nzherald.co.nz/nz/university-of-auckland-academics-in-unprecedented-revolt-over-controversial-course-shake-up/ODXSAEWSHFHFLLPR73HWSOEMTE/
5. I think it would be better to pay teachers better than spend money on dodgy AI tools: https://www.theregister.com/2024/08/29/uk_ai_for_teachers/
6. Wall Street is really bad at picking long-term winners, especially in AI: https://www.computerworld.com/article/3496244/will-microsofts-big-roll-of-the-ai-dice-pay-off.html
7. More movement on the California AI regulation laws. Predictably, tech companies are not happy: https://www.theguardian.com/technology/article/2024/aug/29/california-ai-regulation-bill
8. Combining the polytechs was a stupid idea, and it's going to take years to repair the damage it caused. Unfortunately, I don't think the current government has the ability or inclination to do it: https://www.stuff.co.nz/nz-news/350395029/te-pukenga-staff-pissed-tired-organisations-constant-change
9. One way to reduce the climate impact of AI is to make the hardware more energy efficient: https://www.theregister.com/2024/08/29/ai_thirst_for_power/
10. The previous government kept the border closed for too long, and kept international students out for too long. Universities are suffering because of this: https://www.stuff.co.nz/nz-news/350394733/universities-finances-worse-they-appear-two-unis-high-risk-report-says
11. Why generative AI can't spell. Or count: https://techcrunch.com/video/techcrunch-minute-heres-why-ai-has-a-hard-time-spelling-strawberry/
12. Just because current AI can butcher language doesn't mean we're any closer to artificial general intelligence. A parrot can ask if you want a cup of tea, but still doesn't know to put the kettle on: https://www.informationweek.com/machine-learning-ai/artificial-general-intelligence-in-2025-good-luck-with-that
13. AI can be used to cheat on multiple choice tests, but they're really bad at it: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2024/08/30/professor-finds-way-see-if-students-used-ai
14. The conditions and personality traits that lead to workaholism seem to be rather common in academia: https://knowablemagazine.org/content/article/society/2024/are-you-a-workaholic-how-to-spot-the-signs
15. The problem with AI travel planning is that AI have no idea what people like, what makes a nice hotel, or a nice restaurant: https://www.popsci.com/diy/how-to-plan-travel-with-ai/
16. Using AI to detect and determine illnesses from the sounds people make: https://techcrunch.com/2024/08/29/google-is-working-on-ai-that-can-hear-signs-of-sickness/
17. While AI companies need to respect robots.txt, there also needs to be some standardisation as to how website owners specify what content they don't want crawled for AI training: https://spectrum.ieee.org/web-crawling
18. The skills you need to have to survive in IT in the age of AI: https://spectrum.ieee.org/it-professionals-in-ai-era
19. Finally there's a definition of open source AI. AI companies don't like it: https://www.computerworld.com/article/3496197/the-phrase-open-source-ai-gets-a-definition.html
20. Using AI to detect and predict the progression of dementia from brain scans: https://www.extremetech.com/science/researchers-train-dementia-spotting-ai-on-over-a-million-brain-scans
21. Watermarking of AI generated content is a great idea, but trolls won't use it. Neither will those with more nefarious motivations: https://futurism.com/the-byte/grimes-ai-elon-musk-diss-magazine
22. I still don't think these wearable AI devices are going to be successful as long as they are trying to do something that a smartphone can do much cheaper: https://techcrunch.com/video/techcrunch-minute-plauds-notepin-is-a-wearable-ai-powered-notetaker/
23. How to avoid five common errors when processing data: https://www.kdnuggets.com/5-common-data-science-mistakes-and-how-to-avoid-them
24. AI make prosthetic limbs move more naturally and precisely: https://www.informationweek.com/machine-learning-ai/how-ai-is-revolutionizing-prosthetics-to-refine-movement

IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Number 9, September 2024

1) Guest Editorial: Special Issue on Graph Learning

Author(s): Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King

Pages: 11630 - 11633

2) Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

Author(s): Jianfei Li, Ruigang Zheng, Han Feng, Ming Li, Xiaosheng Zhuang

Pages: 11634 - 11648

3) MARML: Motif-Aware Deep Representation Learning in Multilayer Networks

Author(s): Da Zhang, Mansur R. Kabuka

Pages: 11649 - 11660

4) Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity

Author(s): Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White

Pages: 11661 - 11670

5) Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning

Author(s): M. A. Ganaie, M. Sajid, A. K. Malik, M. Tanveer

Pages: 11671 - 11680

6) Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning

Author(s): Chaoxi Niu, Guansong Pang, Ling Chen

Pages: 11681 - 11691

7) Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning

Author(s): Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan

Pages: 11692 - 11705

8) Motif-Based Contrastive Learning for Community Detection

Author(s): Xunxun Wu, Chang-Dong Wang, Jia-Qi Lin, Wu-Dong Xi, Philip S. Yu

Pages: 11706 - 11719

9) Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks

Author(s): Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang

Pages: 11720 - 11733

10) Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction

Author(s): Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros

Pages: 11734 - 11745

11) A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems

Author(s): Congsong Zhang, Yong Gao, James Nastos

Pages: 11746 - 11760

12) Physics-Informed Explainable Continual Learning on Graphs

Author(s): Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, Charu C. Aggarwal

Pages: 11761 - 11772

13) GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting

Author(s): Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci

Pages: 11773 - 11787

14) Deep Learning for Dynamic Graphs: Models and Benchmarks

Author(s): Alessio Gravina, Davide Bacciu

Pages: 11788 - 11801

15) Correlation-Aware Spatial–Temporal Graph Learning for Multivariate Time-Series Anomaly Detection

Author(s): Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang

Pages: 11802 - 11816

16) Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection

Author(s): Xiaokang Zhou, Jiayi Wu, Wei Liang, Kevin I-Kai Wang, Zheng Yan, Laurence T. Yang, Qun Jin

Pages: 11817 - 11828

17) A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification

Author(s): Le Sun, Chenyang Li, Yongjun Ren, Yanchun Zhang

Pages: 11829 - 11842

18) Personalized Federated Graph Learning on Non-IID Electronic Health Records

Author(s): Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, Sajal K. Das

Pages: 11843 - 11856

19) Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation

Author(s): Han Huang, Leilei Sun, Bowen Du, Weifeng Lv

Pages: 11857 - 11871

20) Relation-Aware Heterogeneous Graph Network for Learning Intermodal Semantics in Textbook Question Answering

Author(s): Sai Zhang, Yunjie Wu, Xiaowang Zhang, Zhiyong Feng, Liang Wan, Zhiqiang Zhuang

Pages: 11872 - 11883

21) Object Counting via Group and Graph Attention Network

Author(s): Xiangyu Guo, Mingliang Gao, Guofeng Zou, Alessandro Bruno, Abdellah Chehri, Gwanggil Jeon

