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Result Number	Material Type	Record Details and Options
1	Material Type: Article	Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics Brain informatics, 2024-12, Vol.11 (1), p.3-3, Article 3 [Peer Reviewed Journal] The Author(s) 2023 ;2023. The Author(s). ;COPYRIGHT 2024 Springer ;The Author(s) 2023. 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: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-023-00214-7 ;PMID: 38219249 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	An automatic method using MFCC features for sleep stage classification Brain informatics, 2024-12, Vol.11 (1), p.6-6 [Peer Reviewed Journal] The Author(s) 2024 ;2024. The Author(s). ;COPYRIGHT 2024 Springer ;The Author(s) 2024. 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: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-024-00219-w ;PMID: 38340211 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Translating scientific abstracts in the bio-medical domain with structure-aware models Computer speech & language, 2024-08, Vol.87 [Peer Reviewed Journal] Attribution - ShareAlike ;ISSN: 0885-2308 ;EISSN: 1095-8363 ;DOI: 10.1016/j.csl.2024.101623 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	FDT − Dr2T: a unified Dense Radiology Report Generation Transformer framework for X-ray images Machine vision and applications, 2024-07, Vol.35 (4), p.68 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 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: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-024-01544-0 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
5	Material Type: Article	Multi sentence description of complex manipulation action videos Machine vision and applications, 2024-07, Vol.35 (4), p.64 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-024-01547-x Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents Neural networks, 2024-07, Vol.175, p.106283 [Peer Reviewed Journal] Copyright © 2024 Elsevier Ltd. All rights reserved. ;EISSN: 1879-2782 ;DOI: 10.1016/j.neunet.2024.106283 ;PMID: 38604007 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
7	Material Type: Article	Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting Machine learning, 2024-06, Vol.113 (6), p.3399-3417 [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/s10994-023-06445-3 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
8	Material Type: Article	Task-decoupled interactive embedding network for object detection Machine learning, 2024-06, Vol.113 (6), p.3829-3848 [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/s10994-023-06430-w Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
9	Material Type: Article	Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis Machine learning, 2024-06, Vol.113 (6), p.3675-3692 [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/s10994-023-06442-6 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
10	Material Type: Article	Point cloud completion network for 3D shapes with morphologically diverse structures Complex & intelligent systems, 2024-06, Vol.10 (3), p.3389-3409 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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: 2199-4536 ;EISSN: 2198-6053 ;DOI: 10.1007/s40747-023-01325-8 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Transformer embedded spectral-based graph network for facial expression recognition International journal of machine learning and cybernetics, 2024-06, Vol.15 (6), p.2063-2077 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 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: 1868-8071 ;EISSN: 1868-808X ;DOI: 10.1007/s13042-023-02016-z Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
12	Material Type: Article	Leveraging pre-trained language models for code generation Complex & intelligent systems, 2024-06, Vol.10 (3), p.3955-3980 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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: 2199-4536 ;EISSN: 2198-6053 ;DOI: 10.1007/s40747-024-01373-8 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Knowledge distillation based on projector integration and classifier sharing Complex & intelligent systems, 2024-06, Vol.10 (3), p.4521-4533 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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: 2199-4536 ;EISSN: 2198-6053 ;DOI: 10.1007/s40747-024-01394-3 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Better schedules for low precision training of deep neural networks Machine learning, 2024-06, Vol.113 (6), p.3569-3587 [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/s10994-023-06480-0 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
15	Material Type: Article	A deep multi-branch attention model for histopathological breast cancer image classification Complex & intelligent systems, 2024-06, Vol.10 (3), p.4571-4587 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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: 2199-4536 ;EISSN: 2198-6053 ;DOI: 10.1007/s40747-024-01398-z Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Exploring better image captioning with grid features Complex & intelligent systems, 2024-06, Vol.10 (3), p.3541-3556 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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: 2199-4536 ;EISSN: 2198-6053 ;DOI: 10.1007/s40747-023-01341-8 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Style spectroscope: improve interpretability and controllability through Fourier analysis Machine learning, 2024-06, Vol.113 (6), p.3485-3503 [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/s10994-023-06435-5 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
18	Material Type: Article	NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality IEEE transactions on pattern analysis and machine intelligence, 2024-06, Vol.46 (6), p.4234 [Peer Reviewed Journal] EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2024.3356232 ;PMID: 38241115 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
19	Material Type: Article	RDAT: an efficient regularized decoupled adversarial training mechanism International journal of multimedia information retrieval, 2024-06, Vol.13 (2), p.24 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag London Ltd., 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: 2192-6611 ;EISSN: 2192-662X ;DOI: 10.1007/s13735-024-00330-y Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
20	Material Type: Article	Learning de-biased regression trees and forests from complex samples Machine learning, 2024-06, Vol.113 (6), p.3379-3398 [Peer Reviewed Journal] The Author(s) 2024 ;The Author(s) 2024. 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/s10994-023-06439-1 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by