Search Results

Filter
  • 1-10 of  552,011 results for ""Machine learning""
Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request
Academic Journal

Evaluation metrics and statistical tests for machine learning.

  • Authors : Rainio O; Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. .; Teuho J

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Machine Learning*; Neural Networks, Computer

  • Source: Scientific reports [Sci Rep] 2024 Mar 13; Vol. 14 (1), pp. 6086. Date of Electronic Publication: 2024 Mar 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification.

  • Authors : Tutsoy O; Adana Alparslan Turkes Science and Technology University, Adana, Turkey. .; Koç GG

Subjects: Algorithms* ; Machine Learning*; Supervised Machine Learning

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Mar 08; Vol. 25 (1), pp. 103. Date of Electronic Publication: 2024 Mar 08.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

Record details

×
Academic Journal

Segmenting mechanically heterogeneous domains via unsupervised learning.

  • Authors : Nguyen Q; Department of Mechanical Engineering, Boston University, Boston, MA, 02215, USA.; Lejeune E

Subjects: Unsupervised Machine Learning* ; Robotics*/Robotics*/Robotics*/methods; Machine Learning

  • Source: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2024 Feb; Vol. 23 (1), pp. 349-372. Date of Electronic Publication: 2024 Jan 13.Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1617-7940

Record details

×
Academic Journal

The impacts of active and self-supervised learning on efficient annotation of single-cell expression data.

  • Authors : Geuenich MJ; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, M5G 1×5, Canada. .; Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada. .

Subjects: Machine Learning* ; Algorithms*; Technology

  • Source: Nature communications [Nat Commun] 2024 Feb 03; Vol. 15 (1), pp. 1014. Date of Electronic Publication: 2024 Feb 03.Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation.

  • Authors : Lin E; From the Department of Radiology & Biomedical Imaging, University of California San Francisco, 185 Berry St, San Francisco CA 94107.; Yuh EL

Subjects: Intracranial Hemorrhages*/Intracranial Hemorrhages*/Intracranial Hemorrhages*/diagnosis ; Supervised Machine Learning*; Humans

  • Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2024 May; Vol. 6 (3), pp. e230077.Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium:

Record details

×
Academic Journal

Distribution-free Bayesian regularized learning framework for semi-supervised learning.

  • Authors : Ma J; School of Mathematics and Information Sciences, North Minzu University, Yinchuan Ningxia 750021, PR China. Electronic address: .; Yu G

Subjects: Algorithms* ; Supervised Machine Learning*; Bayes Theorem

  • Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Jun; Vol. 174, pp. 106262. Date of Electronic Publication: 2024 Mar 20.Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

  • Authors : Lemmon J; Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G1X8, Canada.; Guo LL

Subjects: Inpatients* ; Machine Learning*; Humans

  • Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Nov 17; Vol. 30 (12), pp. 2004-2011.Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Beyond Supervised Learning for Pervasive Healthcare.

Subjects: Machine Learning* ; Technology*; Humans

  • Source: IEEE reviews in biomedical engineering [IEEE Rev Biomed Eng] 2024; Vol. 17, pp. 42-62. Date of Electronic Publication: 2024 Jan 12.Publisher: Institute of Electrical and Electronics Engineers Engineering in Medicine and Biology Society Country of Publication: United States NLM ID: 101493803

Record details

×
Academic Journal

MLpronto: A tool for democratizing machine learning.

  • Authors : Tjaden J; Computer Science Department, Colby College, Waterville, ME, United States of America.; Tjaden B

Subjects: Algorithms* ; Machine Learning*; Supervised Machine Learning

  • Source: PloS one [PLoS One] 2023 Nov 30; Vol. 18 (11), pp. e0294924. Date of Electronic Publication: 2023 Nov 30 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

Record details

×
Academic Journal

Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

  • Authors : Mo Z; Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.; School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.

Subjects: Machine Learning* ; Neural Networks, Computer*; Supervised Machine Learning

  • Source: PLoS genetics [PLoS Genet] 2023 Nov 07; Vol. 19 (11), pp. e1011032. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet

Record details

×
  • 1-10 of  552,011 results for ""Machine learning""