Pages: 11884 - 11895

22) GRA: Graph Representation Alignment for Semi-Supervised Action Recognition

Author(s): Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak

Pages: 11896 - 11905

23) Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey

Author(s): Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel

Pages: 11906 - 11921

24) Towards Fairness-Aware Federated Learning

Author(s): Yuxin Shi, Han Yu, Cyril Leung

Pages: 11922 - 11938

25) Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey

Author(s): Amjad Yousef Majid, Serge Saaybi, Vincent Francois-Lavet, R. Venkatesha Prasad, Chris Verhoeven

Pages: 11939 - 11957

26) Few-Shot Object Detection: A Comprehensive Survey

Author(s): Mona Köhler, Markus Eisenbach, Horst-Michael Gross

Pages: 11958 - 11978

27) Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks

Author(s): Bo Lyu, Shiping Wen, Yin Yang, Xiaojun Chang, Junwei Sun, Yiran Chen, Tingwen Huang

Pages: 11979 - 11988

28) SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction

Author(s): Pei Lv, Wentong Wang, Yunxin Wang, Yuzhen Zhang, Mingliang Xu, Changsheng Xu

Pages: 11989 - 12003

29) Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation

Author(s): Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin

Pages: 12004 - 12014

30) Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing

Author(s): Hegan Chen, Qinghui Hong, Zhongrui Wang, Chunhua Wang, Xiangxiang Zeng, Jiliang Zhang

Pages: 12015 - 12026

31) Sparse Personalized Federated Learning

Author(s): Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng

Pages: 12027 - 12041

32) Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence

Author(s): Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang

Pages: 12042 - 12056

33) Newton–Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver

Author(s): Yongxiu Cao, Lican Kang, Xuerui Li, Yanyan Liu, Yuan Luo, Yueyong Shi

Pages: 12057 - 12067

34) Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

Author(s): Łukasz Struski, Michał Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak

Pages: 12068 - 12082

35) Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels

Author(s): Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, Hengtao Shen

Pages: 12083 - 12094

36) Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems

Author(s): Yue Zhuo, Zhihuan Song, Zhiqiang Ge

Pages: 12095 - 12106

37) Data-Driven-Based Cooperative Resilient Learning Method for Nonlinear MASs Under DoS Attacks

Author(s): Chao Deng, Xiao-Zheng Jin, Zheng-Guang Wu, Wei-Wei Che

Pages: 12107 - 12116

38) Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition

Author(s): Yuren Mao, Yu Hao, Weiwei Liu, Xuemin Lin, Xin Cao

Pages: 12117 - 12129

39) Learning Heterogeneous Spatial–Temporal Context for Skeleton-Based Action Recognition

Author(s): Xuehao Gao, Yang Yang, Yang Wu, Shaoyi Du

Pages: 12130 - 12141

40) Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension

Author(s): Xian Sun, Fanglong Yao, Chibiao Ding

Pages: 12142 - 12156

41) SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification

Author(s): Jialin Wang, Rui Gao, Haotian Zheng, Hao Zhu, C.-J. Richard Shi

Pages: 12157 - 12171

42) Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning

Author(s): Zhongli Wang, Guohui Tian

Pages: 12172 - 12185

43) Active Clustering Ensemble With Self-Paced Learning

Author(s): Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li

Pages: 12186 - 12200

44) Pivotal-Aware Principal Component Analysis

Author(s): Xuelong Li, Pei Li, Hongyuan Zhang, Kangjia Zhu, Rui Zhang

Pages: 12201 - 12210

45) Distributed Adaptive Output Feedback Consensus for Nonlinear Stochastic Multiagent Systems by Reference Generator Approach

Author(s): Guopin Liu, Ju H. Park, Changchun Hua, Hongshuang Xu, Yafeng Li

Pages: 12211 - 12223

46) Efficient and Effective One-Step Multiview Clustering

Author(s): Jun Wang, Chang Tang, Zhiguo Wan, Wei Zhang, Kun Sun, Albert Y. Zomaya

Pages: 12224 - 12235

47) Deep Attentional Guided Image Filtering

Author(s): Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji

Pages: 12236 - 12250

48) Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

Author(s): Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao

Pages: 12251 - 12262

49) An FPGA-Implemented Antinoise Fuzzy Recurrent Neural Network for Motion Planning of Redundant Robot Manipulators

Author(s): Zhijun Zhang, Haotian He, Xianzhi Deng

Pages: 12263 - 12275

50) Hierarchical Weight Averaging for Deep Neural Networks

Author(s): Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li

Pages: 12276 - 12287

51) Improving Deep Neural Networks’ Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum

Author(s): Bao Wang, Qiang Ye

Pages: 12288 - 12300

52) Online Multi-View Learning With Knowledge Registration Units

Author(s): Sheng Wu, Ancong Wu, Wei-Shi Zheng

Pages: 12301 - 12315

53) Distribution Matching for Machine Teaching

Author(s): Xiaofeng Cao, Ivor W. Tsang

Pages: 12316 - 12329

54) New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences

Author(s): Weiming Wu, Jingtao Hu, Fukai Zhang, Cong Wang

Pages: 12330 - 12343

55) Modal-Regression-Based Broad Learning System for Robust Regression and Classification

Author(s): Licheng Liu, Tingyun Liu, C. L. Philip Chen, Yaonan Wang

Pages: 12344 - 12357

56) Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions

Author(s): Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li

Pages: 12358 - 12372

57) Effective Active Learning Method for Spiking Neural Networks

Author(s): Xiurui Xie, Bei Yu, Guisong Liu, Qiugang Zhan, Huajin Tang

Pages: 12373 - 12382

58) Dynamic Graph Representation Learning via Coupling-Process Model

Author(s): Pingtao Duan, Chuan Zhou, Yuting Liu

Pages: 12383 - 12395

59) Finite-Time Neural Network-Based Hierarchical Sliding Mode Antiswing Control for Underactuated Dual Ship-Mounted Cranes With Unmatched Sea Wave Disturbances Suppression

Author(s): Yuzhe Qian, Haibo Zhang, Die Hu

Pages: 12396 - 12408

60) Preassigned Time Adaptive Neural Tracking Control for Stochastic Nonlinear Multiagent Systems With Deferred Constraints

Author(s): Xiyue Guo, Huaguang Zhang, Jiayue Sun, Yu Zhou

Pages: 12409 - 12418

61) TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning

Author(s): Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Qi Liu, Jianqi Gao, Yanrui Jin, Liang Gong

Pages: 12419 - 12433

62) CapsRule: Explainable Deep Learning for Classifying Network Attacks

Author(s): Samaneh Mahdavifar, Ali A. Ghorbani

Pages: 12434 - 12448

63) Adaptive Modular Neural Control for Online Gait Synchronization and Adaptation of an Assistive Lower-Limb Exoskeleton

Author(s): Arthicha Srisuchinnawong, Chaicharn Akkawutvanich, Poramate Manoonpong

