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61 |
Material Type: Article
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State-of-the-art augmented NLP transformer models for direct and single-step retrosynthesisNature communications, 2020-11, Vol.11 (1), p.5575-11, Article 5575 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-19266-y ;PMID: 33149154Full text available |
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62 |
Material Type: Article
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Recent advances and applications of deep learning methods in materials sciencenpj computational materials, 2022-04, Vol.8 (1), p.1-26, Article 59 [Peer Reviewed Journal]This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2057-3960 ;EISSN: 2057-3960 ;DOI: 10.1038/s41524-022-00734-6Full text available |
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63 |
Material Type: Article
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Digital technologies in the public-health response to COVID-19Nature medicine, 2020-08, Vol.26 (8), p.1183-1192 [Peer Reviewed Journal]COPYRIGHT 2020 Nature Publishing Group ;Springer Nature America, Inc. 2020. ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-020-1011-4 ;PMID: 32770165Full text available |
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64 |
Material Type: Article
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Adaptive random forests for evolving data stream classificationMachine learning, 2017-10, Vol.106 (9-10), p.1469-1495 [Peer Reviewed Journal]The Author(s) 2017 ;Machine Learning is a copyright of Springer, 2017. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5642-8Full text available |
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65 |
Material Type: Article
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Deep learning in clinical natural language processing: a methodical reviewJournal of the American Medical Informatics Association : JAMIA, 2020-03, Vol.27 (3), p.457-470 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz200 ;PMID: 31794016Full text available |
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66 |
Material Type: Article
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A guide to deep learning in healthcareNature medicine, 2019-01, Vol.25 (1), p.24-29 [Peer Reviewed Journal]COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Jan 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-018-0316-z ;PMID: 30617335Full text available |
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67 |
Material Type: Article
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Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical RecordsCancer research (Chicago, Ill.), 2019-11, Vol.79 (21), p.5463-5470 [Peer Reviewed Journal]2019 American Association for Cancer Research. ;ISSN: 0008-5472 ;EISSN: 1538-7445 ;DOI: 10.1158/0008-5472.can-19-0579 ;PMID: 31395609Full text available |
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68 |
Material Type: Article
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Multi-target regression via input space expansion: treating targets as inputsMachine learning, 2016-07, Vol.104 (1), p.55-98 [Peer Reviewed Journal]The Author(s) 2016 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5546-zFull text available |
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69 |
Material Type: Article
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Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent AdvancesProceedings of the IEEE, 2023-06, Vol.111 (6), p.575-622 [Peer Reviewed Journal]ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2023.3272577 ;CODEN: IEEPADDigital Resources/Online E-Resources |
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70 |
Material Type: Article
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Shared computational principles for language processing in humans and deep language modelsNature neuroscience, 2022-03, Vol.25 (3), p.369-380 [Peer Reviewed Journal]2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 1097-6256 ;EISSN: 1546-1726 ;DOI: 10.1038/s41593-022-01026-4 ;PMID: 35260860Full text available |
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71 |
Material Type: Article
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Evaluation and accurate diagnoses of pediatric diseases using artificial intelligenceNature medicine, 2019-03, Vol.25 (3), p.433-438 [Peer Reviewed Journal]2019© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-018-0335-9 ;PMID: 30742121Full text available |
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72 |
Material Type: Article
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The neural architecture of language: Integrative modeling converges on predictive processingProceedings of the National Academy of Sciences - PNAS, 2021-11, Vol.118 (45), p.1 [Peer Reviewed Journal]Copyright National Academy of Sciences Nov 9, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2105646118 ;PMID: 34737231Full text available |
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73 |
Material Type: Article
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Temporal pattern attention for multivariate time series forecastingMachine learning, 2019-09, Vol.108 (8-9), p.1421-1441 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05815-0Full text available |
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74 |
Material Type: Article
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ProteinBERT: a universal deep-learning model of protein sequence and functionBioinformatics, 2022-04, Vol.38 (8), p.2102-2110 [Peer Reviewed Journal]The Author(s) 2022. Published by Oxford University Press. 2022 ;The Author(s) 2022. Published by Oxford University Press. ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btac020 ;PMID: 35020807Full text available |
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75 |
Material Type: Article
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State of the art: a review of sentiment analysis based on sequential transfer learningThe Artificial intelligence review, 2023, Vol.56 (1), p.749-780 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2022 ;COPYRIGHT 2023 Springer ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10183-8Full text available |
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76 |
Material Type: Article
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A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)Journal of the American Medical Informatics Association : JAMIA, 2017-04, Vol.24 (e1), p.e79-e86 [Peer Reviewed Journal]The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016 ;The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocw109 ;PMID: 27539197Full text available |
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77 |
Material Type: Article
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Optimal classification treesMachine learning, 2017-07, Vol.106 (7), p.1039-1082 [Peer Reviewed Journal]The Author(s) 2017 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5633-9Full text available |
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78 |
Material Type: Article
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Named Entity Extraction for Knowledge Graphs: A Literature OverviewIEEE access, 2020, Vol.8, p.32862-32881 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2973928 ;CODEN: IAECCGFull text available |
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79 |
Material Type: Article
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Automated extraction of chemical synthesis actions from experimental proceduresNature communications, 2020-07, Vol.11 (1), p.3601-3601, Article 3601 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17266-6 ;PMID: 32681088Full text available |
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80 |
Material Type: Conference Proceeding
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Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, p.187-199EISSN: 1558-1225 ;EISBN: 9781450392211 ;EISBN: 1450392210 ;DOI: 10.1145/3510003.3510157 ;CODEN: IEEPADDigital Resources/Online E-Resources |