Soft Computing. Volume 29, Issue 5, March 2025

1) Channel boosted convolutional neural network with segnet based segmentation for an automatic prediction of thyroid cancer

Author(s): Leelavathi Arepalli, Venkata Rao Kasukiurthi, Madhavi Dabbiru

Pages: 2399 - 2415

2) Improving learning material repositories using student profiles

Author(s): Natalie Ferraz Silva Bravo, André Ferreira Martins...Jairo Francisco de Souza

Pages: 2417 - 2431

3) Multi-objective DOA estimation in automotive radar using a Sailfish optimizer with Latin hypercube sampling

Author(s): Geetha P, Satyasai Jagannath Nanda, Rajendra Prasad Yadav

Pages: 2433 - 2461

4) Correction to: Multi-objective DOA estimation in automotive radar using a Sailfish optimizer with Latin hypercube sampling

Author(s): Geetha P, Satyasai Jagannath Nanda, Rajendra Prasad Yadav

Pages: 2463 - 2463

5) Genetic algorithm based data controlling method using IoT enabled WSNs

Author(s): Samayveer Singh, Aridaman Singh Nandan...Pradeep Kumar Singh

Pages: 2465 - 2482

6) Photovoltaic power one-day and multistep-hourly AI predictions using node-by-node evolved binomial tree structures to form L-transformed PDE modules

Author(s): Ladislav Zjavka

Pages: 2483 - 2495

7) Monkeypox data enhancement and diagnosis using improved DCGAN

Author(s): Jinaga Tulasiram, Balaji Banothu, S. Nickolas

Pages: 2497 - 2513

8) Correction to: Deployment method of wireless sensor networks based on MaOEA/P-GM algorithm

Author(s): Jun Wang, Dongxu Luo...Zhiwu Li

Pages: 2515 - 2515

Weekly Review 25 April 2025

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

1. How AI can help with taxes and financial planning: https://www.bigdatawire.com/2025/04/18/the-transformative-role-of-ai-in-financial-planning-and-tax-preparation/
2. Actors who sold their likenesses for AI avatars are regretting doing so: https://arstechnica.com/ai/2025/04/regrets-actors-who-sold-ai-avatars-stuck-in-black-mirror-esque-dystopia/
3. AI is widely used in the New Zealand public sector, mostly because it helps them with their work: https://www.rnz.co.nz/news/political/558081/ai-widely-used-in-public-sector-survey-finds
4. One-bit neural network weights, to reduce the memory footprints of large AI: https://arstechnica.com/ai/2025/04/microsoft-researchers-create-super%e2%80%91efficient-ai-that-uses-up-to-96-less-energy/
5. The role of Chief AI Officer is expected to become more prominent in coming years: https://www.informationweek.com/machine-learning-ai/how-will-the-role-of-chief-ai-officer-evolve-in-2025-
6. How AI is affecting the creative professions: https://www.nzherald.co.nz/nz/how-ais-latest-advancements-could-reshape-creative-professions-the-front-page/NVIPGTLUR5GVFDBUN4FWJW23EE/
7. AI agent hallucinates new policy, upsets users to the point of cancelling subscriptions: https://arstechnica.com/ai/2025/04/cursor-ai-support-bot-invents-fake-policy-and-triggers-user-uproar/
8. AI models get more advanced, but they just hallucinate more: https://techcrunch.com/2025/04/18/openais-new-reasoning-ai-models-hallucinate-more/
9. Wikipedia got so hammered by AI training bots scraping the site, they have released a data set optimised for training AI to Kaggle: https://www.theverge.com/news/650467/wikipedia-kaggle-partnership-ai-dataset-machine-learning
10. Google is using AI to block scammers' ads: https://arstechnica.com/gadgets/2025/04/google-used-ai-to-block-three-times-more-fraudulent-advertisers-in-2024/
11. A New Zealand charity is using AI chatbots to help veterans: https://www.rnz.co.nz/news/national/558481/charity-launches-ai-chatbot-therapy-service-for-veterans
12. Organisations need to move strategically when rolling out AI, rather than rushing into it: https://www.informationweek.com/machine-learning-ai/the-ai-fomo-trap-build-guardrails-for-the-gold-rush
13. AI hardware is using so much power that its driving advances in cooling technology for data centres: https://www.techrepublic.com/article/news-data-centers-power-cooling-ai/
14. Google's AI is learning to speak dolphin: https://www.extremetech.com/science/new-google-llm-aims-to-translate-dolphin-language
15. Microsoft's Copilot AI is getting quite annoying: https://www.theregister.com/2025/04/18/microsoft_copilot_not_wanted/
16. A new approach to combat prompt injection attacks against generative AI: https://arstechnica.com/information-technology/2025/04/researchers-claim-breakthrough-in-fight-against-ais-frustrating-security-hole/
17. The key to employing AI effectively in marketing is to carefully train the model: https://dataconomy.com/2025/04/17/training-your-ai-not-just-your-team-a-marketers-guide-to-smarter-campaigns/
18. The idea of 'adjusting' - read reducing - AI guardrails because a competitor has done so is rather frightening: https://techcrunch.com/2025/04/15/openai-says-it-may-adjust-its-safety-requirements-if-a-rival-lab-releases-high-risk-ai/
19. Seeding AI with misinformation is being used more and more by bad actors: https://www.stuff.co.nz/world-news/360659194/russia-seeds-chatbots-lies-and-any-bad-actor-could-game-ai-same-way
20. While greater efficiencies in AI can allow more to be done for the same amount of energy, the demand is not necessarily there to do so: https://www.economist.com/finance-and-economics/2025/01/30/tech-tycoons-have-got-the-economics-of-ai-wrong
21. I wouldn't describe it as 'thinking with pictures' as AI don't really 'think': https://www.computerworld.com/article/3964968/open-ais-new-models-can-think-with-pictures.html
22. AI companies are fine with stealing other people's work, but hate it when someone does the same to them: https://www.theregister.com/2025/04/14/miyazaki_ai_and_intellectual_property/
23. Could the use of screenshots help AI learn what is important to users? https://www.theverge.com/ai-artificial-intelligence/650809/screenshots-apps-ai-pixel-nothing
24. A framework for constructing voice AI agents: https://www.kdnuggets.com/the-easiest-way-to-create-real-time-ai-voice-agents

