A Deep Learning Approach for Identifying User Communities Based on Geographical Preferences and Its Applications to Urban and Environmental Planning by Ferreira, Danielle L., Nunes, Bruno A. A., Campos, Carlos Alberto V., Obraczka, Katia

A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation by Zhang, Xinyue, Wang, Jianfeng, Wei, Jinqiao, Yuan, Xinyu, Wu, Ming

Traffic Prediction with Self-Supervised Learning: A Heterogeneity-Aware Model for Urban Traffic Flow Prediction Based on Self-Supervised Learning by Gao, Min, Wei, Yingmei, Xie, Yuxiang, Zhang, Yitong

Scale-out acceleration for machine learning by Park, Jongse, Sharma, Hardik, Mahajan, Divya, Kim, Joon Kyung, Olds, Preston, Esmaeilzadeh, Hadi

Topology identification in distribution system via machine learning algorithms by Razmi, Peyman, Ghaemi Asl, Mahdi, Canarella, Giorgio, Emami, Afsaneh Sadat

GreenQMedNet: Reducing Computational Footprint in Medical Data Analysis Through Explainable Quantum Hybridization by Kottahachchi kankanamge Don, Asitha, Khalil, Ibrahim

Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash by Malladi, Rama K.

A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings by Kabir, Sami, Hossain, Mohammad Shahadat, Andersson, Karl

LEAF: Navigating Concept Drift in Cellular Networks by Liu, Shinan, Bronzino, Francesco, Schmitt, Paul, Bhagoji, Arjun Nitin, Feamster, Nick, Crespo, Hector Garcia, Coyle, Timothy, Ward, Brian

SMAR: self-supervised mobile application recommendation based on graph convolutional networks by Fu, Zhongxiang, Cao, Buqing, Liu, Shanpeng, Peng, Qian, Peng, Zhenlian, Shi, Min, Liu, Shangli

Machine Learning for Photocatalytic Materials Design and Discovery by Obada, David O, Akinpelu, Shittu B, Abolade, Simeon A, Kekung, Mkpe O, Oka, Emmanuel, Syam, Kumar R, Ukpong, Aniekan M, Akande Akinlolu

Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation by Zi-an, Zhao, Xiu-fang, Feng, Xiao-qiang, Ren, Yun-yun, Dong

A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning by Luo, Hao, Li, Haobo, Tao, Wei, Yang, Yi, Ieong, Chio-In, Wan, Feng

Federated learning: Applications, challenges and future directions by Bharati, Subrato, Mondal, M. Rubaiyat Hossain, Podder, Prajoy, Prasath, V.B. Surya

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges by Hassannataj Joloudari, Javad, Mojrian, Sanaz, Saadatfar, Hamid, Nodehi, Issa, Fazl, Fatemeh, Khanjani Shirkharkolaie, Sahar, Alizadehsani, Roohallah, Kabir, H. M. Dipu, Tan, Ru-San, Acharya, U. Rajendra

Multi-Stage Robust Federated Learning: Addressing Label Noise under Data Heterogeneity and Imbalance by Wang, Kaibo, Zhang, Anqi, Liu, Tangyou, Zhang, Wenqian, Zhang, Guanglin

Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? by Mastropaolo, Antonio, Di Penta, Massimiliano, Bavota, Gabriele

A Self‐Supervised Learning Framework for Seismic Low‐Frequency Extrapolation by Cheng, Shijun, Wang, Yi, Zhang, Qingchen, Harsuko, Randy, Alkhalifah, Tariq

A Review of the Current Task Offloading Algorithms, Strategies and Approach in Edge Computing Systems by Acheampong, Abednego, Zhang, Yiwen, Xu, Xiaolong, Appiah Kumah, Daniel

Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning by Bianchi, Stefano, Muñoz-Martin, Irene, Ielmini, Daniele