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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3DProceedings of the National Academy of Sciences - PNAS, 2018-09, Vol.115 (36), p.9026-9031 [Peer Reviewed Journal]Volumes 1–89 and 106–115, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Sep 4, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1804420115 ;PMID: 30135100Full text available |
| 2 |
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Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural NetworksThe Journal of neuroscience, 2018-08, Vol.38 (33), p.7255-7269 [Peer Reviewed Journal]Copyright © 2018 the authors 0270-6474/18/387255-15$15.00/0. ;Copyright Society for Neuroscience Aug 15, 2018 ;Copyright © 2018 the authors 0270-6474/18/387255-15$15.00/0 2018 ;ISSN: 0270-6474 ;EISSN: 1529-2401 ;DOI: 10.1523/jneurosci.0388-18.2018 ;PMID: 30006365Full text available |
| 3 |
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Neural networks to learn protein sequence-function relationships from deep mutational scanning dataProceedings of the National Academy of Sciences - PNAS, 2021-11, Vol.118 (48) [Peer Reviewed Journal]Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Nov 30, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2104878118 ;PMID: 34815338Full text available |
| 4 |
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Automatically identifying, counting, and describing wild animals in camera-trap images with deep learningProceedings of the National Academy of Sciences - PNAS, 2018-06, Vol.115 (25), p.E5716-E5725 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright © 2018 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 19, 2018 ;Copyright © 2018 the Author(s). Published by PNAS. 2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1719367115 ;PMID: 29871948Full text available |
| 5 |
Material Type: Article
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Deep learning predicts path-dependent plasticityProceedings of the National Academy of Sciences - PNAS, 2019-12, Vol.116 (52), p.26414-26420 [Peer Reviewed Journal]Copyright © 2019 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Dec 26, 2019 ;Copyright © 2019 the Author(s). Published by PNAS. 2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1911815116 ;PMID: 31843918Full text available |
| 6 |
Material Type: Article
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Surrogate gradients for analog neuromorphic computingProceedings of the National Academy of Sciences - PNAS, 2022-01, Vol.119 (4), p.1 [Peer Reviewed Journal]Copyright © 2022 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jan 25, 2022 ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2109194119 ;PMID: 35042792Full text available |
| 7 |
Material Type: Article
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Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learningProceedings of the National Academy of Sciences - PNAS, 2019-11, Vol.116 (45), p.22737-22745 [Peer Reviewed Journal]Copyright © 2019 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Nov 5, 2019 ;Copyright © 2019 the Author(s). Published by PNAS. 2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1908021116 ;PMID: 31636195Full text available |
| 8 |
Material Type: Article
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Simple framework for constructing functional spiking recurrent neural networksProceedings of the National Academy of Sciences - PNAS, 2019-11, Vol.116 (45), p.22811-22820 [Peer Reviewed Journal]Copyright National Academy of Sciences Nov 5, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1905926116 ;PMID: 31636215Full text available |
| 9 |
Material Type: Article
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Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced trainingProceedings of the National Academy of Sciences - PNAS, 2021-10, Vol.118 (43) [Peer Reviewed Journal]Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Oct 26, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2103091118 ;PMID: 34675075Full text available |
| 10 |
Material Type: Article
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Recurrence is required to capture the representational dynamics of the human visual systemProceedings of the National Academy of Sciences - PNAS, 2019-10, Vol.116 (43), p.21854-21863 [Peer Reviewed Journal]Copyright © 2019 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Oct 22, 2019 ;Copyright © 2019 the Author(s). Published by PNAS. 2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1905544116 ;PMID: 31591217Full text available |
| 11 |
Material Type: Article
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A mixed-scale dense convolutional neural network for image analysisProceedings of the National Academy of Sciences - PNAS, 2018-01, Vol.115 (2), p.254-259 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Jan 9, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1715832114 ;PMID: 29279403Full text available |
| 12 |
Material Type: Article
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Microswimmers learning chemotaxis with genetic algorithmsProceedings of the National Academy of Sciences - PNAS, 2021-05, Vol.118 (19), p.1 [Peer Reviewed Journal]Copyright National Academy of Sciences May 11, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2019683118 ;PMID: 33947812Full text available |
| 13 |
Material Type: Article
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De novo peptide sequencing by deep learningProceedings of the National Academy of Sciences - PNAS, 2017-08, Vol.114 (31), p.8247-8252 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Aug 1, 2017 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1705691114 ;PMID: 28720701Full text available |
| 14 |
Material Type: Article
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A hierarchy of linguistic predictions during natural language comprehensionProceedings of the National Academy of Sciences - PNAS, 2022-08, Vol.119 (32), p.e2201968119-e2201968119 [Peer Reviewed Journal]Copyright National Academy of Sciences Aug 9, 2022 ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2201968119 ;PMID: 35921434Full text available |
| 15 |
Material Type: Article
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Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planningProceedings of the National Academy of Sciences - PNAS, 2022-10, Vol.119 (41), p.e2212711119-e2212711119 [Peer Reviewed Journal]Copyright National Academy of Sciences Oct 11, 2022 ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2212711119 ;PMID: 36191228Full text available |
| 16 |
Material Type: Article
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Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural NetworkJournal of Nuclear Medicine, 2021-06, Vol.62 (6), p.823-828 [Peer Reviewed Journal]COPYRIGHT © 2021 by the Society of Nuclear Medicine and Molecular Imaging. ;Copyright Society of Nuclear Medicine Jun 1, 2021 ;COPYRIGHT © 2021 by the Society of Nuclear Medicine and Molecular Imaging. 2021 ;ISSN: 0161-5505 ;EISSN: 1535-5667 ;EISSN: 2159-662X ;DOI: 10.2967/JNUMED.120.254623 ;PMID: 33127624Full text available |
| 17 |
Material Type: Article
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Deep learning enables high-quality and high-throughput prediction of enzyme commission numbersProceedings of the National Academy of Sciences - PNAS, 2019-07, Vol.116 (28), p.13996-14001 [Peer Reviewed Journal]Copyright National Academy of Sciences Jul 9, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1821905116 ;PMID: 31221760Full text available |
| 18 |
Material Type: Article
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Overcoming catastrophic forgetting in neural networksProceedings of the National Academy of Sciences - PNAS, 2017-03, Vol.114 (13), p.3521-3526 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Mar 28, 2017 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1611835114 ;PMID: 28292907Full text available |
| 19 |
Material Type: Article
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Simple, fast, and flexible framework for matrix completion with infinite width neural networksProceedings of the National Academy of Sciences - PNAS, 2022-04, Vol.119 (16), p.e2115064119-e2115064119 [Peer Reviewed Journal]Copyright National Academy of Sciences Apr 19, 2022 ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2115064119 ;PMID: 35412891Full text available |
| 20 |
Material Type: Article
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Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR ImagingClinical cancer research, 2018-03, Vol.24 (5), p.1073-1081 [Peer Reviewed Journal]2017 American Association for Cancer Research. ;Copyright American Association for Cancer Research Inc Mar 1, 2018 ;ISSN: 1078-0432 ;EISSN: 1557-3265 ;DOI: 10.1158/1078-0432.ccr-17-2236 ;PMID: 29167275Full text available |
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