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subject: Neural Networks

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1	Material Type: Article	Neural information retrieval: at the end of the early years Information retrieval (Boston), 2018-06, Vol.21 (2-3), p.111-182 [Peer Reviewed Journal] The Author(s) 2017 ;Information Retrieval Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1007/s10791-017-9321-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study PLoS medicine, 2018-11, Vol.15 (11), p.e1002683-e1002683 [Peer Reviewed Journal] COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Zech et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Zech et al 2018 Zech et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1002683 ;PMID: 30399157 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Identification of antimicrobial peptides from the human gut microbiome using deep learning Nature biotechnology, 2022-06, Vol.40 (6), p.921-931 [Peer Reviewed Journal] 2022. The Author(s), under exclusive licence to Springer Nature America, Inc. ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2022. ;ISSN: 1087-0156 ;EISSN: 1546-1696 ;DOI: 10.1038/s41587-022-01226-0 ;PMID: 35241840 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Analysis Methods in Neural Language Processing: A Survey Transactions of the Association for Computational Linguistics, 2019-01, Vol.7, p.49-72 [Peer Reviewed Journal] 2019. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00254 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	PCT: Point cloud transformer Computational visual media (Beijing), 2021-06, Vol.7 (2), p.187-199 [Peer Reviewed Journal] The Author(s) 2021 ;The Author(s) 2021. 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: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-021-0229-5 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Review of deep learning: concepts, CNN architectures, challenges, applications, future directions Journal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Peer Reviewed Journal] The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 2021. 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: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-021-00444-8 ;PMID: 33816053 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Mousavi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Mousavi et al 2019 Mousavi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216456 ;PMID: 31063501 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	A comprehensive survey on model compression and acceleration The Artificial intelligence review, 2020-10, Vol.53 (7), p.5113-5155 [Peer Reviewed Journal] Springer Nature B.V. 2020 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09816-7 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report Energies (Basel), 2017, Vol.10 (3), p.406 [Peer Reviewed Journal] Copyright MDPI AG 2017 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en10030406 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope Electronics (Basel), 2021-10, Vol.10 (20), p.2470 [Peer Reviewed Journal] 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10202470 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model Physical review. X, 2020-12, Vol.10 (4), p.041044, Article 041044 [Peer Reviewed Journal] 2020. This work is licensed under https://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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2160-3308 ;EISSN: 2160-3308 ;DOI: 10.1103/PhysRevX.10.041044 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Sentiment Analysis Based on Deep Learning: A Comparative Study Electronics (Basel), 2020-03, Vol.9 (3), p.483 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics9030483 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Modeling aspects of the language of life through transfer-learning protein sequences BMC bioinformatics, 2019-12, Vol.20 (1), p.723-723, Article 723 [Peer Reviewed Journal] COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed 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). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-3220-8 ;PMID: 31847804 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Forecasting stock prices with long-short term memory neural network based on attention mechanism PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	A State-of-the-Art Survey on Deep Learning Theory and Architectures Electronics (Basel), 2019-03, Vol.8 (3), p.292 [Peer Reviewed Journal] 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics8030292 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	A review of deep learning applications for genomic selection BMC genomics, 2021-01, Vol.22 (1), p.19-19, Article 19 [Peer Reviewed Journal] COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed 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) 2021 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-020-07319-x ;PMID: 33407114 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (42), p.25966-25974 [Peer Reviewed Journal] Copyright National Academy of Sciences Oct 20, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1910416117 ;PMID: 32989131 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning Sensors (Basel, Switzerland), 2022-05, Vol.22 (11), p.4157 [Peer Reviewed Journal] 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22114157 ;PMID: 35684778 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Large-scale transportation network congestion evolution prediction using deep learning theory PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Peer Reviewed Journal] COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Ma et al 2015 Ma et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119044 ;PMID: 25780910 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Graph convolutional networks: a comprehensive review Computational social networks, 2019-11, Vol.6 (1), p.1-23, Article 11 [Peer Reviewed Journal] The Author(s) 2019 ;Computational Social Networks is a copyright of Springer, (2019). All Rights Reserved. © 2019. 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: 2197-4314 ;EISSN: 2197-4314 ;DOI: 10.1186/s40649-019-0069-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 1,971 for All Library Resources

The Author(s) 2017 ;Information Retrieval Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1007/s10791-017-9321-y

2022. The Author(s), under exclusive licence to Springer Nature America, Inc. ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2022. ;ISSN: 1087-0156 ;EISSN: 1546-1696 ;DOI: 10.1038/s41587-022-01226-0 ;PMID: 35241840

2019. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00254

Springer Nature B.V. 2020 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09816-7

Copyright MDPI AG 2017 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en10030406

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics9030483

Copyright National Academy of Sciences Oct 20, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1910416117 ;PMID: 32989131

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