Pages: 12449 - 12458

64) Marginalized Augmented Few-Shot Domain Adaptation

Author(s): Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding

Pages: 12459 - 12469

65) Bit Reduction for Locality-Sensitive Hashing

Author(s): Huawen Liu, Wenhua Zhou, Hong Zhang, Gang Li, Shichao Zhang, Xuelong Li

Pages: 12470 - 12481

66) A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications

Author(s): Weibing Li, Yongping Pan

Pages: 12482 - 12493

67) MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation

Author(s): Shenwang Jiang, Jianan Li, Ying Wang, Wenxuan Wu, Jizhou Zhang, Bo Huang, Tingfa Xu

Pages: 12494 - 12506

68) CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

Author(s): Xiao Wang, Jingen Liu, Tao Mei, Jiebo Luo

Pages: 12507 - 12517

69) SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization

Author(s): Xubo Yue, Maher Nouiehed, Raed Al Kontar

Pages: 12518 - 12527

70) Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence

Author(s): Kai Liu, Hongbo Liu, Tao Wang, Guoqiang Hu, Tomas E. Ward, C. L. Philip Chen

Pages: 12528 - 12539

71) Metafeature Selection via Multivariate Sparse-Group Lasso Learning for Automatic Hyperparameter Configuration Recommendation

Author(s): Liping Deng, Wen-Sheng Chen, Mingqing Xiao

Pages: 12540 - 12552

72) Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application

Author(s): Jingkun Yan, Long Jin, Xin Luo, Shuai Li

Pages: 12553 - 12563

73) Semantic-Aware Dynamic Generation Networks for Few-Shot Human–Object Interaction Recognition

Author(s): Zhong Ji, Ping An, Xiyao Liu, Changxin Gao, Yanwei Pang, Ling Shao

Pages: 12564 - 12575

74) Graph-Based Unsupervised Feature Selection for Interval-Valued Information System

Author(s): Weihua Xu, Man Huang, Zongying Jiang, Yuhua Qian

Pages: 12576 - 12589

75) Graph Neural Networks With High-Order Polynomial Spectral Filters

Author(s): Zeyuan Zeng, Qinke Peng, Xu Mou, Ying Wang, Ruimeng Li

Pages: 12590 - 12603

76) Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems

Author(s): Yun Feng, Yaonan Wang, Yang Mo, Yiming Jiang, Zhijie Liu, Wei He, Han-Xiong Li

Pages: 12604 - 12616

77) PDE-Based Boundary Adaptive Consensus Control of Multiagent Systems With Input Constraints

Author(s): Wei Zhao, Yu Liu, Xiangqian Yao

Pages: 12617 - 12626

78) Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos

Author(s): Tianshan Liu, Kin-Man Lam, Jun Kong

Pages: 12627 - 12641

79) A Novel Swarm Exploring Varying Parameter Recurrent Neural Network for Solving Non-Convex Nonlinear Programming

Author(s): Zhijun Zhang, Xiaohui Ren, Jilong Xie, Yamei Luo

Pages: 12642 - 12652

80) Moment-Based Reinforcement Learning for Ensemble Control

Author(s): Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li

Pages: 12653 - 12664

81) Advancing Adversarial Training by Injecting Booster Signal

Author(s): Hong Joo Lee, Youngjoon Yu, Yong Man Ro

Pages: 12665 - 12677

82) Multiexperience-Assisted Efficient Multiagent Reinforcement Learning

Author(s): Tianle Zhang, Zhen Liu, Jianqiang Yi, Shiguang Wu, Zhiqiang Pu, Yanjie Zhao

Pages: 12678 - 12692

83) Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor

Author(s): Xinning Yi, Biao Luo, Yuqian Zhao

Pages: 12693 - 12705

84) Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks

Author(s): Yu Chen, Lingfei Wu, Mohammed J. Zaki

Pages: 12706 - 12717

85) PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks

Author(s): Anqi Xiao, Biluo Shen, Jie Tian, Zhenhua Hu

Pages: 12718 - 12730

86) A Broad Generative Network for Two-Stage Image Outpainting

Author(s): Zongyan Zhang, Haohan Weng, Tong Zhang, C. L. Philip Chen

Pages: 12731 - 12745

87) Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection

Author(s): Renfei Sun, Kun Hu, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Simon J. G. Lewis, Zhiyong Wang

Pages: 12746 - 12759

88) Reducing Urban Traffic Congestion Using Deep Learning and Model Predictive Control

Author(s): Zhun Yin, Tong Liu, Chieh Wang, Hong Wang, Zhong-Ping Jiang

Pages: 12760 - 12771

89) BViT: Broad Attention-Based Vision Transformer

Author(s): Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie

Pages: 12772 - 12783

90) Joint Entity and Relation Extraction With Set Prediction Networks

Author(s): Dianbo Sui, Xiangrong Zeng, Yubo Chen, Kang Liu, Jun Zhao

Pages: 12784 - 12795

91) Clustered Federated Learning in Heterogeneous Environment

Author(s): Yihan Yan, Xiaojun Tong, Shen Wang

Pages: 12796 - 12809

92) Interactive Feature Embedding for Infrared and Visible Image Fusion

Author(s): Fan Zhao, Wenda Zhao, Huchuan Lu

Pages: 12810 - 12822

93) Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving

Author(s): Jinghui Qin, Zhicheng Yang, Jiaqi Chen, Xiaodan Liang, Liang Lin

Pages: 12823 - 12835

94) Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs

Author(s): Yi Shi, Wei Xie, Weixing Chen, Lantao Xing, Weidong Zhang

Pages: 12836 - 12848

95) Effective Value Analysis of Fuzzy Similarity Relation in HQSS for Efficient Granulation

Author(s): Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia, Weiping Ding

Pages: 12849 - 12863

96) Cyclical Curriculum Learning

Author(s): H. Toprak Kesgin, M. Fatih Amasyali

Pages: 12864 - 12872

97) Multiagent Trust Region Policy Optimization

Author(s): Hepeng Li, Haibo He

Pages: 12873 - 12887

98) AutoGMap: Learning to Map Large-Scale Sparse Graphs on Memristive Crossbars

Author(s): Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Lingfang Zeng, Tingwen Huang

Pages: 12888 - 12898

99) Demystifying and Mitigating Bias for Node Representation Learning

Author(s): O. Deniz Kose, Yanning Shen

Pages: 12899 - 12912

100) An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method

Author(s): Xiaotao Jia, Huiyi Gu, Yuhao Liu, Jianlei Yang, Xueyan Wang, Weitao Pan, Youguang Zhang, Sorin Cotofana, Weisheng Zhao

Pages: 12913 - 12923

101) Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification

Author(s): Di Wang, Bo Du, Liangpei Zhang

Pages: 12924 - 12937

102) A Generic Self-Supervised Framework of Learning Invariant Discriminative Features

Author(s): Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas

Pages: 12938 - 12952

103) Convolutional Neural Network-Based Lane-Change Strategy via Motion Image Representation for Automated and Connected Vehicles

