New Insights in Machine Learning and Deep Neural Networks
In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, follow...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20231130_9783036589824_297 |
| الوسوم: |
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| _version_ | 1869523845423038464 |
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| collection | Directory of Open Access Books |
| description | In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field. |
| format | Online |
| id | doab-20.500.12854ir-128845 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1288452024-03-30T12:51:26Z New Insights in Machine Learning and Deep Neural Networks Figueira, Álvaro Renna, Francesco generative adversarial networks data augmentation object identification and scene classification medical imaging detecting fake news on social media facial expression recognition automatic feature selection text and narrative representation image and video reconstruction prediction analysis thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field. 2023-11-30T20:57:52Z 2023-11-30T20:57:52Z 2023 book ONIX_20231130_9783036589824_297 9783036589824 9783036589831 https://directory.doabooks.org/handle/20.500.12854/128845 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8315 https://mdpi.com/books/pdfview/book/8315 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8983-1 10.3390/books978-3-0365-8983-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036589824 9783036589831 258 Basel open access |
| spellingShingle | generative adversarial networks data augmentation object identification and scene classification medical imaging detecting fake news on social media facial expression recognition automatic feature selection text and narrative representation image and video reconstruction prediction analysis thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science New Insights in Machine Learning and Deep Neural Networks |
| title | New Insights in Machine Learning and Deep Neural Networks |
| title_full | New Insights in Machine Learning and Deep Neural Networks |
| title_fullStr | New Insights in Machine Learning and Deep Neural Networks |
| title_full_unstemmed | New Insights in Machine Learning and Deep Neural Networks |
| title_short | New Insights in Machine Learning and Deep Neural Networks |
| title_sort | new insights in machine learning and deep neural networks |
| topic | generative adversarial networks data augmentation object identification and scene classification medical imaging detecting fake news on social media facial expression recognition automatic feature selection text and narrative representation image and video reconstruction prediction analysis thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | generative adversarial networks data augmentation object identification and scene classification medical imaging detecting fake news on social media facial expression recognition automatic feature selection text and narrative representation image and video reconstruction prediction analysis thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20231130_9783036589824_297 |