Weekly Review 18 April 2025

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

1. How you can use AI to help when you are made redundant: https://www.informationweek.com/machine-learning-ai/7-ways-generative-ai-can-help-you-survive-a-layoff No mention of what to do if it is the AI that makes you redundant, though.
2. Personalising user interfaces using AI: https://www.datasciencecentral.com/how-ai-driven-personalization-is-transforming-user-interface-design/
3. Predicting disasters by integrating geospatial data with AI: https://dataconomy.com/2025/04/09/googles-new-ai-could-predict-disasters-before-they-hit/
4. Is doge using AI to spy on government employees? I wouldn't be surprised: https://www.theguardian.com/us-news/ng-interactive/2025/apr/10/elon-musk-doge-spying
5. Yes, AI can predict traffic accidents. I had a student do it for Auckland a while ago: https://www.datasciencecentral.com/can-ai-predict-traffic-accidents/
6. AI can be told to show their reasoning, but now they are lying about it: https://arstechnica.com/ai/2025/04/researchers-concerned-to-find-ai-models-hiding-their-true-reasoning-processes/
7. Some guidelines for how teachers can deal with students using AI inappropriately: https://www.edutopia.org/article/responding-student-ai-use
8. Remember, if your AI system is really contractors in the Philippines, it's fraud: https://techcrunch.com/2025/04/10/fintech-founder-charged-with-fraud-after-ai-shopping-app-found-to-be-powered-by-humans-in-the-philippines/
9. Current AI make good advisors, but humans should always be making the final decision. But people are lazy, so they probably will just do what the machine tells them: https://www.informationweek.com/machine-learning-ai/when-should-human-decision-making-overrule-ai-
10. AI don't have value systems, they need guardrails: https://techcrunch.com/2025/04/09/mit-study-finds-that-ai-doesnt-in-fact-have-values/
11. The security problems around AI: https://www.informationweek.com/cyber-resilience/what-are-the-biggest-blind-spots-for-cios-in-ai-security-
12. The New Zealand military is allowed to use killer drones, but AI can't make the kill decisions: https://www.rnz.co.nz/news/national/557573/there-should-always-be-a-human-in-charge-defence-minister-on-nzdf-s-killer-drones
13. Fixing the robots.txt protocol to keep AI scraper bots out: https://www.theregister.com/2025/04/09/ietf_ai_preferences_working_group/
14. As more AI incorporate reasoning into their models, benchmarking them becomes more expensive: https://techcrunch.com/2025/04/10/the-rise-of-ai-reasoning-models-is-making-benchmarking-more-expensive/
15. Automating marking of high school writing assessments using AI: https://www.rnz.co.nz/news/national/557671/artificial-intelligence-exam-marking-on-the-way-for-year-10-writing-tests
16. AI can't replace barristers, but they can help them out: https://www.stuff.co.nz/business/360641260/ai-having-high-performing-junior-lawyer-says-leading-barrister
17. Meta's benchmarks for its new AI are misleading. Colour me surprised: https://techcrunch.com/2025/04/06/metas-benchmarks-for-its-new-ai-models-are-a-bit-misleading/
18. Ways in which AI is being used in financial planning: https://www.bigdatawire.com/2025/04/08/how-ai-and-ml-will-change-financial-planning/
19. If they're going to use AI to regrant benefits, they need to thoroughly check their training data for bias first: https://www.rnz.co.nz/news/political/557600/ministry-of-social-development-to-use-basic-ai-to-check-if-jobseekers-have-met-their-obligations
20. Do we just have to learn to live with hallucinations from AI? https://www.bigdatawire.com/2025/04/07/can-we-learn-to-live-with-ai-hallucinations/
21. Using AI to raise money for charity: https://techcrunch.com/2025/04/08/a-nonprofit-is-using-ai-agents-to-raise-money-for-charity/
22. As of 2025, AI are getting smarter, more money is being spent on them, and people are worrying more about them: https://www.techrepublic.com/article/news-stanford-2025-ai-index/
23. AI might be cool, but don't try to use it in court, judges don't like it: https://www.theverge.com/news/646372/ai-lawyer-artificial-avatar-new-york-court-case-video
24. An overview of transformers, the basis of generative AI: https://www.kdnuggets.com/wtf-is-a-transformer

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 4, April 2025

1) Fuzzy Model Predictive Formation Maneuver Control of Multi-AAVs With Interval Output-Constrained

Author(s): Zhixu Du, Hao Zhang, Zhuping Wang, Huaicheng Yan

Pages: 1106 - 1119/

2) Wasserstein Distributionally Robust Equilibrium Optimization Under Random Fuzzy Environment for the Electric Vehicle Routing Problem

Author(s): Fanghao Yin, Yi Zhao

Pages: 1120 - 1132

3) Adaptive Fuzzy Tracking Control for a Class of Uncertain Nonlinear Systems With Improved Prescribed Performance

Author(s): Faxiang Zhang, Pengshuai Dai, Jing Na, Guanbin Gao, Yu Shi, Fei Liu

Pages: 1133 - 1145

4) Disturbance Suppression for Fuzzy Repetitive-Control Systems Using an Enhanced Equivalent-Input-Disturbance Method

Author(s): Manli Zhang, Chengda Lu, Shengnan Tian, Yibing Wang, Min Wu, Makoto Iwasaki

Pages: 1146 - 1157

5) Hybrid-Dependent Event-Triggered Schemes for T–S Fuzzy Memristive NNs With Nondifferentiable Delay

Author(s): Jing Ping, Song Zhu, Weiwei Luo, Zhen Zhang, Shiping Wen, Chaoxu Mu

Pages: 1158 - 1167

6) Protocol-Based Sampled-Data Control for T-S Fuzzy Reaction–Diffusion Neural Networks

Author(s): Jun Cheng, Na Liu, Leszek Rutkowski, Jinde Cao, Huaicheng Yan

Pages: 1168 - 1177

7) Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics

Author(s): Dianhui Wang, Gang Dang

Pages: 1178 - 1191

8) A Novel Dynamic Event-Triggered Fuzzy Adaptive Prescribed-Time Tracking Control for Nonstrict Feedback Nonlinear Systems With Unknown Control Directions

Author(s): Yana Yang, Xiaoshi Liu, Changchun Hua, Xiaolei Li

Pages: 1192 - 1204

9) Adaptive Fuzzy Consistent Pseudoinverse Control for a Class of Constrained Nonlinear Multiagent Systems and Its Application

Author(s): Guoqiang Zhu, Xuecheng Zhang, Xiuyu Zhang, Chenguang Yang, Xinkai Chen, Chun-Yi Su

Pages: 1205 - 1218

10) Adaptive Fuzzy Degradation Perception Based on CLIP Prior for All-in-One Image Restoration

Author(s): Mingwen Shao, Yuexian Liu, Yuanshuo Cheng, Yecong Wan, Changzhong Wang

