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Academic Journal

Vulnerability of classifiers to evolutionary generated adversarial examples.

  • Authors : Vidnerová P; The Czech Academy of Sciences, Institute of Computer Science, Pod Vodárenskou věží 271/2, 182 07 Prague 8, Czechia. Electronic address: .; Neruda R

Subjects: Neural Networks, Computer* ; Supervised Machine Learning*/Supervised Machine Learning*/Supervised Machine Learning*/trends; Pattern Recognition, Automated/Pattern Recognition, Automated/Pattern Recognition, Automated/*methods

  • Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2020 Jul; Vol. 127, pp. 168-181. Date of Electronic Publication: 2020 Apr 20.Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

Subjects: Deep Learning* ; Gene Expression Profiling* ; Machine Learning*

  • Source: BMC bioinformatics [BMC Bioinformatics] 2020 Mar 20; Vol. 21 (1), pp. 119. Date of Electronic Publication: 2020 Mar 20.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Machine learning for syndromic surveillance using veterinary necropsy reports.

  • Authors : Bollig N; Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, United States of America.; Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, United States of America.

Subjects: Machine Learning*; Gastrointestinal Diseases/Gastrointestinal Diseases/Gastrointestinal Diseases/*pathology ; Lung Diseases/Lung Diseases/Lung Diseases/*pathology

  • Source: PloS one [PLoS One] 2020 Feb 05; Vol. 15 (2), pp. e0228105. Date of Electronic Publication: 2020 Feb 05 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Machine learning in cardiovascular magnetic resonance: basic concepts and applications.

  • Authors : Leiner T; Department of Radiology | E.01.132, Utrecht University Medical Center, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands. .; Rueckert D

Subjects: Diagnosis, Computer-Assisted* ; Image Interpretation, Computer-Assisted* ; Machine Learning*

  • Source: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2019 Oct 07; Vol. 21 (1), pp. 61. Date ofPublisher: BioMed Central Country of Publication: England NLM ID: 9815616 Publication Model: Electronic Cited Medium: Internet ISSN: 1532-429X

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Academic Journal

A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

  • Authors : Franks JM; Geisel School of Medicine at Dartmouth, Department of Molecular and Systems Biology, Hanover and Lebanon, New Hampshire.; Martyanov V

Subjects: Supervised Machine Learning* ; Transcriptome*; Scleroderma, Systemic/Scleroderma, Systemic/Scleroderma, Systemic/*classification

  • Source: Arthritis & rheumatology (Hoboken, N.J.) [Arthritis Rheumatol] 2019 Oct; Vol. 71 (10), pp. 1701-1710. Date of Electronic Publication: 2019 Sep 02.Publisher: Wiley Country of Publication: United States NLM ID: 101623795 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.

  • Authors : Sardar P; Cardiovascular Institute, Warren Alpert Medical School at Brown University, Providence, Rhode Island.; Abbott JD

Subjects: Cardiac Catheterization* ; Clinical Decision-Making* ; Decision Support Techniques*

  • Source: JACC. Cardiovascular interventions [JACC Cardiovasc Interv] 2019 Jul 22; Vol. 12 (14), pp. 1293-1303.Publisher: Elsevier Country of Publication: United States NLM ID: 101467004 Publication Model: Print Cited Medium: Internet ISSN: 1876-7605

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Academic Journal

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.

  • Authors : Liu D; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.; Department of Pediatrics, Harvard Medical School, Boston, MA, United States.

Subjects: Data Analysis* ; Machine Learning* ; Models, Biological*COVID-19

  • Source: Journal of medical Internet research [J Med Internet Res] 2020 Aug 17; Vol. 22 (8), pp. e20285. Date of Electronic Publication: 2020 Aug 17.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Prediction of hERG potassium channel blockage using ensemble learning methods and molecular fingerprints.

  • Authors : Liu M; School of Life Science, Liaoning University, Shenyang, 110036, China.; Zhang L

Subjects: Machine Learning*; ERG1 Potassium Channel/ERG1 Potassium Channel/ERG1 Potassium Channel/*antagonists & inhibitors ; Peptide Mapping/Peptide Mapping/Peptide Mapping/*methods

  • Source: Toxicology letters [Toxicol Lett] 2020 Oct 10; Vol. 332, pp. 88-96. Date of Electronic Publication: 2020 Jul 03.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7709027 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation.

  • Authors : Toh C; Department of Biomedical Engineering, University of California, Irvine, USA.; Brody JP

Subjects: Algorithms* ; Chromosome Aberrations* ; Machine Learning* COVID-19severe acute respiratory syndrome coronavirus 2

  • Source: Human genomics [Hum Genomics] 2020 Oct 09; Vol. 14 (1), pp. 36. Date of Electronic Publication: 2020 Oct 09.Publisher: BioMed Central Country of Publication: England NLM ID: 101202210 Publication Model: Electronic Cited Medium: Internet ISSN: 1479-7364

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Academic Journal

Clinical Predictive Models for COVID-19: Systematic Study.

Subjects: Betacoronavirus* ; Machine Learning*; Coronavirus Infections/Coronavirus Infections/Coronavirus Infections/*diagnosis COVID-19COVID-19 diagnostic testing...

  • Source: Journal of medical Internet research [J Med Internet Res] 2020 Oct 06; Vol. 22 (10), pp. e21439. Date of Electronic Publication: 2020 Oct 06.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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  • 1-10 of  185,965 نتائج ""Machine learning""