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21	Material Type: Article	A survey on classification techniques for opinion mining and sentiment analysis The Artificial intelligence review, 2019-10, Vol.52 (3), p.1495-1545 [Peer Reviewed Journal] Springer Science+Business Media B.V., part of Springer Nature 2017 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9599-6 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
22	Material Type: Article	Hate speech detection and racial bias mitigation in social media based on BERT model PloS one, 2020-08, Vol.15 (8), p.e0237861-e0237861 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Mozafari 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. ;Attribution ;2020 Mozafari et al 2020 Mozafari et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0237861 ;PMID: 32853205 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
23	Material Type: Article	TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning Machine learning, 2024, Vol.113 (7), p.3999-4012 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06512-9 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
24	Material Type: Article	Machine learning from casual conversation Machine learning, 2023-12, Vol.112 (12), p.4789-4836 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06383-0 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
25	Material Type: Article	OWL2Vec: embedding of OWL ontologies Machine learning, 2021-07, Vol.110 (7), p.1813-1845 [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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05997-6 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
26	Material Type: Article	"What is relevant in a text document?": An interpretable machine learning approach PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal] COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras 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. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
27	Material Type: Article	Learning the language of viral evolution and escape Science (American Association for the Advancement of Science), 2021-01, Vol.371 (6526), p.284-288 [Peer Reviewed Journal] Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. ;Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.abd7331 ;PMID: 33446556 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
28	Material Type: Article	iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations Genome Biology, 2022-10, Vol.23 (1), p.1-219, Article 219 [Peer Reviewed Journal] 2022. 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) 2022 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-022-02780-1 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
29	Material Type: Article	Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies Schizophrenia bulletin, 2022-09, Vol.48 (5), p.949-957 [Peer Reviewed Journal] The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. ;info:eu-repo/semantics/openAccess ;ISSN: 0586-7614 ;ISSN: 1745-1701 ;EISSN: 1745-1701 ;DOI: 10.1093/schbul/sbac038 ;PMID: 35639561 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
30	Material Type: Article	Core Challenges in Embodied Vision-Language Planning The Journal of artificial intelligence research, 2022-01, Vol.74, p.459-515 [Peer Reviewed Journal] 2022. 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.1.13646 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
31	Material Type: Article	Using machine learning to predict decisions of the European Court of Human Rights Artificial intelligence and law, 2020-06, Vol.28 (2), p.237-266 [Peer Reviewed Journal] The Author(s) 2019 ;COPYRIGHT 2020 Springer ;The Author(s) 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: 0924-8463 ;EISSN: 1572-8382 ;DOI: 10.1007/s10506-019-09255-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
32	Material Type: Article	Survey on categorical data for neural networks Journal of big data, 2020-04, Vol.7 (1), p.1-41, Article 28 [Peer Reviewed Journal] The Author(s) 2020 ;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. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-020-00305-w Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
33	Material Type: Article	The impact of artificial intelligence in medicine on the future role of the physician PeerJ (San Francisco, CA), 2019-10, Vol.7, p.e7702-e7702, Article e7702 [Peer Reviewed Journal] COPYRIGHT 2019 COPYRIGHT 2012-2015 PeerJ, Inc / Public user content licensed CC-BY 4.0 unless otherwise specified. Content is available for free at https://peerj.com ;COPYRIGHT 2019 PeerJ. Ltd. ;2019 Ahuja. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Ahuja 2019 Ahuja ;ISSN: 2167-8359 ;EISSN: 2167-8359 ;DOI: 10.7717/peerj.7702 ;PMID: 31592346 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
34	Material Type: Conference Proceeding	Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, p.187-199 EISSN: 1558-1225 ;EISBN: 9781450392211 ;EISBN: 1450392210 ;DOI: 10.1145/3510003.3510157 ;CODEN: IEEPAD Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
35	Material Type: Article	How quantifying the shape of stories predicts their success Proceedings of the National Academy of Sciences - PNAS, 2021-06, Vol.118 (26) [Peer Reviewed Journal] Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 29, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2011695118 ;PMID: 34172568 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
36	Material Type: Article	Text Data Augmentation for Deep Learning Journal of big data, 2021-07, Vol.8 (1), p.101-101, Article 101 [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/s40537-021-00492-0 ;PMID: 34306963 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
37	Material Type: Article	Natural Language-Based Human-Machine Collaborative Learning Games Algorithm Based on Deep Rein-Forcement Learning IEEE access, 2024, Vol.12, p.28818-28830 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3365500 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
38	Material Type: Article	Criteria2Query: a natural language interface to clinical databases for cohort definition Journal of the American Medical Informatics Association : JAMIA, 2019-04, Vol.26 (4), p.294-305 [Peer Reviewed Journal] The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocy178 ;PMID: 30753493 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
39	Material Type: Article	Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review Entropy (Basel, Switzerland), 2023-06, Vol.25 (6), p.888 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e25060888 ;PMID: 37372232 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
40	Material Type: Article	Recommendation system based on deep learning methods: a systematic review and new directions The Artificial intelligence review, 2020-04, Vol.53 (4), p.2709-2748 [Peer Reviewed Journal] Springer Nature B.V. 2019 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2019. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-019-09744-1 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 21 - 40 of 9,545 for All Library Resources

Springer Science+Business Media B.V., part of Springer Nature 2017 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9599-6

2022. 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.1.13646

EISSN: 1558-1225 ;EISBN: 9781450392211 ;EISBN: 1450392210 ;DOI: 10.1145/3510003.3510157 ;CODEN: IEEPAD

Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 29, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2011695118 ;PMID: 34172568

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3365500 ;CODEN: IAECCG

Springer Nature B.V. 2019 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2019. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-019-09744-1

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