Author(s): Shuo Cheng, Zheng Wang, Bo Yang, Kimihiko Nakano

Pages: 12953 - 12964

104) Deep Multiview Adaptive Clustering With Semantic Invariance

Author(s): Jing Gao, Meng Liu, Peng Li, Jianing Zhang, Zhikui Chen

Pages: 12965 - 12978

105) Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning

Author(s): Dongdong Li, Li Xie, Zhe Wang, Hai Yang

Pages: 12979 - 12992

106) Fully Distributed Event-Triggered Anti-Windup Consensus of Heterogeneous Systems With Input Saturation and an Active Leader

Author(s): Chenhang Yan, Liping Yan, Yuezu Lv, Yuanqing Xia

Pages: 12993 - 13004

107) Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length

Author(s): Rui Hou, Li Jia, Xuhui Bu, Chengyu Zhou

Pages: 13005 - 13016

108) Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion

Author(s): Jingxiang Yang, Liang Xiao, Yong-Qiang Zhao, Jonathan Cheung-Wai Chan

Pages: 13017 - 13031

109) Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint

Author(s): Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao

Pages: 13032 - 13045

110) Fast Yet Effective Machine Unlearning

Author(s): Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan Kankanhalli

Pages: 13046 - 13055

111) Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression

Author(s): Jinyang Guo, Dong Xu, Wanli Ouyang

Pages: 13056 - 13070

112) Fast Multiview Clustering by Optimal Graph Mining

Author(s): Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li

Pages: 13071 - 13077

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 8, August 2024

1) Memory Prompt for Spatiotemporal Transformer Visual Object Tracking

Author(s): Tianyang Xu;Xiao-Jun Wu;Xuefeng Zhu;Josef Kittler

Pages: 3759 - 3764

2) A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence

Author(s): Justus Renkhoff;Ke Feng;Marc Meier-Doernberg;Alvaro Velasquez;Houbing Herbert Song

Pages: 3765 - 3779

3) A Comprehensive Survey on Graph Summarization With Graph Neural Networks

Author(s): Nasrin Shabani;Jia Wu;Amin Beheshti;Quan Z. Sheng;Jin Foo;Venus Haghighi;Ambreen Hanif;Maryam Shahabikargar

Pages: 3780 - 3800

4) A Survey on Neural Network Hardware Accelerators

Author(s): Tamador Mohaidat;Kasem Khalil

Pages: 3801 - 3822

5) Efficient Structure Slimming for Spiking Neural Networks

Author(s): Yaxin Li;Xuanye Fang;Yuyuan Gao;Dongdong Zhou;Jiangrong Shen;Jian K. Liu;Gang Pan;Qi Xu

Pages: 3823 - 3831

6) A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems

Author(s): Prashant K. Gupta;Deepak Sharma;Javier Andreu-Perez

Pages: 3832 - 3844

7) Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Rajesh M. Hegde

Pages: 3845 - 3857

8) Additive Noise Model Structure Learning Based on Spatial Coordinates

Author(s): Jing Yang;Ting Lu;Youjie Zhu

Pages: 3858 - 3871

9) Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks

Author(s): Abdur R. Shahid;Ahmed Imteaj

Pages: 3872 - 3885

10) Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge

Author(s): Muhammad Zawish;Steven Davy;Lizy Abraham

Pages: 3886 - 3901

11) A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids

Author(s): Abdulaziz Aljohani;Mohammad AlMuhaini;H. Vincent Poor;Hamed M. Binqadhi

Pages: 3902 - 3914

12) Proximal Policy Optimization With Advantage Reuse Competition

Author(s): Yuhu Cheng;Qingbang Guo;Xuesong Wang

Pages: 3915 - 3925

13) Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models

Author(s): Yogesh Kumar;Alexander Ilin;Henri Salo;Sangita Kulathinal;Maarit K. Leinonen;Pekka Marttinen

Pages: 3926 - 3938

14) quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method

Author(s): Snehanshu Saha;Jyotirmoy Sarkar;Soma S. Dhavala;Preyank Mota;Santonu Sarkar

Pages: 3939 - 3950

15) An Attention Augmented Convolution-Based Tiny-Residual UNet for Road Extraction

Author(s): Parmeshwar S. Patil;Raghunath S. Holambe;Laxman M. Waghmare

Pages: 3951 - 3964

16) Encoder–Decoder Calibration for Multimodal Machine Translation

Author(s): Turghun Tayir;Lin Li;Bei Li;Jianquan Liu;Kong Aik Lee

Pages: 3965 - 3973

17) Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Devansh Kumar Jha;Rajesh M. Hegde

Pages: 3974 - 3984

18) Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

Author(s): Amirhossein Ravari;Seyede Fatemeh Ghoreishi;Mahdi Imani

Pages: 3985 - 4000

19) X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams

Author(s): Md Meftahul Ferdaus;Tanmoy Dam;Sameer Alam;Duc-Thinh Pham

Pages: 4001 - 4012

20) Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification

Author(s): Haoyu Wang;Xiaomin Liu

Pages: 4013 - 4025

21) An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection

Author(s): Kun Zhu;Nana Zhang;Weiping Ding;Changjun Jiang

Pages: 4026 - 4041

22) A New Causal Inference Framework for SAR Target Recognition

Author(s): Jiaxiang Liu;Zhunga Liu;Zuowei Zhang;Longfei Wang;Meiqin Liu

Pages: 4042 - 4057

23) Distributed Optimal Formation Control of Multiple Unmanned Surface Vehicles With Stackelberg Differential Graphical Game

Author(s): Kunting Yu;Yongming Li;Maolong Lv;Shaocheng Tong

Pages: 4058 - 4073

24) Boundary-Aware Uncertainty Suppression for Semi-Supervised Medical Image Segmentation

Author(s): Congcong Li;Jinshuo Zhang;Dongmei Niu;Xiuyang Zhao;Bo Yang;Caiming Zhang

Pages: 4074 - 4086

25) Deep Transfer Learning for Detecting Electric Vehicles Highly Correlated Energy Consumption Parameters

Author(s): Zeinab Teimoori;Abdulsalam Yassine;Chaoru Lu

Pages: 4087 - 4100

26) Self-Bidirectional Decoupled Distillation for Time Series Classification

Author(s): Zhiwen Xiao;Huanlai Xing;Rong Qu;Hui Li;Li Feng;Bowen Zhao;Jiayi Yang

Pages: 4101 - 4110

27) Context-Aware Self-Supervised Learning of Whole Slide Images

Author(s): Milan Aryal;Nasim Yahya Soltani

Pages: 4111 - 4120

28) CTRL: Clustering Training Losses for Label Error Detection

Author(s): Chang Yue;Niraj K. Jha

Pages: 4121 - 4135

29) Remote Sensing Image Semantic Segmentation Based on Cascaded Transformer

Author(s): Falin Wang;Jian Ji;Yuan Wang

Pages: 4136 - 4148

30) Text-Guided Portrait Image Matting

Author(s): Yong Xu;Xin Yao;Baoling Liu;Yuhui Quan;Hui Ji

Pages: 4149 - 4162

31) An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT

Author(s): Chong Ma;Zihao Wu;Jiaqi Wang;Shaochen Xu;Yaonai Wei;Zhengliang Liu;Fang Zeng;Xi Jiang;Lei Guo;Xiaoyan Cai;Shu Zhang;Tuo Zhang;Dajiang Zhu;Dinggang Shen;Tianming Liu;Xiang Li