Pages: 1219 - 1230

11) Predictor-Based Fuzzy Optimal Tracking Control With Enhanced Transient Estimation and Learning Performance for Nonlinear Systems

Author(s): Shuhang Yu, Huaguang Zhang, Jiayue Sun, Xiaohui Yue

Pages: 1231 - 1240

12) Sliding Flexible Prescribed Performance Control for Input Saturated Nonlinear Systems

Author(s): Yangang Yao, Yu Kang, Yunbo Zhao, Jieqing Tan, Lichuan Gu, Guolong Shi

Pages: 1241 - 1252

13) Fuzzy-Rough Bireducts With Supervised Multiscale Granulation

Author(s): Zhihong Wang, Hongmei Chen, Huming Liao, Tengyu Yin, Biao Xiang, Shi-Jinn Horng, Tianrui Li

Pages: 1253 - 1264

14) An Improved Fuzzy Recurrent Stochastic Configuration Network for Modeling Nonlinear Systems

Author(s): Gang Dang, Dianhui Wang

Pages: 1265 - 1276

15) Dynamic Event-Triggered-Based Fuzzy Adaptive Pinning Control for Multiagent Systems With Output Saturation

Author(s): Hongru Ren, Liang Cao, Hui Ma, Hongyi Li

Pages: 1277 - 1286

16) Deep Fuzzy System for Dual-Station Target Tracking With Azimuth and Doppler Measurements

Author(s): Jianjun Huang, Xuehao Geng, Li Kang, Ge Luo

Pages: 1287 - 1297

17) Command Filter-Based Predefined-Time Adaptive Fuzzy Control for High-Order Nonlinear Interconnected Systems With Input Quantization

Author(s): Lin Zhao, Shuai Sui, Tengfei Liu, Chun-Lung Philip Chen

Pages: 1298 - 1310

18) Learning Operator-Valued Kernels From Multilabel Datesets With Fuzzy Rough Sets

Author(s): Zhenxin Wang, Degang Chen, Xiaoya Che

Pages: 1311 - 1321

19) Event-Triggered Data-Driven Iterative Learning Control for Nonlinear MASs Under Switching Topologies

Author(s): Shanshan Sun, Yuan-Xin Li, Zhongsheng Hou

Pages: 1322 - 1332

20) Predefined-Time Fuzzy Formation Control for High-Order Multiagent Systems via Event-Triggered Schemes

Author(s): Jiawei Ma, Huaguang Zhang, Juan Zhang, Lei Wan

Pages: 1333 - 1342

21) Small-Gain-Based Fixed-Time Faulty Parameter Estimation for the Interconnected Fuzzy Systems With Multiple Time-Varying Delays

Author(s): Ke Zhang, Qingyi Liu, Bin Jiang

Pages: 1343 - 1356

22) Dynamic Fuzzy Sampler for Graph Neural Networks

Author(s): Jia Wei, Xingjun Zhang, Witold Pedrycz, Weiping Ding

Pages: 1357 - 1368

23) Decentralized Type-2 Fuzzy Event-Triggered Control for Nonlinear Switched Interconnected Systems With Actuator and Sensor Faults

Author(s): Jing Zhang, Zhengrong Xiang, Xiangyu Chu, Kwok Wai Samuel Au

Pages: 1369 - 1378

24) A Fuzzy Measure and Choquet Integral-Based Approach in the Predictive Knowledge-Based Systems: Application to the Electricity Demand Forecasting

Author(s): M. Rostam Niakan Kalhori, Gleb Beliakov

Pages: 1379 - 1390

25) Label-Informed Outlier Detection Based on Granule Density

Author(s): Baiyang Chen, Zhong Yuan, Dezhong Peng, Hongmei Chen, Xiaomin Song, Huiming Zheng

Pages: 1391 - 1401

Weekly Review 11 April 2025

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

1. Human educators are still better than AI chatbots, but the gap is narrowing: https://www.datasciencecentral.com/how-do-ai-chatbots-compare-to-human-educators/
2. I don't think that relying on AI to fact check news is necessarily a good idea: https://dataconomy.com/2025/04/02/broadcast-journalists-ai-real-time-fact-checking/
3. More evidence that AI are being trained on copyrighted works without permission: https://dataconomy.com/2025/04/02/openai-might-have-trained-its-ai-on-stolen-books/
4. The adaptive abilities of AI chatbots are making them essential for business: https://dataconomy.com/2025/04/03/are-ai-agents-the-new-must-have/
5. AI training data bots are now scraping Wikipedia so much that the entire site is under threat: https://arstechnica.com/information-technology/2025/04/ai-bots-strain-wikimedia-as-bandwidth-surges-50/
6. Applications of AI in cinema: https://www.datasciencecentral.com/creative-applications-of-ai-in-cinema/
7. All the ways artificial general intelligence could ruin the world, and how to stop it doing so: https://arstechnica.com/ai/2025/04/google-deepmind-releases-its-plan-to-keep-agi-from-running-wild/
8. So if you want to hack Gemini AI, use Gemini AI? https://arstechnica.com/security/2025/03/geminiding-hackers-can-deliver-more-potent-attacks-with-a-helping-hand-from-gemini/
9. A list of the current lea AI models and what they're good for: https://techcrunch.com/2025/03/30/the-hottest-ai-models-what-they-do-and-how-to-use-them/
10. The race to get AI to college students: https://www.theverge.com/ai-artificial-intelligence/641193/openai-anthropic-education-tool-college
11. Why AI tend to hallucinate: https://arstechnica.com/ai/2025/03/why-do-llms-make-stuff-up-new-research-peers-under-the-hood/
12. It's OK for AI to be stupid. But when stupid people use what AI says to set policy, we have real problems: https://arstechnica.com/tech-policy/2025/04/critics-suspect-trumps-weird-tariff-math-came-from-chatbots/
13. Do AI generated twins of models mean less work for models in the future? Maybe not for live fashion shows, but for everything else? https://www.theguardian.com/fashion/2025/mar/30/fashion-models-ai-job-losses
14. AI researchers in the USA are more optimistic about AI than the general public: https://arstechnica.com/tech-policy/2025/04/survey-americans-fear-ai-will-hurt-them-experts-expect-the-opposite/
15. While Google's AI search is working reasonably well, they are struggling to make money from it: https://www.computerworld.com/article/3951907/the-future-of-ai-search-is-googles-to-lose.html
16. An open standard to connect AI: https://arstechnica.com/information-technology/2025/04/mcp-the-new-usb-c-for-ai-thats-bringing-fierce-rivals-together/
17. OpenAI is not following copyright rules when it comes to scraping AI training data: https://www.theregister.com/2025/04/03/openai_copyright_bypass/
18. If you want to future-proof your AI, you need to keep your data in good order: https://www.informationweek.com/machine-learning-ai/when-it-comes-to-futureproofing-ai-it-s-all-about-the-data
19. Building large AI is now so expensive, a lot of providers are going to get wiped out. In other words, the AI bubble is close to bursting: https://www.theregister.com/2025/03/31/llm_providers_extinction/
20. Biased data results in biased models. This is a fundamental principle of AI yet it still creeps into models everywhere: https://dataconomy.com/2025/04/03/the-llm-wears-prada-why-ai-still-shops-in-stereotypes/
21. ​Anthropic's Claude AI is being introduced to campuses in the USA, offering a 'Learning mode' that guides students through reasoning rather than providing direct answers: https://dataconomy.com/2025/04/03/claude-ai-is-coming-to-a-campus-near-you/
22. I feel that OpenAI's valuation being greater than McDonald's is a pretty strong signal that the AI bubble is peaking: https://dataconomy.com/2025/04/02/openai-is-now-worth-more-than-mcdonalds/
23. AI movie generators are improving, now they can maintain continuity between scenes: https://www.theverge.com/news/640821/runway-gen-4-artificial-intelligence-video-generator-filmmaking
24. The difference between training and inference in AI: https://www.kdnuggets.com/training-vs-inference-the-ultimate-alliance

