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Advanced Search Results For "MACHINE learning"

1 - 10 of 235,726 results for
 "MACHINE learning"
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Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology.

Publication Type:Academic Journal

Source(s):The Plant journal : for cell and molecular biology [Plant J] 2022 Sep; Vol. 111 (6), pp. 1527-1538. Date of Electronic Publication: 2022 Jul 27.

Abstract:Advances in high-throughput omics technologies are leading plant biology research into the era of big data. Machine learning (ML) performs an important role in plant systems biology because of its excellent performance and wide application in the analy...

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MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.

Publication Type:Academic Journal

Source(s):Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Sep; Vol. 153, pp. 204-214. Date of Electronic Publication: 2022 Jun 03.

Abstract:In many machine learning applications, data are coming with multiple graphs, which is known as the multiple graph learning problem. The problem of multiple graph learning is to learn consistent representation by exploiting the complementary information...

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Semi-supervised classifier guided by discriminator.

Publication Type:Academic Journal

Source(s):Scientific reports [Sci Rep] 2022 Aug 29; Vol. 12 (1), pp. 14665. Date of Electronic Publication: 2022 Aug 29.

Abstract:Some machine learning applications do not allow for data augmentation or are applied to modalities where the augmentation is difficult to define. Our study aimed to develop a new method in semi-supervised learning (SSL) applicable to various modalities...

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Predicting genes associated with RNA methylation pathways using machine learning.

Publication Type:Academic Journal

Source(s):Communications biology [Commun Biol] 2022 Aug 25; Vol. 5 (1), pp. 868. Date of Electronic Publication: 2022 Aug 25.

Abstract:RNA methylation plays an important role in functional regulation of RNAs, and has thus attracted an increasing interest in biology and drug discovery. Here, we collected and collated transcriptomic, proteomic, structural and physical interaction data f...

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What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 May 10; Vol. 22 (10). Date of Electronic Publication: 2022 May 10.

Abstract:From 2018 to 2021, the Sussex-Huawei Locomotion-Transportation Recognition Challenge presented different scenarios in which participants were tasked with recognizing eight different modes of locomotion and transportation using sensor data from smartpho...

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Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms.

Publication Type:Academic Journal

Source(s):Frontiers in public health [Front Public Health] 2022 Jun 28; Vol. 10, pp. 910479. Date of Electronic Publication: 2022 Jun 28 (Print Publication: 2022).

Abstract:Background: Lumbar drainage is widely used in the clinic; however, forecasting lumbar drainage-related meningitis (LDRM) is limited. We aimed to establish prediction models using supervised machine learning (ML) algorithms.Methods: We utilized a cohort...

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Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score.

Publication Type:Academic Journal

Source(s):Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 12; Vol. 2022, pp. 5475313. Date of Electronic Publication: 2022 May 12 (Print Publication: 2022).

Abstract:Machine learning (ML) often provides applicable high-performance models to facilitate decision-makers in various fields. However, this high performance is achieved at the expense of the interpretability of these models, which has been criticized by pra...

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Deus ex machina? Demystifying rather than deifying machine learning.

Publication Type:Review

Source(s):The Journal of thoracic and cardiovascular surgery [J Thorac Cardiovasc Surg] 2022 Mar; Vol. 163 (3), pp. 1131-1137.e4. Date of Electronic Publication: 2021 Mar 11.

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A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.

Publication Type:Academic Journal

Source(s):Studies in health technology and informatics [Stud Health Technol Inform] 2022 Jan 14; Vol. 289, pp. 321-324.

Abstract:Zoning classification is a rating mechanism, which uses a three-tier color coding to indicate perceived risk from the patients' conditions. It is a widely adopted manual system used across mental health settings, however it is time consuming and costly...

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Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns.

Publication Type:Academic Journal

Source(s):Studies in health technology and informatics [Stud Health Technol Inform] 2022 Jan 14; Vol. 289, pp. 65-68.

Abstract:The goal of this study was to build a machine learning model for early prostate cancer prediction based on healthcare utilization patterns. We examined the frequency and pattern changes of healthcare utilization in 2916 prostate cancer patients 3 years...

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