1) A map-reduce algorithm to find strongly connected components of directed graphs Author(s): Fujun Ji, Jidong Jin Pages: 1947 - 1966 2) Complex preference analysis: a score-based evaluation strategy for ranking and comparison of the evolutionary algorithms Author(s): Debojyoti Sarkar, Anupam Biswas Pages: 1967 - 1980 3) Weighted rank aggregation based on ranker accuracies for feature selection Author(s): Majid Abdolrazzagh-Nezhad, Mahdi Kherad Pages: 1981 - 2001 4) Exploring diversity and time-aware recommendations: an LSTM-DNN model with novel bidirectional dynamic ti ..read more

1) Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks Author(s): Yanwei Pang, Fahad Shahbaz Khan, Xin Lu, Fabio Cuzzolin Pages: 3886 - 3889 2) Decision Fusion Networks for Image Classification Author(s): Keke Tang, Yuexin Ma, Dingruibo Miao, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang Pages: 3890 - 3903 3) ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks Author(s): Yuanduo Hong, Huihui Pan, Yisong Jia, Weichao Sun, Huijun Gao Pages: 3904 - 3915 4) Modulated Convolutional Network ..read more

1) Fair Machine Learning in Healthcare: A Survey Author(s): Qizhang Feng, Mengnan Du, Na Zou, Xia Hu Pages: 493 - 507 2) Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding Author(s): Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Brian M. Sadler, Alec Koppel Pages: 508 - 517 3) An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations Author(s): Ye Tian, Luke Ji, Yiwei Hu, Haiping Ma, Le Wu, Xingyi Zhang Pages: 518 - 532 4) Deep-Learning-Based Uncertainty-Estimation Approach for Unknown Traffi ..read more

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): An AI that can grade maths problems like a teacher: https://dataconomy.com/2025/03/07/can-ai-grade-math-like-a-teacher-research-says-yes/ At least some tech executives recognise the dangers to privacy that AI pose: https://techcrunch.com/2025/03/07/signal-president-meredith-whittaker-calls-out-agentic-ai-as-having-profound-security-and-privacy-issues/ Looks like a bit of a messy free for all in terms of legislation on AI in the US: https ..read more

1) Cl2sum: abstractive summarization via contrastive prompt constructed by LLMs hallucination Author(s): Xiang Huang, Qiong Nong, Xuan Zhang 2) Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis Author(s): Abdelhadi Limane, Farouq Zitouni, Ali Wagdy Mohamed 3) A novel three-way distance-based fuzzy large margin distribution machine for imbalance classification Author(s): Li Liu, Jinrui Guo, Guojun Huang 4) Control strategy of robotic manipulator based on multi-task reinforcement learning Author(s): Tao Wang, Ziming Ruan, Chong Chen 5) Tailor ..read more

1) Guest Editorial: Operationalizing Responsible AI Author(s): Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse Khomh Pages: 252 - 253 2) Ethical Aspects of ChatGPT in Software Engineering Research Author(s): Muhammad Azeem Akbar, Arif Ali Khan, Peng Liang Pages: 254 - 267 3) FedDGA: Federated Multitask Learning Based on Dynamic Guided Attention Author(s): Haoyun Sun, Hongwei Zhao, Liang Xu, Weishan Zhang, Hongqing Guan, Su Yang Pages: 268 - 280 4) FairCompass: Operationalizing Fairness in Machine Learning Author(s): Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raym ..read more

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): AI aren't empathetic, but they are starting to be able to fake it: https://dataconomy.com/2025/02/27/ai-is-advancing-but-can-chatbots-understand-human-feelings/ Event-driven AI agents: https://www.bigdatawire.com/2025/02/26/the-future-of-ai-agents-is-event-driven/ A new AI medium-range weather prediction system: https://www.computerworld.com/article/3832755/new-european-ai-model-to-improve-weather-forecasting.html The real benchmark for ..read more

1) Exploring the Potential of Fuzzy Sets in Cyborg Enhancement: A Comprehensive Review Author(s): Hang Su, Salih Ertug Ovur, Zhaoyang Xu, Samer Alfayad Pages: 810 - 827 2) Hierarchical Rule-Base Reduction Fuzzy Control for Path Tracking Variable Linear Speed Differential Steer Vehicles Author(s): Samuel R. Dekhterman, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu Pages: 828 - 841 3) Complete Synchronization of Discrete-Time Fractional-Order T-S Fuzzy Complex-Valued Neural Networks With Time Delays and Uncertainties Author(s): Rong Chen, Hong-Li Li, Heng Liu, Haijun Jia ..read more

1) Some new construction methods of similarity measure on picture fuzzy sets Author(s): Minxia Luo, Jianlei Gao, Wenling Li Pages: 1273 - 1287 2) Arithmetic optimization algorithm with cosine transform-based two-dimensional composite chaotic mapping Author(s): Yi-Xuan Li, Jie-Sheng Wang, Xin-Ru Ma Pages: 1289 - 1329 3) A new approach data processing: density-based spatial clustering of applications with noise (DBSCAN) clustering using game-theory Author(s): Uranus Kazemi, Seyfollah Soleimani Pages: 1331 - 1346 4) Predictor–corrector approach for the numerical solution of ..read more

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): Use of scraped data to train an AI is not "transformative" for the purposes of copyright law: https://techcrunch.com/2025/02/17/what-the-us-first-major-ai-copyright-ruling-might-mean-for-ip-law/ Seems like a consequence of AI constantly learning is that they undergo a decline similar to aging humans: https://www.extremetech.com/computing/ai-models-experience-cognitive-decline-as-they-age-study AI won't put data analysts out of a job, but ..read more