Výsledky vyhledávání - "Unsupervised Machine Learning"

A comparative analysis of unsupervised machine‐learning methods in PSG‐related phenotyping Autor Ghorvei, Mohammadreza, Karhu, Tuomas, Hietakoste, Salla, Ferreira‐Santos, Daniela, Hrubos‐Strøm, Harald, Islind, Anna Sigridur, Biedebach, Luka, Nikkonen, Sami, Leppänen, Timo, Rusanen, Matias

“…Summary Obstructive sleep apnea is a heterogeneous sleep disorder with varying phenotypes. Several studies have already performed cluster analyses to discover…”
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Bloodstream infection subtypes and characteristics comparing solid organ transplant and nontransplant populations Autor Nigo, Masayuki, Casarin, Stefano, Adelman, Max W., Kurian, James, Xu, Jiaqiong, Hsu, David, Sanghvi, Aarjav, Jones, Stephen L., Connor, Ashton A., Gaber, Ahmed Osama, Ghobrial, Rafik Mark, Arias, Cesar A.

“…Bloodstream infections (BSIs) are common and are associated with high mortality rates. Few studies have examined the heterogeneity of clinical characteristics…”
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Foundation models for generalist medical artificial intelligence Autor Moor, Michael, Banerjee, Oishi, Abad, Zahra Shakeri Hossein, Krumholz, Harlan M., Leskovec, Jure, Topol, Eric J., Rajpurkar, Pranav

“…The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine…”
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Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods Autor Handelman, Guy S, Kok, Hong Kuan, Chandra, Ronil V, Razavi, Amir H, Huang, Shiwei, Brooks, Mark, Lee, Michael J, Asadi, Hamed

“…Machine learning (ML) and artificial intelligence (AI) are rapidly becoming the most talked about and controversial topics in radiology and medicine. Over the…”
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Deep Learning in Medical Image Analysis Autor Shen, Dinggang, Wu, Guorong, Suk, Heung-Il

“…This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep…”
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eDoctor: machine learning and the future of medicine Autor Handelman, G. S., Kok, H. K., Chandra, R. V., Razavi, A. H., Lee, M. J., Asadi, H.

“…Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems…”
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Scientific discovery in the age of artificial intelligence Autor Wang, Hanchen, Fu, Tianfan, Du, Yuanqi, Gao, Wenhao, Huang, Kexin, Liu, Ziming, Chandak, Payal, Liu, Shengchao, Van Katwyk, Peter, Deac, Andreea, Anandkumar, Anima, Bergen, Karianne, Gomes, Carla P., Ho, Shirley, Kohli, Pushmeet, Lasenby, Joan, Leskovec, Jure, Liu, Tie-Yan, Manrai, Arjun, Marks, Debora, Ramsundar, Bharath, Song, Le, Sun, Jimeng, Tang, Jian, Veličković, Petar, Welling, Max, Zhang, Linfeng, Coley, Connor W., Bengio, Yoshua, Zitnik, Marinka

“…Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment and accelerate research, helping scientists to generate…”
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Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models Autor Zipfel, Justus, Verworner, Felix, Fischer, Marco, Wieland, Uwe, Kraus, Mathias, Zschech, Patrick

“…Across many industries, visual quality assurance has transitioned from a manual, labor-intensive, and error-prone task to a fully automated and precise…”
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Source-free unsupervised domain adaptation: A survey Autor Fang, Yuqi, Yap, Pew-Thian, Lin, Weili, Zhu, Hongtu, Liu, Mingxia

“…Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention for tackling domain-shift problems caused by distribution discrepancy…”
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Unsupervised neural network models of the ventral visual stream Autor Zhuang, Chengxu, Yan, Siming, Nayebi, Aran, Schrimpf, Martin, Frank, Michael C, DiCarlo, James J, Yamins, Daniel L K

“…Deep neural networks currently provide the best quantitative models of the response patterns of neurons throughout the primate ventral visual stream. However,…”
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Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning Autor Mohammadnazar, Amin, Arvin, Ramin, Khattak, Asad J.

“…•Framework to harness Basic Safety Messages generated by connected vehicles.•Instantaneous driving behavior analyzed using temporal driving…”
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Mastering the game of Go without human knowledge Autor Silver, David, Schrittwieser, Julian, Simonyan, Karen, Antonoglou, Ioannis, Huang, Aja, Guez, Arthur, Hubert, Thomas, Baker, Lucas, Lai, Matthew, Bolton, Adrian, Chen, Yutian, Lillicrap, Timothy, Hui, Fan, Sifre, Laurent, van den Driessche, George, Graepel, Thore, Hassabis, Demis

“…A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa , superhuman proficiency in challenging domains. Recently, AlphaGo…”
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Data-driven phase analysis of immiscible polymer blends via multi-parameter AFM imaging Autor Ohshida, Taiko, Wada, Toru, Kaneuchi, Taiyo, Ohno, Emika, Taniike, Toshiaki

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Unsupervised data-driven method for damage localization using guided waves Autor Lomazzi, Luca, Junges, Rafael, Giglio, Marco, Cadini, Francesco

“…Researchers have recently gained interest in ultrasonic guided waves (UGWs) for structural health monitoring (SHM). This interest has mainly grown thanks to…”
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Heavy metal(loid) hazards in landfill groundwater: An assessment using self-organizing maps and 2D Monte Carlo modeling Autor Vesković, Jelena, Onjia, Antonije

“…Landfill-derived heavy metal(loid) (HM) contamination of groundwater is a pressing environmental issue, yet comprehensive assessments in such settings remain…”
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Disease variant prediction with deep generative models of evolutionary data Autor Frazer, Jonathan, Notin, Pascal, Dias, Mafalda, Gomez, Aidan, Min, Joseph K., Brock, Kelly, Gal, Yarin, Marks, Debora S.

“…Quantifying the pathogenicity of protein variants in human disease-related genes would have a marked effect on clinical decisions, yet the overwhelming…”
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Mapping Distinctive Responses to Bloodstream Infections in Transplant Recipients could Guide Precision Strategies Autor Eichenberger, Emily M., Bhat, Mamatha

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Unsupervised domain adaptation for medical imaging segmentation with self-ensembling Autor Perone, Christian S., Ballester, Pedro, Barros, Rodrigo C., Cohen-Adad, Julien

“…Recent advances in deep learning methods have redefined the state-of-the-art for many medical imaging applications, surpassing previous approaches and…”
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CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition Autor Xiao, Zhiwen, Tong, Huagang, Qu, Rong, Xing, Huanlai, Luo, Shouxi, Zhu, Zonghai, Song, Fuhong, Feng, Li

“…This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing…”
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Automating the failure mode based partition of the failure envelope for tubes using unsupervised machine learning Autor Sun, Ruoyu, Mankame, Nilesh D., Krishnan, Girish

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