Pages: 4163 - 4175

32) Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Author(s): Zilong Cheng;Jun Ma;Wenxin Wang;Zicheng Zhu;Clarence W. de Silva;Tong Heng Lee

Pages: 4176 - 4191

33) Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation

Author(s): Zhiqiang Li;Qi Zhou;Yang Liu;Hongru Ren;Hongyi Li

Pages: 4192 - 4201

34) Enhance Adversarial Robustness via Geodesic Distance

Author(s): Jun Yan;Huilin Yin;Ziming Zhao;Wancheng Ge;Jingfeng Zhang

Pages: 4202 - 4216

35) Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers

Author(s): Guilherme Dean Pelegrina;Sajid Siraj

Pages: 4217 - 4231

36) Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning

Author(s): Zunayed Mahmud;Paul Hungler;Ali Etemad

Pages: 4232 - 4246

37) Model-Based Online Adaptive Inverse Noncooperative Linear-Quadratic Differential Games via Finite-Time Concurrent Learning

Author(s): Jie Lin;Huai-Ning Wu

Pages: 4247 - 4257

38) Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks

Author(s): Muhammad Anwar Ma'sum;MD Rasel Sarkar;Mahardhika Pratama;Savitha Ramasamy;Sreenatha Anavatti;Lin Liu;Habibullah Habibullah;Ryszard Kowalczyk

Pages: 4258 - 4268

39) Distilled Gradual Pruning With Pruned Fine-Tuning

Author(s): Federico Fontana;Romeo Lanzino;Marco Raoul Marini;Danilo Avola;Luigi Cinque;Francesco Scarcello;Gian Luca Foresti

Pages: 4269 - 4279

40) Multiagent Hierarchical Deep Reinforcement Learning for Operation Optimization of Grid-Interactive Efficient Commercial Buildings

Author(s): Zhiqiang Chen;Liang Yu;Shuang Zhang;Shushan Hu;Chao Shen

Pages: 4280 - 4292

41) Feedback Generative Adversarial Network With Channel-Space Attention for Image-Based Optimal Path Search Planning

Author(s): Tao Sun;Jian-Sheng Li;Yi-Fan Zhang;Xin-Feng Ru;Ke Wang

Pages: 4293 - 4307

IEEE Transactions on Cognitive and Developmental Systems, Volume 16, Issue 4, August 2024

1) User-Aware Multilevel Cognitive Workload Estimation From Multimodal Physiological Signals

Author(s): Pierluigi Vito Amadori, Yiannis Demiris

Pages: 1212 - 1222

2) TR-TransGAN: Temporal Recurrent Transformer Generative Adversarial Network for Longitudinal MRI Dataset Expansion

Author(s): Chen-Chen Fan, Hongjun Yang, Liang Peng, Xiao-Hu Zhou, Shiqi Liu, Sheng Chen, Zeng-Guang Hou

Pages: 1223 - 1232

3) Deep Reinforcement Learning With Multicritic TD3 for Decentralized Multirobot Path Planning

Author(s): Heqing Yin, Chang Wang, Chao Yan, Xiaojia Xiang, Boliang Cai, Changyun Wei

Pages: 1233 - 1247

4) Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition

Author(s): Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu, Jianting Cao

Pages: 1248 - 1259

5) An Improvement Method of Target Tracking Based on Broad Learning System With Scale and Drift Correction

Author(s): Dan Zhang, Tieshan Li, C. L. Philip Chen, Yi Zuo

Pages: 1260 - 1273

6) Evolutionary Niche Artificial Fish Swarm Algorithm for Dynamic Subgroup Size Adjustment in Robot Swarms

Author(s): Zhenlong Xiao, Xin Wang

Pages: 1274 - 1290

7) MIMo: A Multimodal Infant Model for Studying Cognitive Development

Author(s): Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus R. Ernst, Arthur Aubret, Jochen Triesch

Pages: 1291 - 1301

8) QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning

Author(s): Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Min Chen, Shijie Wang

Pages: 1302 - 1314

9) Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Author(s): Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia

Pages: 1315 - 1326

10) Hierarchical Multicontact Motion Planning of Hexapod Robots With Incremental Reinforcement Learning

Author(s): Kaiqiang Tang, Huiqiao Fu, Guizhou Deng, Xinpeng Wang, Chunlin Chen

Pages: 1327 - 1341

11) Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation

Author(s): Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer, P. N. Suganthan

Pages: 1342 - 1351

12) Dual-Graph Contrastive Learning for Unsupervised Person Reidentification

Author(s): Lin Zhang, Ran Song, Yifan Wang, Qian Zhang, Wei Zhang

Pages: 1352 - 1363

13) Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task

Author(s): Jia Liu, Yongjie Zhu, Zheng Chang, Tiina Parviainen, Christian Antfolk, Timo Hämäläinen, Fengyu Cong

Pages: 1364 - 1373

14) Husformer: A Multimodal Transformer for Multimodal Human State Recognition

Author(s): Ruiqi Wang, Wonse Jo, Dezhong Zhao, Weizheng Wang, Arjun Gupte, Baijian Yang, Guohua Chen, Byung-Cheol Min

Pages: 1374 - 1390

15) PLOT: Human-Like Push-Grasping Synergy Learning in Clutter With One-Shot Target Recognition

Author(s): Xiaoge Cao, Tao Lu, Liming Zheng, Yinghao Cai, Shuo Wang

Pages: 1391 - 1404

16) An Electroencephalography-Based Brain–Computer Interface for Emotion Regulation With Virtual Reality Neurofeedback

Author(s): Kendi Li, Weichen Huang, Wei Gao, Zijing Guan, Qiyun Huang, Jin-Gang Yu, Zhu Liang Yu, Yuanqing Li

Pages: 1405 - 1417

17) Depression Detection Using an Automatic Sleep Staging Method With an Interpretable Channel-Temporal Attention Mechanism

Author(s): Jiahui Pan, Jie Liu, Jianhao Zhang, Xueli Li, Dongming Quan, Yuanqing Li

Pages: 1418 - 1432

18) Agree to Disagree: Exploring Partial Semantic Consistency Against Visual Deviation for Compositional Zero-Shot Learning

Author(s): Xiangyu Li, Xu Yang, Xi Wang, Cheng Deng

Pages: 1433 - 1444

19) DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification

Author(s): Zhiwen Xiao, Xin Xu, Huanlai Xing, Bowen Zhao, Xinhan Wang, Fuhong Song, Rong Qu, Li Feng

Pages: 1445 - 1461

20) Compressed Video Anomaly Detection of Human Behavior Based on Abnormal Region Determination

