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Interpretable metric learning in comparative metagenomics: The adaptive Haar-like distance.

• Authors : Gorman ED; Department of Applied Mathematics, University of Colorado, Boulder, Colorado, United States of America.; Lladser ME

Subjects: Metagenomics*/Metagenomics*/Metagenomics*/methods ; Phylogeny* ; Computational Biology*/Computational Biology*/Computational Biology*/methods

• Source: PLoS computational biology [PLoS Comput Biol] 2024 May 20; Vol. 20 (5), pp. e1011543. Date of Electronic Publication: 2024 May 20 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.

• Authors : Liu Y; School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.; Wei G

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Algorithms*; Sequence Analysis, RNA/Sequence Analysis, RNA/Sequence Analysis, RNA/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Generalization Performance of Quantum Metric Learning Classifiers.

• Authors : Kim J; GSK R&D Stevenage, GlaxoSmithKline, Stevenage SG1 2NY, UK.; Bekiranov S

Subjects: Algorithms* ; Computing Methodologies*; Animals

• Source: Biomolecules [Biomolecules] 2022 Oct 27; Vol. 12 (11). Date of Electronic Publication: 2022 Oct 27.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101596414 Publication Model: Electronic Cited Medium: Internet ISSN: 2218-273X

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Deep Metric Learning Using Negative Sampling Probability Annealing.

• Authors : Kertész G; John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.

Subjects: Algorithms*; Probability

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 06; Vol. 22 (19). Date of Electronic Publication: 2022 Oct 06.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Metric learning for comparing genomic data with triplet network.

• Authors : Ma Z; Department of Automation, Xiamen University, China.; National Institute for Data Science in Health and Medicine, Xiamen University.

Subjects: Algorithms* ; Metagenomics*/Metagenomics*/Metagenomics*/methods; Learning

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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A Boosting-Based Deep Distance Metric Learning Method.

• Authors : Li Z; School of Information Engineering, Xuzhou University of Technology, Xuzhou 221018, China.; School of Computer Science & Technology, China University of Mining and Technology, Xuzhou 221116, China.

Subjects: Algorithms* ; Neural Networks, Computer*

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Mar 15; Vol. 2022, pp. 2665843. Date of Electronic Publication: 2022 Mar 15 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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Reinforcement learning based metric filtering for evolutionary distance metric learning.

• Authors : Ali, Bassel¹ (AUTHOR) ; Moriyama, Koichi² (AUTHOR); Kalintha, Wasin¹ (AUTHOR)

• Source: Intelligent Data Analysis. 2020, Vol. 24 Issue 6, p1345-1364. 20p.

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Human Health Activity Recognition Algorithm in Wireless Sensor Networks Based on Metric Learning.

• Authors : Sun, Dejie¹ (AUTHOR); Zhang, Jie² (AUTHOR); Zhang, Shuai¹ (AUTHOR)

• Source: Computational Intelligence & Neuroscience. 4/18/2022, p1-9. 9p.

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Neural decoding with kernel-based metric learning.

• Authors : Brockmeier AJ; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, U.S.A. .; Choi JS

Subjects: Algorithms* ; Learning* ; Models, Neurological*

• Source: Neural computation [Neural Comput] 2014 Jun; Vol. 26 (6), pp. 1080-107. Date of Electronic Publication: 2014 Mar 31.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Adaptive distance metric learning for diffusion tensor image segmentation.

• Authors : Kong Y; Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.

Subjects: Algorithms* ; Diffusion Tensor Imaging* ; Image Interpretation, Computer-Assisted*

• Source: PloS one [PLoS One] 2014 Mar 20; Vol. 9 (3), pp. e92069. Date of Electronic Publication: 2014 Mar 20 (Print Publication: 2014).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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