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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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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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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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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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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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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Contrastive Self-Supervised Learning for Sensor-Based Human Activity Recognition: A Review by Hui Chen, Charles Gouin-Vallerand, Kevin Bouchard, Sebastien Gaboury, Melanie Couture, Nathalie Bier, Sylvain Giroux

Subjects: “…Self-supervised learning…”
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Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges by Flaviu-Ioan Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

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Generalization in context sensitive grammars by Andrzej PLUCIŃSKI

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A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL by Beal Ryan, Norman Timothy J., Ramchurn Sarvapali D.

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Enhancing Sentiment and Emotion Classification with LSTM-Based Semi-Supervised Learning by Rochmat Husaini, Nur Heri Cahyana, Wisnalmawati Wisnalmawati, Tri Mardiana, Yuli Fauziah

Subjects: “…semi-supervised learning…”
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Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach by Mehdi Fasihi, Mirko Sodini, Alex Falcon, Francesco Degano, Paolo Sivilotti, Giuseppe Serra

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