Author(s): Lijun He, Miao Zhang, Hao Liu, Liejun Wang, Fan Li

Pages: 1462 - 1475

21) D-FaST: Cognitive Signal Decoding With Disentangled Frequency–Spatial–Temporal Attention

Author(s): WeiGuo Chen, Changjian Wang, Kele Xu, Yuan Yuan, Yanru Bai, Dongsong Zhang

Pages: 1476 - 1493

22) Brain Connectivity Analysis for EEG-Based Face Perception Task

Author(s): Debashis Das Chakladar, Nikhil R. Pal

Pages: 1494 - 1506

23) Robust Perception-Based Visual Simultaneous Localization and Tracking in Dynamic Environments

Author(s): Song Peng, Teng Ran, Liang Yuan, Jianbo Zhang, Wendong Xiao

Pages: 1507 - 1520

24) EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data

Author(s): Fuqiang Gu, Jiarui Dou, Mingyan Li, Xianlei Long, Songtao Guo, Chao Chen, Kai Liu, Xianlong Jiao, Ruiyuan Li

Pages: 1521 - 1532

25) Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition

Author(s): Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang

Pages: 1533 - 1545

26) Emergence of Human Oculomotor Behavior in a Cable-Driven Biomimetic Robotic Eye Using Optimal Control

Author(s): Reza Javanmard Alitappeh, Akhil John, Bernardo Dias, A. John van Opstal, Alexandre Bernardino

Pages: 1546 - 1560

27) The Inadequacy of Reinforcement Learning From Human Feedback—Radicalizing Large Language Models via Semantic Vulnerabilities

Author(s): Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul Watters, Malka N. Halgamuge

Pages: 1575 - 1588

28) A Two-Stage Foveal Vision Tracker Based on Transformer Model

Author(s): Guang Han, Jianshu Ma, Ziyang Li, Haitao Zhao

Pages: 1575 - 1588

29) Deep Neural Networks for Automatic Sleep Stage Classification and Consciousness Assessment in Patients With Disorder of Consciousness

Author(s): Jiahui Pan, Yangzuyi Yu, Jianhui Wu, Xinjie Zhou, Yanbin He, Yuanqing Li

Pages: 1589 - 1603

30) Attention Mechanism and Out-of-Distribution Data on Cross Language Image Matching for Weakly Supervised Semantic Segmentation

Author(s): Chi-Chia Sun, Jing-Ming Guo, Chen-Hung Chung, Bo-Yu Chen

Pages: 1604 - 1610

31) MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning

Author(s): Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao

Pages: 1611 - 1621

Soft Computing, Volume 28, Issue 15-16, August 2024

1) AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation

Author(s): Luis Madrid-Herrera, Mario I. Chacon-Murguia, Juan A. Ramirez-Quintana

Pages: 8561 - 8577

2) Lung cancer detection and classification using deep neural network based on hybrid metaheuristic algorithm

Author(s): Umesh Prasad, Soumitro Chakravarty, Gyaneshwar Mahto

Pages: 8579 - 8602

3) A new parallel bat colony optimization algorithm and its application for evolving CNN architectures with artificial selection

Author(s): Kanishk Bansal, Amar Singh

Pages: 8603 - 8621

4) Sentiment analysis on labeled and unlabeled datasets using BERT architecture

Author(s): Koyel Chakraborty, Siddhartha Bhattacharyya...Leo Mršić

Pages: 8623 - 8640

5) Estimation of compressive strength of concrete cement using random vector functional link networks: a case study

Author(s): Sarat Chandra Nayak, Subhranginee Das...Sung-Bae Cho

Pages: 8641 - 8656

6) DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach

Author(s): Vahid Mohammadian Takaloo, Mahdi Hashemzadeh, Jalil Ghavidel Neycharan

Pages: 8657 - 8680

7) A phenotype-based multi-objective evolutionary algorithm for maximizing lifetime in wireless sensor networks with bounded hop

Author(s): Bui Hong Ngoc, Nguyen Thi Tam...Le Trong Vinh

Pages: 8681 - 8699

8) TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition

Author(s): Xin-Cheng Wen, Kun-Hong Liu...Liyan Chen

Pages: 8701 - 8713

9) Portfolio dynamic trading strategies using deep reinforcement learning

Author(s): Min-Yuh Day, Ching-Ying Yang, Yensen Ni

Pages: 8715 - 8730

10) Prediction of reinforced concrete walls shear strength based on soft computing-based techniques

Author(s): Alireza Tabrizikahou, Gordana Pavić...Marijana Hadzima-Nyarko

Pages: 8731 - 8747

11) Hybrid intelligent predictive maintenance model for multiclass fault classification

Author(s): Albert Buabeng, Anthony Simons...Yao Yevenyo Ziggah

Pages: 8749 - 8770

12) Computing mixed NE in bimatrix games in randomized polynomial time

Author(s): Lunshan Gao

Pages: 8771 - 8784

13) An improved GM(1,1) forecasting model based on Aquila Optimizer for wind power generation in Sichuan Province

Author(s): Youyang Ren, Lin Xia, Yuhong Wang

Pages: 8785 - 8805

14) Empirical study of evolutionary computation-based multi-objective Bayesian optimization for materials discovery

Author(s): Hiroshi Ohno

Pages: 8807 - 8834

15) Wear indicator construction for rolling bearings based on an enhanced and unsupervised stacked auto-encoder

Author(s): Wenhui Zeng, Lisha Yu...Baigang Du

Pages: 8835 - 8848

16) Introducing a fuzzy task-related connectivity index for BCI systems applications

Author(s): Zahra Tabanfar, Farnaz Ghassemi, Mohammad Hassan Moradi

Pages: 8849 - 8860

17) Binary differential evolution applied to the optimization of the voltage stability margin through the selection of corrective control sets

Author(s): Rafael Martini Silva, Marcelo Favoretto Castoldi...Rodrigo Andrade Ramos

Pages: 8861 - 8887

18) USuperGlue: an unsupervised UAV image matching network based on local self-attention

Author(s): Yatong Zhou, Ya Guo...Lingling Li

Pages: 8889 - 8909

19) Efficient hybrid strategy based on FFT and fuzzy logic techniques applied to fault diagnosis in power transmission line

Author(s): Khaled Omer Mokhtar Touati, Mohamed Boudiaf...Lakhmissi Cherroun

Pages: 8911 - 8930

20) Analysing semi-supervised learning for image classification using compact networks in the biomedical context

Author(s): Adrián Inés, Andrés Díaz-Pinto...Vico Pascual

Pages: 8931 - 8943

21) An effective hybrid attention capsule autoencoder model for diagnosing COVID-19 disease using chest CT scan images in an edge computing environment

Author(s): M. Rambhupal, Persis Voola

Pages: 8945 - 8962

22) Digital image steganography: challenges, investigation, and recommendation for the future direction

Author(s): Alan Anwer Abdulla

Pages: 8963 - 8976

23) Development of elevator vibration data collection system using simple compression encoding algorithm

