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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Zero-shot Learning for Subdiscrimination in Pre-trained Models by Francisco Dominguez-Mateos, Vincent O’Brien, James Garland, Ryan Furlong, Daniel Palacios-Alonso

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SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks by Salah Daddinounou, Anteneh Gebregiorgis, Said Hamdioui, Elena-Ioana Vatajelu

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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

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USSD: Unsupervised Sleep Spindle Detector by Edgardo Ramirez, Pablo A. Estevez, Martin D. Adams, Claudio A. Perez, Marcelo Garrido Gonzalez, Patricio Peirano

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Computational Phenotyping of Obstructive Airway Diseases: A Systematic Review by Bashir MBA, Milani GP, De Cosmi V, Mazzocchi A, Zhang G, Basna R, Hedman L, Lindberg A, Ekerljung L, Axelsson M, Vanfleteren LEGW, Rönmark E, Backman H, Kankaanranta H, Nwaru BI

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Rethinking the Key Factors for the Generalization of Remote Sensing Stereo Matching Networks by Liting Jiang, Feng Wang, Wenyi Zhang, Peifeng Li, Hongjian You, Yuming Xiang

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Non-Rigid Cycle Consistent Bidirectional Network with Transformer for Unsupervised Deformable Functional Magnetic Resonance Imaging Registration by Yingying Wang, Yu Feng, Weiming Zeng

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A cross‐project defect prediction method based on multi‐adaptation and nuclear norm by Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng

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Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease by Serena Dattola, Augusto Ielo, Angelo Quartarone, Maria Cristina De Cola

Subjects: “…unsupervised learning…”
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Adaptive micro partition and hierarchical merging for accurate mixed data clustering by Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung, Kangshun Li

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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

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An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

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Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance by Hao Luo, Xinyue Wang, Li Zhang

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Hierarchical Clustering for Anomalous Traffic Conditions Detection in Power Substations by Erwin Alexander Leal Piedrahita

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A study on fuzzy cognitive maps using fuzzy inference system by Appasamy Saraswathi, Seyyed Edalatpanah, Sanaz Hami Hassan Kiyadeh

Subjects: “…unsupervised transgender…”
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Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines by Enamundram Naga Karthik, Farida Cheriet, Catherine Laporte

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Characterization of soundscapes with acoustic indices and clustering reveals phenology patterns in a subtropical rainforest by Yan-Tin Lai, Sheng-Shan Lu, Ming-Tang Shiao

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High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats by Erin McDonald, Eric Kehoe, Darcy Deines, Mary McCarthy, Brie Wright, Susan Huse

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