AI After the Bust

I was a postgraduate student when the dot com mania hit. Everyone was trying to start an online business, and investors were throwing fistfuls of cash at anyone with a shonky business plan and a page of HTML. Of course, in 2000 it all went bad, the bubble burst in the (in)famous dot-bomb crash. And a lot of dot com companies disappeared. Many years ago I read the book "Dot Bomb" by J. David Kuo that described how this happened with the internet company Value America. Part of that book's subtitle was along the lines of "from lunatic optimism, to panic and crash"

There is a similar bubble now with AI. Everyone is shovelling AI into their products, or they're starting an AI company that pushes their own twist on large language models, or they're trying to find a way to insert AI into their operations just to be able to say they use AI.

The bubble is going to burst. And when it does, a lot of AI companies are going to get taken out.

So does this mean the end of AI?

Well, no. When the dot com bubble burst, a lot of internet companies were taken out, but other companies survived. These are the companies that actually provided useful services, like Google, or sold products people actually wanted, like Amazon, or facilitated small commercial operations like eBay and TradeMe.  Since then, they have become part of the fabric of our existence, part of the background hum of our lives. And other internet companies have also arisen that build on the idea that if you do something useful, in a way that makes it easy for money to get to you, money will get to you. 

In my opinion, the same principle applies to AI. Those AI companies that provide a useful service, in such a way that money can easily get to them, will continue to make money and will thrive. Those companies that do not do these things will not survive. The lunatic optimism will fade away, just as it did with the dot coms. And the panic that accompanies a crash will fade away. And those that survive the crash, will keep going, and AI will be just become part of the background hum of our lives.

IEEE Transactions on Evolutionary Computation, Volume 29, Issue 2, April 2025

1) Knowledge Structure Preserving-Based Evolutionary Many-Task Optimization

Author(s): Yi Jiang, Zhi-Hui Zhan, Kay Chen Tan, Sam Kwong, Jun Zhang

Pages: 287 - 301

2) Bayesian Optimization for Quality Diversity Search With Coupled Descriptor Functions

Author(s): Paul Kent, Adam Gaier, Jean-Baptiste Mouret, Juergen Branke

Pages: 302 - 316

3) Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing

Author(s): Fei Liu, Qingfu Zhang, Qingling Zhu, Xialiang Tong, Mingxuan Yuan

Pages: 317 - 330

4) LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics

Author(s): Niki van Stein, Thomas Bäck

Pages: 331 - 345

5) Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem

Author(s): Yuquan Wang, Naiming Xie, Nanlei Chen, Hui Ma, Gang Chen

Pages: 346 - 359

6) Genetic Multi-Armed Bandits: A Reinforcement Learning Inspired Approach for Simulation Optimization

Author(s): Deniz Preil, Michael Krapp

Pages: 360 - 374

7) A Novel Knowledge-Based Genetic Algorithm for Robot Path Planning in Complex Environments

Author(s): Junfei Li, Yanrong Hu, Simon X. Yang

Pages: 375 - 389

8) A Biased Random Key Genetic Algorithm for Solving the Longest Common Square Subsequence Problem

Author(s): Jaume Reixach, Christian Blum, Marko Djukanović, Günther R. Raidl

Pages: 390 - 403

9) Decoupling Constraint: Task Clone-Based Multitasking Optimization for Constrained Multiobjective Optimization

Author(s): Genghui Li, Zhenkun Wang, Weifeng Gao, Ling Wang

Pages: 404 - 417

10) Protein Design by Directed Evolution Guided by Large Language Models

Author(s): Thanh V. T. Tran, Truong Son Hy

Pages: 418 - 428

11) Multiform Genetic Programming Framework for Symbolic Regression Problems

Author(s): Jinghui Zhong, Junlan Dong, Wei-Li Liu, Liang Feng, Jun Zhang

Pages: 429 - 443

12) Causal Inference-Based Large-Scale Multiobjective Optimization

Author(s): Bingdong Li, Yanting Yang, Peng Yang, Guiying Li, Ke Tang, Aimin Zhou

Pages: 444 - 458

13) A Bidirectional Differential Evolution-Based Unknown Cyberattack Detection System

Author(s): Hanyuan Huang, Tao Li, Beibei Li, Wenhao Wang, Yanan Sun

Pages: 459 - 473

14) MOTEA-II: A Collaborative Multiobjective Transformation-Based Evolutionary Algorithm for Bilevel Optimization

Author(s): Lei Chen, Yiu-Ming Cheung, Hai-Lin Liu, Yutao Lai

Pages: 474 - 489

15) From Direct to Directional Variable Dependencies—Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems

Author(s): Michal Witold Przewozniczek, Bartosz Frej, Marcin Michal Komarnicki

Pages: 490 - 504

16) A Two-Individual Evolutionary Algorithm for Cumulative Capacitated Vehicle Routing With Single and Multiple Depots

Author(s): Yuji Zou, Jin-Kao Hao, Qinghua Wu

Pages: 505 - 518

17) Gradient-Guided Local Search for Large-Scale Hypervolume Subset Selection

Author(s): Yang Nan, Tianye Shu, Hisao Ishibuchi, Ke Shang

Pages: 519 - 533

18) Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Author(s): Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan

