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Results 1 - 20 of 2,776  for All Library Resources

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Refined by: Database: DOAJ Directory of Open Access Journals remove subject: Neural Networks remove
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1
Neural Machine Translation: A Review
Neural Machine Translation: A Review
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Neural Machine Translation: A Review

The Journal of artificial intelligence research, 2020-01, Vol.69, p.343-418 [Peer Reviewed Journal]

2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.12007

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2
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
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A Primer on Neural Network Models for Natural Language Processing

The Journal of artificial intelligence research, , Vol.57, p.345-420 [Peer Reviewed Journal]

2016. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.4992

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3
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
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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

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4
State-of-the-art augmented NLP transformer models for direct and single-step retrosynthesis
State-of-the-art augmented NLP transformer models for direct and single-step retrosynthesis
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State-of-the-art augmented NLP transformer models for direct and single-step retrosynthesis

Nature 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: 33149154

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5
Neural Network Methods for Natural Language Processing
Neural Network Methods for Natural Language Processing
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Neural Network Methods for Natural Language Processing

Computational Linguistics, 2018-03, Vol.44 (1), p.193-195 [Peer Reviewed Journal]

Copyright MIT Press Journals, The Mar 2018 ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/COLI_r_00312

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6
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
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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

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7
Vision Transformers for Remote Sensing Image Classification
Vision Transformers for Remote Sensing Image Classification
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Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. 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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516

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8
PCT: Point cloud transformer
PCT: Point cloud transformer
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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

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9
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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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

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10
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
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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

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11
Reinforcement Learning with Neural Networks for Quantum Feedback
Reinforcement Learning with Neural Networks for Quantum Feedback
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Reinforcement Learning with Neural Networks for Quantum Feedback

Physical review. X, 2018-09, Vol.8 (3), p.031084, Article 031084 [Peer Reviewed Journal]

2018. 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. ;ISSN: 2160-3308 ;EISSN: 2160-3308 ;DOI: 10.1103/PhysRevX.8.031084

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12
Machine learning in medicine: a practical introduction
Machine learning in medicine: a practical introduction
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Machine learning in medicine: a practical introduction

BMC medical research methodology, 2019-03, Vol.19 (1), p.64-64, Article 64 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;Copyright © 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: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-019-0681-4 ;PMID: 30890124

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13
Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report
Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report
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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

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14
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
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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

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15
Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model
Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model
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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

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16
Sentiment Analysis Based on Deep Learning: A Comparative Study
Sentiment Analysis Based on Deep Learning: A Comparative Study
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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

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17
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
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Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics

PloS one, 2015-11, Vol.10 (11), p.e0141287-e0141287 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Asgari, Mofrad. 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 Asgari, Mofrad 2015 Asgari, Mofrad ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0141287 ;PMID: 26555596

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18
Modeling aspects of the language of life through transfer-learning protein sequences
Modeling aspects of the language of life through transfer-learning protein sequences
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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

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19
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Forecasting stock prices with long-short term memory neural network based on attention mechanism
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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

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20
A State-of-the-Art Survey on Deep Learning Theory and Architectures
A State-of-the-Art Survey on Deep Learning Theory and Architectures
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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

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