ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems by Gu, Wenwei, Gu, Jiazhen, Liu, Jinyang, Chen, Zhuangbin, Zhang, Jianping, Kuang, Jinxi, Feng, Cong, Yang, Yongqiang, Lyu, Michael R.

EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics by Hench, Jürgen, Hultschig, Claus, Brugger, Jon, Mariani, Luigi, Guzman, Raphael, Soleman, Jehuda, Leu, Severina, Benton, Miles, Stec, Irenäus Maria, Hench, Ivana Bratic, Hoffmann, Per, Harter, Patrick, Weber, Katharina J, Albers, Anne, Thomas, Christian, Hasselblatt, Martin, Schüller, Ulrich, Restelli, Lisa, Capper, David, Hewer, Ekkehard, Diebold, Joachim, Kolenc, Danijela, Schneider, Ulf C., Rushing, Elisabeth, della Monica, Rosa, Chiariotti, Lorenzo, Sill, Martin, Schrimpf, Daniel, von Deimling, Andreas, Sahm, Felix, Kölsche, Christian, Tolnay, Markus, Frank, Stephan

Advancements in Hybrid Machine Learning Models for Biomedical Disease Classification Using Integration of Hyperparameter-Tuning and Feature Selection Methodologies: A Comprehensive Review by Dhanka, Sanjay, Sharma, Abhinav, Kumar, Ankur, Maini, Surita, Vundavilli, Haswanth

Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey by Issa, Wael, Moustafa, Nour, Turnbull, Benjamin, Sohrabi, Nasrin, Tari, Zahir

A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting by Tang, Ling, Wu, Yao, Yu, Lean

DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning by Meng, Chunyang, Song, Shijie, Tong, Haogang, Pan, Maolin, Yu, Yang

A Thread-level Stream Scheduling Method for Accelerating LVMs' Inference on a Resource-constrained Platform by Chen, Yijie, Han, Jiaqi, Liu, Bin, Zhang, Xinzhe, Hu, Zijian, Dou, Rongyu, Li, Keqin

Rough Set-Aided Feature Selection for Automatic Web-Page Classification by Wakaki, Toshiko, Itakura, Hiroyuki, Tamura, Masaki

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Co-training with a Single Natural Feature Set Applied to Email Classification by Chan, Jason, Koprinska, Irena, Poon, Josiah

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A Leap among Quantum Computing and Quantum Neural Networks: A Survey by Massoli, Fabio Valerio, Vadicamo, Lucia, Amato, Giuseppe, Falchi, Fabrizio

Machine Learning from Theory to Algorithms: An Overview by Alzubi, Jafar, Nayyar, Anand, Kumar, Akshi

GNNPilot: A Holistic Framework for High-Performance Graph Neural Network Computations on GPUs by Hu, Zhengding, Sun, Jingwei, Sun, Guangzhong

Cybersickness Analysis with EEG Using Deep Learning Algorithms by Daekyo Jeong, Sangbong Yoo, Jang Yun

Topic Modeling Using Latent Dirichlet allocation: A Survey by Chauhan, Uttam, Shah, Apurva

Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection by Li, Zechao, Liu, Jing, Yang, Yi, Zhou, Xiaofang, Lu, Hanqing

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey by Vatter, Jana, Mayer, Ruben, Jacobsen, Hans-Arno

Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks by Pasechnyuk, Dmitry, Prazdnichnykh, Anton, Evtikhiev, Mikhail, Bryksin, Timofey

Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities by Parsapoor (Parsa), Mahboobeh (Mah), Alam, Muhammad Raisul, Mihailidis, Alex

Human Emotion Recognition Based on Machine Learning Algorithms with low Resource Environment by P., Asha, V., Hemamalini, Poongodaia, N., Swapna, K. L. S., Soujanya, Gaikwad (Mohite), Vaishali

Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey by Li, Miqing, Yao, Xin