Pages: 534 - 554

19) Zeroth-Order Actor–Critic: An Evolutionary Framework for Sequential Decision Problems

Author(s): Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng

Pages: 555 - 569

IEEE Transactions on Cognitive and Developmental Systems, Volume 17, Issue 2, April 2025

1) Programmable Bionic Control Circuit Based on Central Pattern Generator

Author(s): Qinghui Hong, Qing Li, Jia Li, Jingru Sun, Sichun Du

Pages: 233 - 246

2) Biomimetic Spiking Neural Network Based on Monolayer 2-D Synapse With Short-Term Plasticity for Auditory Brainstem Processing

Author(s): Jieun Kim, Peng Zhou, Unbok Wi, Bomin Joo, Donguk Choi, Myeong-Lok Seol, Sravya Pulavarthi, Linfeng Sun, Heejun Yang, Woo Jong Yu, Jin-Woo Han, Sung-Mo Kang, Bai-Sun Kong

Pages: 247 - 258

3) UAV Coverage Path Planning of Multiple Disconnected Regions Based on Cooperative Optimization Algorithms

Author(s): Yang Lyu, Shuyue Wang, Tianmi Hu, Quan Pan

Pages: 259 - 270

4) Multimodal Emotion Fusion Mechanism and Empathetic Responses in Companion Robots

Author(s): Xiaofeng Liu, Qincheng Lv, Jie Li, Siyang Song, Angelo Cangelosi

Pages: 271 - 286

5) Location Reasoning of Target Objects Based on Human Common Sense and Robot Experiences

Author(s): Yueguang Ge, Yinghao Cai, Shuo Wang, Shaolin Zhang, Tao Lu, Haitao Wang, Junhang Wei

Pages: 287 - 302

6) Brain Compensatory Mechanisms During the Prolonged Cognitive Task: fNIRS and Eye-Tracking Study

Author(s): A. A. Badarin, V. M. Antipov, V. V. Grubov, A. V. Andreev, E. N. Pitsik, S. A. Kurkin, A. E. Hramov

Pages: 303 - 314

7) Pretrained Dynamics Learning of Numerous Heterogeneous Robots and Gen2Real Transfer

Author(s): Dengpeng Xing, Yiming Yang, Jiale Li

Pages: 315 - 327

8) Progressive-Learning-Based Assist-as-Needed Control for Ankle Rehabilitation

Author(s): Kun Qian, Zhenhong Li, Yihui Zhao, Jie Zhang, Xianwen Kong, Samit Chakrabarty, Zhiqiang Zhang, Sheng Quan Xie

Pages: 328 - 339

9) Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease

Author(s): Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang

Pages: 340 - 351

10) A Behavioral Decision-Making Model of Learning and Memory for Mobile Robot Triggered by Curiosity

Author(s): Dongshu Wang, Qi Liu, Xulin Gao, Lei Liu

Pages: 352 - 365

11) CCANet: Cross-Modality Comprehensive Feature Aggregation Network for Indoor Scene Semantic Segmentation

Author(s): Zhang Zihao, Yang Yale, Hou Huifang, Meng Fanman, Zhang Fan, Xie Kangzhan, Zhuang Chunsheng

Pages: 366 - 378

12) Neighborhood-Curiosity-Based Exploration in Multiagent Reinforcement Learning

Author(s): Shike Yang, Ziming He, Jingchen Li, Haobin Shi, Qingbing Ji, Kao-Shing Hwang, Xianshan Li

Pages: 379 - 389

13) Edge-Centric Functional-Connectivity-Based Cofluctuation-Guided Subcortical Connectivity Network Construction

Author(s): Qinrui Ling, Aiping Liu, Taomian Mi, Piu Chan, Xun Chen

Pages: 390 - 399

14) The Methodology of Quantitative Social Intention Evaluation and Robot Gaze Behavior Control in Multiobjects Scenario

Author(s): Haoyu Zhu, Xiaorui Liu, Hang Su, Wei Wang, Jinpeng Yu

Pages: 400 - 409

15) Fatigue State Recognition System for Miners Based on a Multimodal Feature Extraction and Fusion Framework

Author(s): Hongguang Pan, Shiyu Tong, Xuqiang Wei, Bingyang Teng

Pages: 410 - 420

16) Touch Gesture Recognition-Based Physical Human–Robot Interaction for Collaborative Tasks

Author(s): Dawoon Jung, Chengyan Gu, Junmin Park, Joono Cheong

Pages: 421 - 435

17) Graph-Laplacian-Processing-Based Multimodal Localization Backend for Robots and Autonomous Systems

Author(s): Nikos Piperigkos, Christos Anagnostopoulos, Aris S. Lalos, Petros Kapsalas, Duong Van Nguyen