Author(s): Hsiung-Cheng Lin, Yu-Xiang Hong...Wei-Zhi Chen

Pages: 8977 - 8988

24) New weighted travel time function considering uncertainty and fuzziness based on fuzzy soft set and its application in user equilibrium assignment

Author(s): Huamin Li, Siyu Xiong

Pages: 8989 - 9003

25) An encryption technique based on bilateral chaotic systems and fuzzy symbol encoding

Author(s): Muhammed Jassem Al-Muhammed

Pages: 9005 - 9023

26) Deep residual learning with attention mechanism for breast cancer classification

Author(s): Chean Khim Toa, Mahmoud Elsayed, Kok Swee Sim

Pages: 9025 - 9035

27) A smart hybrid content-defined chunking algorithm for data deduplication in cloud storage

Author(s): Manogar Ellappan, Abirami Murugappan

Pages: 9037 - 9052

Weekly Review 30 August 2024:

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. There is no way AI is going to replace developers in two years, because the code generated by AI has so many security holes that it will never be accepted in industries like finance, health, infrastructure, defense... https://futurism.com/the-byte/aws-ceo-human-devs-ai
2. If this AI is looking at things like tone of voice, then I'd be in big trouble, the accent where I am from doesn't really inflect at all: https://www.stuff.co.nz/business/350384218/jobseeker-interviewed-100-robots-cant-get-dishwasher-work
3. Lots of organisations are trying out generative AI, but time is running out for them to generate a positive return: https://www.datanami.com/2024/08/22/reality-check-for-genai-deloitte-finds-enthusiasm-tempered-by-adoption-hurdles/
4. Still more legal action over AI companies stealing training data: https://www.informationweek.com/machine-learning-ai/anthropic-hit-with-copyright-lawsuit-over-llm-training
5. AI is a tech field, and tech still has a large gender disparity in it. I've noticed more women studying tech over the years, but change is always slow: https://dataconomy.com/2024/08/21/the-complicated-relationship-between-ai-and-gender-equality/
6. AI is a tool, not a god or a magician. It can make decisions, but so can a coin: https://www.theguardian.com/technology/article/2024/aug/24/yuval-noah-harari-ai-book-extract-nexus
7. The obsession with AI might be distracting organisations from the fundamentals of IT services: https://www.theregister.com/2024/08/22/ai_may_be_distracting_organizations/
8. At least someone's still making money out of AI: https://techcrunch.com/2024/08/24/vcs-are-so-eager-for-ai-startups-theyre-buying-into-each-others-spvs-at-high-prices/
9. I've noticed that while Gen Z is very comfortable with using technology, they lack the knowledge of how it works, which limits their engagement with it. So the results of this survey on their attitudes to AI are not surprising to me: https://techcrunch.com/2024/08/21/this-week-in-ai-gen-z-has-mixed-feelings-on-ai/
10. While I've done research myself into the environmental impact of AI, I don't think that's the main thing faculty should be considering. Rather, the ethical issues with students using generative AI: https://www.insidehighered.com/opinion/views/2024/08/22/gen-ai-discussions-must-prioritize-sustainability-opinion
11. Like every other tool, if you want to use generative AI effectively in your organisation, you have to do the preparatory ground work first: https://www.computerworld.com/article/3488668/want-genai-to-deliver-benefits-you-have-a-lot-of-work-to-do-first.html
12. Is artificial general intelligence really worth it? Will it contribute anything useful? In any case, I don't think generative AI is the pathway to it: https://www.theregister.com/2024/08/22/gartner_agi_hype_cycle/
13. AI being used to screen applications generated by AI, putting everyone back to square one: https://www.informationweek.com/machine-learning-ai/the-search-for-solid-hires-between-ai-screening-and-genai-resumes
14. I expect there will be more and more push-back from AI companies about regulation of AI, a lot of them play so fast and loose with ethics and safety that any regulation is a major threat to them: https://techcrunch.com/2024/08/21/openais-opposition-to-californias-ai-law-makes-no-sense-says-state-senator/
15. More push-back from big tech companies on the regulation of AI: https://techcrunch.com/2024/08/23/meta-and-spotify-ceos-criticize-ai-regulation-in-the-eu/
16. Ways AI is being used in HR. As always, bad training data is causing problems: https://www.datasciencecentral.com/how-will-machine-learning-transform-hr-strategies/
17. Generative AI just isn't that useful: https://www.computerworld.com/article/3488589/ive-got-the-genai-blues.html
18. It is possible to get some value out of generative AI, despite its overall lack of usefulness: https://www.datanami.com/2024/08/21/getting-value-out-of-genai/
19. Slack's AI is vulnerable to a prompt injection attack. How many AI share this security flaw? https://www.theregister.com/2024/08/21/slack_ai_prompt_injection/
20. It seems that Europe is not immune to the funding feeding frenzy around AI: https://techcrunch.com/2024/08/24/the-top-ai-deals-in-europe-this-year/
21. Five free courses on AI: https://www.kdnuggets.com/top-5-free-machine-learning-courses-to-level-up-your-skills
22. Disillusionment is starting to set in around generative AI: https://www.datanami.com/2024/08/21/genai-begins-journey-into-trough-of-disillusionment/
23. When AI hallucination meets Rickrolling: https://futurism.com/the-byte/ai-startup-rickrolling
24. Ways in which AI can contribute to research in physics: https://dataconomy.com/2024/08/23/revolutionizing-physics-how-ai-is-transforming-research-and-discovery/
25. The problem with using AI to fake quotes from real people, is that those people get really annoyed when it happens: https://futurism.com/the-byte/megalopolis-trailer-quotes-chatgpt
26. How AI can assist, rather than replace, software developers: https://dataconomy.com/2024/08/23/ai-assistants-for-software-engineers/
27. Ten free courses on generative AI: https://www.kdnuggets.com/10-free-resources-to-learn-llms
28. An improved data centre architecture for training AI: https://www.nextplatform.com/2024/08/23/this-ai-network-has-no-spine-and-thats-a-good-thing/
29. The stock market is essentially random, and AI are not good at predicting randomness: https://futurism.com/the-byte/ai-picking-stocks-faceplanting

Evolving Systems. Volume 15, Issue 5, October 2024

1) Boundary-aware residual network for defect detection in strip steel products

Author(s): Chengcai Hu, Rui Ma...Jinnan Gong

Pages: 1649 - 1663

2) An improved model based on YOLOX for detection of tea sprouts in natural environment

Author(s): Xiutong Li, Ruixin Liu...Benliang Xie

Pages: 1665 - 1679

3) Preference-based experience sharing scheme for multi-agent reinforcement learning in multi-target environments

Author(s): Xuan Zuo, Pu Zhang...Zhun-Ga Liu

Pages: 1681 - 1699

4) Empowering African vultures optimizer using Archimedes optimization algorithm for maximum efficiency for global optimization and feature selection

