Moderately supervised learning: definition, framework and generality by Yang, Yongquan

Federated Learning and EEL-Levy Optimization in CPS ShieldNet Fusion: A New Paradigm for Cyber–Physical Security by Manogaran, Nalini, Shankar, Yamini Bhavani, Nandagopal, Malarvizhi, Su, Hui-Kai, Kuo, Wen-Kai, Ravichandran, Sanmugasundaram, Seerangan, Koteeswaran

ML-Based Teaching Systems: A Conceptual Framework by Spitzer, Philipp, Kühl, Niklas, Heinz, Daniel, Satzger, Gerhard

Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees by Hussein, Dina, Belkhouja, Taha, Bhat, Ganapati, Doppa, Janardhan Rao

Predictive modeling of oil and water saturation during secondary recovery with supervised learning by Sulaiman, Muhammad, Khan, Naveed Ahmad

A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping by Lucas, Benjamin, Pelletier, Charlotte, Schmidt, Daniel, Webb, Geoffrey I., Petitjean, François

Visualizing Street Pavement Anomalies through Fog Computing V2I Networks and Machine Learning by Bustamante-Bello, Rogelio, García-Barba, Alec, Arce-Saenz, Luis A., Curiel-Ramirez, Luis A., Izquierdo-Reyes, Javier, Ramirez-Mendoza, Ricardo A.

Enhancing Semi-Supervised Learning in Educational Data Mining Through Synthetic Data Generation Using Tabular Variational Autoencoder by Kostopoulos, Georgios, Fazakis, Nikos, Kotsiantis, Sotiris, Dimakopoulos, Yiannis

Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach by Wang, Jie, Chang, Richard, Zhao, Ziyuan, Pahwa, Ramanpreet Singh

Zero-Shot Emotion Detection for Semi-Supervised Sentiment Analysis Using Sentence Transformers and Ensemble Learning by Tesfagergish, Senait Gebremichael, Kapočiūtė-Dzikienė, Jurgita, Damaševičius, Robertas

Leveraging Edge Computing ML Model Implementation and IoT Paradigm towards Reliable Postoperative Rehabilitation Monitoring by Faliagka, Evanthia, Skarmintzos, Vasileios, Panagiotou, Christos, Syrimpeis, Vasileios, Antonopoulos, Christos P., Voros, Nikolaos

Developing ensemble clustering through similarity measures: A semi‐supervised hierarchical clustering learning by Wang, Dandan, Li, Qi

A Hybrid Approach of Imitation Learning and Deep Reinforcement Learning with Direct-Effect Update Interval for Elevator Dispatching by Wan, Jiansong, Lee, Kanghoon, Shin, Hayong

Example-driven virtual cinematography by learning camera behaviors by Jiang, Hongda, Wang, Bin, Wang, Xi, Christie, Marc, Chen, Baoquan

A Closer Look at Different Difficulty Levels Code Generation Abilities of ChatGPT by Yan, Dapeng, Gao, Zhipeng, Liu, Zhiming

Coronavirus disease (COVID-19) cases analysis using machine-learning applications by Kwekha-Rashid, Ameer Sardar, Abduljabbar, Heamn N., Alhayani, Bilal

A Survey of Radio Resource Scheduling for 6G and Future Wireless Networks by Jaradat, Ahmad M., Alayedi, Mohanad, Arslan, Huseyin

Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods by Serani, Andrea, Diez, Matteo

Effective Healthcare Traffic Management Through Machine Learning-Enabled Network Slicing by Dubey, Monika, Singh, Ashutosh Kumar, Bhushan, Aditya, Mishra, Richa

Use of machine learning algorithms in the context of sugarcane in Brazil: a review by Cardoso, Luiz Antonio Soares, de Mesquita, Brehme D’napoli Reis, Farias, Paulo Roberto Silva