Pages: 436 - 453

Weekly Review 4 April 2025

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

1. The latest version of DALL-E is frighteningly good: https://arstechnica.com/ai/2025/03/openais-new-ai-image-generator-is-potent-and-bound-to-provoke/
2. Tools for fighting fake AI generated images: https://www.bigdatawire.com/2025/03/24/defending-against-ai-powered-deepfakes/
3. Changing accents with AI: https://techcrunch.com/2025/03/26/krisp-launches-a-dubbing-feature-to-change-accent-of-the-speaker-during-a-call/ And the scammers are going to love it.
4. Siloing of data is inhibiting the growth of AI in organisations: https://www.informationweek.com/machine-learning-ai/how-data-silos-impact-ai-and-agents
5. The issues around attribution and ownership of AI generated art: https://dataconomy.com/2025/03/26/ai-creativity-and-the-challenge-of-attribution/
6. Another overview of what AI is: https://www.extremetech.com/computing/what-is-ai-artificial-intelligence-generative-ai
7. The Chinese government is using AI to improve its ability to censor news it doesn't like: https://techcrunch.com/2025/03/26/leaked-data-exposes-a-chinese-ai-censorship-machine/
8. If you run a generative AI extension in your browser, it is probably stealing your data: https://www.theregister.com/2025/03/25/generative_ai_browser_extensions_privacy/
9. Venture capital and other funding options for AI: https://www.datasciencecentral.com/how-ai-and-data-science-startups-can-leverage-venture-capital-and-secondary-markets/
10. How to get better results from generative AI: https://www.computerworld.com/article/3853747/the-secret-to-using-generative-ai-effectively.html
11. Microsoft has released some AI-powered security tools: https://www.theregister.com/2025/03/24/microsoft_security_copilot_agents/
12. Some predicted impacts of AI in the next ten years: https://dataconomy.com/2025/03/27/how-will-ai-shape-the-next-decade/
13. The UK government wants to use more AI, but their IT infrastructure is so old it can't handle it: https://www.theregister.com/2025/03/26/legacy_systems_uk_ai/
14. New research shows how it is possible to simulate a spiking neural network with only two transistors per neuron: https://arstechnica.com/science/2025/03/researchers-get-spiking-neural-behavior-out-of-a-pair-of-transistors/
15. Workers are starting to see AI as coworkers, but are worried about being excluded from the benefits AI bring: https://www.informationweek.com/machine-learning-ai/how-data-silos-impact-ai-and-agents
16. Microsoft releases AI for business research and analysis: https://www.theregister.com/2025/03/27/microsoft_365_copilot_reasoning_agents/
17. The problems with using AI in news reporting: https://www.theguardian.com/technology/2025/mar/22/we-need-to-set-the-terms-or-were-all-screwed-how-newsrooms-are-tackling-ais-uncertainties-and-opportunities
18. An overview of industrial AI: https://dataconomy.com/2025/03/26/the-rise-of-specialized-industrial-ai/
19. An AI dental assistant: https://dataconomy.com/2025/03/27/deepcares-ai-reveals-mountains-in-your-moles/
20. Web hosts of open source projects are fighting back against AI crawlers: https://techcrunch.com/2025/03/27/open-source-devs-are-fighting-ai-crawlers-with-cleverness-and-vengeance/
21. When you are learning how to use AI, you need some data sets to try out. Here are some sources of data: https://www.kdnuggets.com/where-do-we-get-our-data-a-tour-of-data-sources-with-examples
22. The copyright issues around generative AI are going to keep lawyers busy for a very long time: https://techcrunch.com/2025/03/26/openais-viral-studio-ghibli-moment-highlights-ai-copyright-concerns/
23. More on Microsoft's security AI: https://www.theverge.com/news/634598/microsoft-security-copilot-ai-agents
24. More on how outdated IT infrastructure is hindering the adoption of AI by the UK government: https://www.computerworld.com/article/3855620/as-big-tech-circles-uk-government-struggles-to-reap-promised-ai-benefits.html

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 4, April 2025

1) Consistent Counterfactual Explanations via Anomaly Control and Data Coherence

Author(s): Maria Movin, Federico Siciliano, Rui Ferreira, Fabrizio Silvestri, Gabriele Tolomei

Pages: 794 - 804

2) Adversarial Masked Autoencoders Are Robust Vision Learners

Author(s): Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami

Pages: 805 - 815

3) Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences

Author(s): Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

Pages: 816 - 828

4) Safe Multiagent Reinforcement Learning With Bilevel Optimization in Autonomous Driving

Author(s): Zhi Zheng, Shangding Gu

Pages: 829 - 842

5) Analyzing Hierarchical Relationships and Quality of Embedding in Latent Space

Author(s): Ankita Chatterjee, Jayanta Mukherjee, Partha Pratim Das

Pages: 843 - 858

6) HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks

Author(s): Xiaoxu Han, Xin Mu, Jinghui Zhong

Pages: 859 - 873

7) Active Robust Adversarial Reinforcement Learning Under Temporally Coupled Perturbations

Author(s): Jiacheng Yang, Yuanda Wang, Lu Dong, Lei Xue, Changyin Sun

Pages: 874 - 884

8) FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models

Author(s): Subhodip Panda, A.P. Prathosh

Pages: 885 - 895

9) Multiobjective Optimization for Traveling Salesman Problem: A Deep Reinforcement Learning Algorithm via Transfer Learning

Author(s): Le-yang Gao, Rui Wang, Zhao-hong Jia, Chuang Liu

Pages: 896 - 908

10) LoRaDIP: Low-Rank Adaptation With Deep Image Prior for Generative Low-Light Image Enhancement

Author(s): Zunjin Zhao, Daming Shi

Pages: 909 - 920

11) DGeC: Dynamically and Globally Enhanced Convolution

Author(s): Zihang Zhang, Yuling Liu, Zhili Zhou, Gaobo Yang, Xin Liao, Q. M. Jonathan Wu

Pages: 921 - 933

12) CH-Net: A Cross Hybrid Network for Medical Image Segmentation

Author(s): Jiale Li, Aiping Liu, Wei Wei, Ruobing Qian, Xun Chen

Pages: 934 - 944

13) APR-Net: Defense Against Adversarial Examples Based on Universal Adversarial Perturbation Removal Network

Author(s): Wenxing Liao, Zhuxian Liu, Minghuang Shen, Riqing Chen, Xiaolong Liu

Pages: 945 - 954

14) A Scalable Unsupervised and Back Propagation Free Learning With SACSOM: A Novel Approach to SOM-Based Architectures

Author(s): Gaurav R. Hirani, Kevin I-Kai Wang, Waleed H. Abdulla

Pages: 955 - 967

15) CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation

Author(s): Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya

Pages: 968 - 978

16) Industrial Process Monitoring Based on Deep Gaussian and Non-Gaussian Information Fusion Framework

Author(s): Zhiqiang Ge

Pages: 979 - 988

17) A Temporal–Spatial Graph Network With a Learnable Adjacency Matrix for Appliance-Level Electricity Consumption Prediction

Author(s): Dandan Li, Jiaxing Xia, Jiangfeng Li, Changjiang Xiao, Vladimir Stankovic, 

Lina Stankovic, Qingjiang Shi

Pages: 989 - 1002

18) Data-Driven Event-Triggered Control for Discrete-Time Neural Networks Subject to Actuator Saturation

Author(s): Yanyan Ni, Zhen Wang, Xia Huang, Hao Shen

Pages: 1003 - 1013

19) Aperiodically Intermittent Control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

Author(s): Yuxin Jiang, Song Zhu, Mouquan Shen, Shiping Wen, Chaoxu Mu

Pages: 1014 - 1023

20) Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement

Author(s): Yuhao Qing, Yueying Wang, Huaicheng Yan, Xiangpeng Xie, Zhengguang Wu

Pages: 1024 - 1037

21) ClusVPR: Efficient Visual Place Recognition With Clustering-Based Weighted Transformer

Author(s): Yifan Xu, Pourya Shamsolmoali, Masoume Zareapoor, Jie Yang

Pages: 1038 - 1049

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 9, Issue 2, April 2025

1) IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection

Author(s): Qing Guo, Ruofei Wang, Rui Huang, Renjie Wan, Shuifa Sun, Yuxiang Zhang

