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3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
| 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 146 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 68T45 - Machine vision and scene understanding [MSC 2020] |
| Soggetto non controllato |
3D computer vision
3D object detection 3D object recognition Deep Learning Explainable machine learning Machine learning ModelNet40 Point cloud analysis Point cloud classification Point cloud part segmentation Point cloud registration PointHop R-PointHop Saab transform ShapeNet Successive subspace learning Unsupervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274505 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
| 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 146 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 68T45 - Machine vision and scene understanding [MSC 2020] |
| Soggetto non controllato |
3D computer vision
3D object detection 3D object recognition Deep Learning Explainable machine learning Machine learning ModelNet40 Point cloud analysis Point cloud classification Point cloud part segmentation Point cloud registration PointHop R-PointHop Saab transform ShapeNet Successive subspace learning Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274505 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Artificial Neural Networks and Structural Equation Modeling : Marketing and Consumer Research Applications / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan editors
| Artificial Neural Networks and Structural Equation Modeling : Marketing and Consumer Research Applications / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | ix, 341 p. : ill. ; 24 cm |
| Soggetto topico |
68T07 - Artificial neural networks and deep learning [MSC 2020]
90B60 - Marketing, advertising [MSC 2020] |
| Soggetto non controllato |
Artificial neural network for consumer research
Social commerce and technology Structural equation modelling for consumer research Sustainability Technology acceptance in marketing and consumer research |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278339 |
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Computational Reconstruction of Missing Data in Biological Research / Feng Bao
| Computational Reconstruction of Missing Data in Biological Research / Feng Bao |
| Autore | Bao, Feng |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xvii, 105 p. : ill. ; 24 cm |
| Soggetto topico |
92C37 - Cell biology [MSC 2020]
92C55 - Biomedical imaging and signal processing [MSC 2020] 62-XX - Statistics [MSC 2020] 92D10 - Genetics and epigenetics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 62D10 - Missing data [MSC 2020] |
| Soggetto non controllato |
Biological data analysis
Data imputation Imbalance learning Machine learning Single Cell Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275440 |
Bao, Feng
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Computational Reconstruction of Missing Data in Biological Research / Feng Bao
| Computational Reconstruction of Missing Data in Biological Research / Feng Bao |
| Autore | Bao, Feng |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xvii, 105 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D10 - Missing data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 92C37 - Cell biology [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] 92D10 - Genetics and epigenetics [MSC 2020] |
| Soggetto non controllato |
Biological data analysis
Data imputation Imbalance learning Machine learning Single Cell Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275440 |
|
Bao, Feng
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep Learning and Medical Applications / Jin Keun Seo editor
| Deep Learning and Medical Applications / Jin Keun Seo editor |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xv, 339 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] |
| Soggetto non controllato |
Image Segmentation
Image reconstruction method Mathematical modeling and analysis Medical image computing Nonlinear inverse problems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279178 |
| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deep Learning Architectures : A Mathematical Approach / Ovidiu Calin
| Deep Learning Architectures : A Mathematical Approach / Ovidiu Calin |
| Autore | Calin, Ovidiu |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxx, 760 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Boltzmann machine
Deep Learning Entropy Fisher Information Metric Kullback-Leibler Divergence Machine learning Neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248977 |
|
Calin, Ovidiu
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep Learning Architectures : A Mathematical Approach / Ovidiu Calin
| Deep Learning Architectures : A Mathematical Approach / Ovidiu Calin |
| Autore | Calin, Ovidiu |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxx, 760 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] |
| Soggetto non controllato |
Boltzmann machine
Deep Learning Entropy Fisher Information Metric Kullback-Leibler Divergence Machine learning Neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248977 |
|
Calin, Ovidiu
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep learning for coders with fastai & PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger
| Deep learning for coders with fastai & PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger |
| Autore | Howard, Jeremy |
| Pubbl/distr/stampa | Sebastopol, : O'Reilly, 2020 |
| Descrizione fisica | xxiv, 594 p. : ill. ; 24 cm |
| Altri autori (Persone) | Gugger, Sylvain |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 68T35 - Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| ISBN | 978-14-920455-2-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0250821 |
|
Howard, Jeremy
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||
| Sebastopol, : O'Reilly, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep learning for coders with fastai & PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger
| Deep learning for coders with fastai & PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger |
| Autore | Howard, Jeremy |
| Pubbl/distr/stampa | Sebastopol, : O'Reilly, 2020 |
| Descrizione fisica | xxiv, 594 p. : ill. ; 24 cm |
| Altri autori (Persone) | Gugger, Sylvain |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] 68T35 - Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] |
| ISBN | 978-14-920455-2-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00250821 |
|
Howard, Jeremy
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||
| Sebastopol, : O'Reilly, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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