Enhancing Software Defect Prediction Using Ensemble Techniques and Diverse Machine Learning Paradigms by Ayesha Siddika, Momotaz Begum, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim

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PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization by Mikyung Kang, Sooyon Seo, Moohong Min

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Advancing Additive Manufacturing Through Machine Learning Techniques: A State-of-the-Art Review by Shaoping Xiao, Junchao Li, Zhaoan Wang, Yingbin Chen, Soheyla Tofighi

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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

Subjects: “…Semi-supervised object detection…”
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Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection by Md Tahsin, Maksura Binte Rabbani Nuha, Sumaiya Akter, Al Hossain, Mohammad Rifat Ahmmad Rashid, Raiha Ul Islam, Mohammad Shahadat Hossain

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An in-depth exploration of supervised and semi-supervised learning on face recognition by Purnawansyah, Wibawa Aji Prasetya, Widiyaningtyas Triyanna, Haviluddin, Darwis Herdianti, Azis Huzain

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Building Arabic Speech Recognition System Using HuBERT Model and Studying the Sources of Errors [Arabic] by Rima Sbih, Assef Jafar, Ali Kazem

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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

Subjects: “…Integration of Unsupervised and Supervised learning…”
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Separated and Independent Contrastive Semi-Supervised Learning for Imbalanced Datasets by Dongyoung Kim, Won-Sook Lee, Young-Woong Ko, Jeong-Gun Lee

Subjects: “…Semi-supervised learning…”
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A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation by Xinyue Zhang, Jianfeng Wang, Jinqiao Wei, Xinyu Yuan, Ming Wu

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Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples by Min Gu Kwak, Hyungu Kahng, Seoung Bum Kim

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A FixMatch Framework for Alzheimer’s Disease Classification: Exploring the Trade-Off Between Supervision and Performance by Al Hossain, Umme Hani Konok, MD Tahsin, Raihan Ul Islam, Mohammad Rifat Ahmmad Rashid, Mohammad Shahadat Hossain, Karl Andersson

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A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network by Nannan Chong, Fan Yang, Kewei Wei

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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

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Proposal of self and semi-supervised learning for imbalanced classification of coronary heart disease tabular data by Danny Xie-Li, Manfred González-Hernández

Subjects: “…self-supervised learning…”
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Training strategies for semi-supervised remote sensing image captioning by Qimin Cheng, Haojun Cheng, Linfeng Yuan, Yingjie Du, Saifei Tu, Yuqi Xu

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Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification by Yajin Huang, Yuncan Chen, Shimin Xu, Dongyan Wu, Xunyi Wu

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Forecasting Megaelectron‐Volt Electrons Inside Earth's Outer Radiation Belt: PreMevE 2.0 Based on Supervised Machine Learning Algorithms by Rafael Pires de Lima, Yue Chen, Youzuo Lin

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Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation by Bangfa Jiang, Chengkun Liu, Jing Chai

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A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training by Jie Wei, Yao Zheng, Dong Huang, Yang Liu, Xiaopan Xu, Hongbing Lu

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