Pages: 1093 - 1106

2) CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution

Author(s): Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, Ke Qin

Pages: 1107 - 1118

3) Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding

Author(s): Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Pages: 1119 - 1129

4) A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction

Author(s): Jian Cheng, Tian Zhang, Shuang Zhang, Huimin Ren, Guo Yu, Xiliang Zhang, Shangce Gao, Lianbo Ma

Pages: 1130 - 1142

5) Adaptive Q-Learning Based Model-Free H∞ Control of Continuous-Time Nonlinear Systems: Theory and Application

Author(s): Jun Zhao, Yongfeng Lv, Zhangu Wang, Ziliang Zhao

Pages: 1143 - 1152

6) CCO: A Cluster Core-Based Oversampling Technique for Improved Class-Imbalanced Learning

Author(s): Priyobrata Mondal, Faizanuddin Ansari, Swagatam Das

Pages: 1153 - 1165

7) Content-Aware Caching at the Mobile Edge Network Using Federated Learning

Author(s): Anirban Lekharu, Avik Samanta, Arijit Sur, Moumita Patra

Pages: 1166 - 1176

8) Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction

Author(s): Meng Ma, Hongping Gan

Pages: 1177 - 1188

9) PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer

Author(s): Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang

Pages: 1189 - 1201

10) Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation

Author(s): Fan Li, Hang Zhou, Huafeng Li, Yafei Zhang, Zhengtao Yu

Pages: 1202 - 1215

11) A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities

Author(s): Adyasha Sahu, Pradeep Kumar Das, Indraneel Paul, Sukadev Meher

Pages: 1216 - 1225

12) A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets

Author(s): Emrah Hancer, Bing Xue, Mengjie Zhang

Pages: 1226 - 1237

13) A Novel Immune Algorithm for Multiparty Multiobjective Optimization

Author(s): Kesheng Chen, Wenjian Luo, Qi Zhou, Yujiang liu, Peilan Xu, Yuhui Shi

Pages: 1238 - 1252

14) A Novel Sparrow Search Scheme Based on Enhanced Differential Evolution Operator

Author(s): Zewei Liu, Chunqiang Hu, Tao Xiang, Pengfei Hu, Xingwang Li, Jiguo Yu

Pages: 1253 - 1268

15) Adaptive Non-Homogeneous Granulation-Aided Density-Based Deep Feature Clustering for Far Infrared Sign Language Images

Author(s): Pritam Paral, Saibal Ghosh, Sankar K. Pal, Amitava Chatterjee

Pages: 1269 - 1280

16) Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine

Author(s): Rahul Sharma, Tripti Goel, M Tanveer, Mujahed Al-Dhaifallah

Pages: 1281 - 1291

17) MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint

Author(s): Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao

Pages: 1292 - 1306

18) Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment

Author(s): Yanghe Zou, Peilan Xu, Hao Dai, Heng Song, Wenjian Luo

Pages: 1307 - 1321

19) Memetic Differential Evolution With Adaptive Niching Selection and Diversity-Driven Strategies for Multimodal Optimization

Author(s): Yufeng Feng, Weiguo Sheng, Zidong Wang, Gang Xiao, Qi Li, Li Li, Zuling Wang

Pages: 1322 - 1339

20) Class Discriminative Knowledge Distillation

Author(s): Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng

Pages: 1340 - 1351

21) Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions

Author(s): Xiaoxu Jiang, Qingda Chen, Jinliang Ding, Xingyi Zhang

Pages: 1352 - 1366

22) Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume

Author(s): Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang

Pages: 1367 - 1378

23) An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data

Author(s): Di Wu, Yuanpeng Hu, Kechen Liu, Jing Li, Xianmin Wang, Song Deng, Nenggan Zheng, Xin Luo

Pages: 1379 - 1391

24) Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation

Author(s): Xiaohua Wu, Lin Li, Xiaohui Tao, Jingling Yuan, Haoran Xie

Pages: 1392 - 1405

25) Population Stream-Driven Scalable Evolutionary Many-Objective Optimization

Author(s): Huangke Chen, Guohua Wu, Rui Wang, Witold Pedrycz

Pages: 1406 - 1417

26) Binary Classification From M-Tuple Similarity-Confidence Data

Author(s): Junpeng Li, Jiahe Qin, Changchun Hua, Yana Yang

Pages: 1418 - 1427

27) AdaFML: Adaptive Federated Meta Learning With Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks

Author(s): Qiaomei Han, Xianbin Wang, Weiming Shen, Yanjun Shi

Pages: 1428 - 1440

28) Trustworthy Federated Fine-Tuning for Industrial Chains Demand Forecasting

Author(s): Guoquan Huang, Guanyu Lin, Li Ning, Yicheng Xu, Chee Peng Lim, Yong Zhang

Pages: 1441 - 1453

29) MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease

Author(s): Jiayu Ye, Dan Pan, An Zeng, Yiqun Zhang, Qiuping Chen, Yang Liu

Pages: 1454 - 1468

30) Optimized Leader-Follower Consensus Control of Multi-QUAV Attitude System Using Reinforcement Learning and Backstepping

Author(s): Guoxing Wen, Yanfen Song, Zijun Li, Bin Li

Pages: 1469 - 1479

31) Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns

Author(s): Guobin Shen, Dongcheng Zhao, Yi Zeng

Pages: 1480 - 1489

32) A Tunable Framework for Joint Trade-Off Between Accuracy and Multi-Norm Robustness

Author(s): Haonan Zheng, Xinyang Deng, Wen Jiang

Pages: 1490 - 1501

33) A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring

Author(s): Tuhinangshu Gangopadhyay, Tanushree Meena, Debojyoti Pal, Sudipta Roy

Pages: 1502 - 1513

34) TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive

Author(s): Xiaoqian Jiang, Jing Zhang, Ming Wu, Victor S. Sheng

Pages: 1514 - 1526

35) Deep Learning Quantitative Susceptibility Mapping With Reduced Training Time Based on Local Field Transformation

Author(s): Ming-Long Wu, De-Rong Huang, Jhih-Shan Cheng

Pages: 1527 - 1538

36) ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement

Author(s): Hai Wang, Guirong Zhang, Long Chen, Yicheng Li, Tong Luo, Yingfeng Cai

Pages: 1539 - 1555

37) Evolutionary Neural Architecture Search for Transferable Networks

Author(s): Xun Zhou, Songbai Liu, A. K. Qin, Kay Chen Tan

Pages: 1556 - 1568

38) TSK Fuzzy System Optimization for High-Dimensional Regression Problems

Author(s): Zhenhua Shi, Shuang Huang, Lihua Wu, Qiang Zhang, Xiangpeng Zhang, Yahao Cao, Yuanbao Chen, Yunfei Lv