Author(s): Reham R. Mostafa, Fatma A. Hashim...Ahmed M. Khedr

Pages: 1701 - 1731

5) A novel learning method for feature evolvable streams

Author(s): Yanfei Chen, Sanmin Liu

Pages: 1733 - 1751

6) AEOWOA: hybridizing whale optimization algorithm with artificial ecosystem-based optimization for optimal feature selection and global optimization

Author(s): Reham R. Mostafa, Abdelazim G. Hussien...Fatma A. Hashim

Pages: 1753 - 1785

7) Question answering system with text mining and deep networks

Author(s): Hüseyin Avni Ardaç, Pakize Erdoğmuş

Pages: 1787 - 1799

8) An improved K-means clustering and optimal random forest for scheduling workloads in virtual servers

Author(s): Lourdes Mary Amulu, M. Manjusha, J. Ashok

Pages: 1801 - 1815

9) 3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes

Author(s): Amal Jlassi, Khaoula Elbedoui...Chokri Maktouf

Pages: 1817 - 1843

10) DEES-breast: deep end-to-end system for an early breast cancer classification

Author(s): Ikram Ben Ahmed, Wael Ouarda...khouloud Boukadi

Pages: 1845 - 1863

11) Deep reinforcement learning with positional context for intraday trading

Author(s): Sven Goluža, Tomislav Kovačević...Zvonko Kostanjčar

Pages: 1865 - 1880

12) An efficient convolutional global gated recurrent-based adaptive gazelle algorithm for enhanced disease detection and classification

Author(s): Subramanian Pitchiah Maniraj, Prameeladevi Chillakuru...Sreevardhan Cheerla

Pages: 1881 - 1893

13) Knowledge discovery in weather forecasting: mining fuzzy image association rules with fine-tuned CNN and fuzzy HIFP algorithm

Author(s): Nishtha Parashar, Akhilesh Tiwari, R. K. Gupta

Pages: 1895 - 1906

14) Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA

Author(s): Aboozar Zandvakili, Mohammad Masoud Javidi, Najme Mansouri

Pages: 1907 - 1937

15) CCT-DOSA: a hybrid architecture for road network extraction from satellite images in the era of IoT

Author(s): K. Madhan Kumar, A. Velayudham

Pages: 1939 - 1955

16) Fall detection algorithm based on pyramid network and feature fusion

Author(s): Jiangjiao Li, Mengqi Gao...Bin Li

Pages: 1957 - 1970

17) Evaluating renewable energy projects using fuzzy bipolar soft aggregation and entropy weights

Author(s): Taikun Li, Yonghui Lin...Muhammad Rahim

Pages: 1971 - 1988

18) Correction: Sign language mobile apps: a systematic review of current app evaluation progress and solution framework

Author(s): Dianes David, A. H. Alamoodi...Juliana Chen

Pages: 1989 - 1989

Weekly Review 23 August 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. Large-scale AI needs large-scale nuclear power, but there are regulatory issues with getting the electricity from the power plants to the data centres: https://spectrum.ieee.org/amazon-data-center-nuclear-power 
2. Is the collective noun of AI driven taxis a "Gaggle" or a "Honk"? https://futurism.com/the-byte/robotaxis-gather-honk-all-night 
3. As generative AI gets better and better, how long before these AI-generated stories become impossible to detect? https://www.huffpost.com/entry/cody-enterprise-reporter-resigns-after-using-artificial-intelligence_n_66bcc610e4b03da4fc01b2d3 
4. Orwell got it wrong, it's not Big Brother who's watching you, it's AI: https://www.leightonassociates.co.nz/post/ai-is-watching-you-all-shift-long 
5. Using AI to decode the signals from a brain implant, to allow people to communicate again: https://dataconomy.com/2024/08/15/ai-helps-als-patient-speak-again/ 
6. Blaming remote work for Google falling behind in AI is like blaming a soldier's boots for losing a battle - ultimately, responsibility lies with the leaders: https://www.theregister.com/2024/08/15/googles_exceo_steps_back_from/
7. AI is like any other product, if it doesn't function, or isn't useful, then it's pointless: https://futurism.com/the-byte/google-demo-gemini-ai-tech-fail 
8. This technique might slightly reduce AI hallucinations, but it doesn't solve the underlying problem, which is an AI has no concept of what the words it spits out actually represent: https://www.computerworld.com/article/3487262/researchers-tackle-ai-fact-checking-failures-with-new-llm-training-technique.html 
9. You can't just add more AI to try to correct an AI that is broken because of bad data: https://www.computerworld.com/article/3487242/agentic-rag-ai-more-marketing-hype-than-tech-advance.html 
10. How to get started in a position training AI: https://dataconomy.com/2024/08/15/get-started-with-ai-training-jobs/ 
11. This newspaper doesn't even try to hide the fact its articles are generated by AI: https://futurism.com/entirely-ai-generated-news-site 
12. A new licensing deal means that actors will get a say in what their AI clones say and do: https://www.theregister.com/2024/08/15/actors_union_ai_voice_clone/ 
13. I wonder how many of these AI generated job applications are being filtered by AI? https://futurism.com/the-byte/recruiters-ai-generated-job-cvs 
14. How AI can automate the process of developing a brain connectome: https://www.extremetech.com/science/mit-scientists-detangle-the-brain-with-new-open-source-ai 
15. Replacing writers with AI without telling the editors - the long, slow decline towards AI generated mediocrity continues:  https://www.theregister.com/2024/08/15/robot_took_my_job/ 
16. More AI-based interference in elections, this time by Iran: https://www.theverge.com/2024/8/16/24221982/openai-iranian-chatgpt-accounts-banned-chatgpt-us-election 
17. Achieving general AI is not a matter to throwing more and more processing power at the problem, there needs to be a fundamental shift in the model used: https://futurism.com/the-byte/agi-supercomputer 
18. When an AI can change the parameters of its own execution, we need strong guardrails: https://arstechnica.com/information-technology/2024/08/research-ai-model-unexpectedly-modified-its-own-code-to-extend-runtime/ 
19. The AI bubble seems to be following the same trajectory as the Internet bubble of the late 90s. I expect what will happen is a lot of AI companies will go under, and the ones that provide useful services will survive: https://www.datanami.com/2024/08/14/is-the-genai-bubble-finally-popping/ 
20. AI technology will get to the point that it is useful in high school level teaching, but we're not there yet: https://futurism.com/high-school-starts-replacing-teachers-ai 
21. I don't think it's a good idea for companies to be driving changes to laws, especially laws that are supposed to protect the public from the problems that AI can cause: https://www.theregister.com/2024/08/16/california_ai_safety_bill/ 
22. This approach of stealing all the data they can get and training their AI on it has to stop, it's legally questionable and does not produce good AI: https://www.theverge.com/2024/8/14/24220658/google-eric-schmidt-stanford-talk-ai-startups-openai 
23. This is the kind of AI that is likely to survive the AI bubble bursting - it's fairly simple, straightforward, and useful: https://www.computerworld.com/article/3485725/ai-and-ar-can-supercharge-ambient-computing.html