Pages: 1569 - 1580

39) Adversarial Attention Networks for Early Action Recognition

Author(s): Hong-Bo Zhang, Wei-Xiang Pan, Ji-Xiang Du, Qing Lei, Yan Chen, Jing-Hua Liu

Pages: 1581 - 1594

40) Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms

Author(s): Liang Ran, Huaqing Li, Lifeng Zheng, Jun Li

Pages: 1595 - 1609

41) Causal Feature Selection With Imbalanced Data

Author(s): Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Bingbing Jiang, Kui Yu, Xindong Wu

Pages: 1610 - 1626

42) CSP-Lite: Real-Time and Efficient Keypoint-Based Pedestrian Detection

Author(s): Yisong Jia, Huihui Pan, Jue Wang, Weichao Sun

Pages: 1627 - 1637

43) Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis

Author(s): Xun Shen, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara

Pages: 1638 - 1649

44) Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games

Author(s): Jin Yu, Ya Zhang, Changyin Sun

Pages: 1650 - 1658

45) Multi-Medium Image Enhancement With Attentive Deformable Transformers

Author(s): Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala

Pages: 1659 - 1672

46) A Novel Hypercomplex Graph Convolution Refining Mechanism

Author(s): Jingchao Wang, Guoheng Huang, Guo Zhong, Xiaochen Yuan, Chi-Man Pun, Jinxun Wang, Jianqi Liu

Pages: 1673 - 1687

47) Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph

Author(s): Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai

Pages: 1688 - 1698

48) Optimal Cooperative Control of Multi-Agent Systems Through Event-Triggered Model-Free Reinforcement Learning

Author(s): Chaoxu Mu, Zhuo Tang, Ke Wang

Pages: 1699 - 1711

49) SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection

Author(s): Kaixuan Li, Shibo Jiang, Rui Zhang, Jianfeng Qiu, Lei Zhang, Lixia Yang, Fan Cheng

Pages: 1712 - 1727

50) Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering

Author(s): Zixiao Yu, Lele Fu, Yongyong Chen, Zhiling Cai, Guoqing Chao

Pages: 1728 - 1742

51) MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation

Author(s): Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zhe-Rui Yang, Xiao-Dong Liao, Chang-Dong Wang, Min Chen

Pages: 1743 - 1755

52) ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging

Author(s): Qi Liu, Jie Wei, Thomas Penzel, Maarten De Vos, Yuan Zhang, Zhiyi Huang, Mikhail Poluektov, Yulan Zhu, Chenyu Li

Pages: 1756 - 1765

53) Simultaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dictionary for Color Image Denoising

Author(s): Zheng Zhou, Yongyong Chen, Yicong Zhou

Pages: 1766 - 1779

54) End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation

Author(s): Xinyao Liu, Junchang Xin, Qi Shen, Chuangang Li, Zhihong Huang, Zhiqiong Wang

Pages: 1780 - 1794

55) Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information

Author(s): Qi Lai, Chi-Man Vong, Sai-Qi Shi, C.L. Philip Chen

Pages: 1795 - 1804

56) Multi-Hop Reasoning With Relation Based Node Quality Evaluation for Sparse Medical Knowledge Graph

Author(s): Tian Zhang, Jian Cheng, Lijie Miao, Hanning Chen, Qing Li, Qiang He, Jianhui Lyu, Lianbo Ma

Pages: 1805 - 1816

57) Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering

Author(s): Hangjun Che, Chenglu Li, Man-Fai Leung, Deqiang Ouyang, Xiangguang Dai, Shiping Wen

Pages: 1817 - 1829

58) Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors

Author(s): Liping Sun, Fan Huang, Xiaoyao Zheng, Liangmin Guo, Qingying Yu, Zhenghua Chen, Yonglong Luo

Pages: 1830 - 1842

59) Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward

Author(s): Zhe Peng, Zhifeng Lu, Xiao Mao, Feng Ye, Kuihua Huang, Guohua Wu, Ling Wang

Pages: 1843 - 1859

60) Utilizing a DenseSwin Transformer Model for the Classification of Maize Plant Pathology in Early and Late Growth Stages: A Case Study of Its Utilization Among Zambian Farmers

Author(s): Chiuzu Chilumbu, Qi-Xian Huang, Hung-Min Sun

Pages: 1860 - 1872

61) Dual-Scale Attributed Graph Transformer for Extracting Spatial-Temporal Features With Applications in Quality Index Prediction

Author(s): Kesheng Zhang, Wen Yu, Tianyou Chai

Pages: 1873 - 1884

62) Event Causal Relation Extraction in Brain Connectomics: A Model Utilizing Weighted Joint Constrained Learning

Author(s): Lianfang Ma, Jianhui Chen, Jiajin Huang, Yiyu Yao, Ning Zhong

Pages: 1885 - 1896

63) DeepPCC: Learned Lossy Point Cloud Compression

Author(s): Junzhe Zhang, Gexin Liu, Junteng Zhang, Dandan Ding, Zhan Ma

Pages: 1897 - 1909

64) A Novel Attention-Based Dynamic Multi-Graph Spatial-Temporal Graph Neural Network Model for Traffic Prediction

Author(s): Chunyan Diao, Dafang Zhang, Wei Liang, Man Jiang, Kuanching Li

Pages: 1910 - 1923

65) The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++

Author(s): Yang Sen, Wang Zhenmin, Song Wenlong, Yang Changqun

Pages: 1924 - 1933

66) Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning

Author(s): Amit Kumar Bhuyan, Hrishikesh Dutta, Subir Biswas

Pages: 1934 - 1946

67) Generative Probabilistic Meta-Learning for Few-Shot Image Classification

Author(s): Meijun Fu, Xiaomin Wang, Jun Wang, Zhang Yi

Pages: 1947 - 1960

68) Simultaneous Segmentation and Classification of Esophageal Lesions Using Attention Gating Pyramid Vision Transformer

Author(s): Peixuan Ge, Tao Yan, Pak Kin Wong, Zheng Li, In Neng Chan, Hon Ho Yu, Chon In Chan, Liang Yao, Ying Hu, Shan Gao

Pages: 1961 - 1975

69) Leaders and Collaborators: Addressing Sparse Reward Challenges in Multi-Agent Reinforcement Learning

Author(s): Shaoqi Sun, Hui Liu, Kele Xu, Bo Ding

Pages: 1976 - 1989

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80) Predicting Side Effect of Drug Molecules Using Recurrent Neural Networks

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