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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] 68T45 - Machine vision and scene understanding [MSC 2020] 68T07 - Artificial neural networks and deep learning [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 | ||
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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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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 |
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Calin, Ovidiu
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Howard, Jeremy
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| Sebastopol, : O'Reilly, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso
| Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso |
| Autore | Sangiorgio, Matteo |
| Pubbl/distr/stampa | Cham, : Springer, : PoliMI, 2021 |
| Descrizione fisica | xii, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Dercole, Fabio
Guariso, Giorgio |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Chaotic attractors
Environmental variables Exposure bias Henon systems Neural architectures Neural network training Recurrent Neural Networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274699 |
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Sangiorgio, Matteo
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| Cham, : Springer, : PoliMI, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deep Reinforcement Learning : Fundamentals, Research and Applications / Hao Dong, Zihan Ding, Shanghang Zhang editors
| Deep Reinforcement Learning : Fundamentals, Research and Applications / Hao Dong, Zihan Ding, Shanghang Zhang editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xxvii, 514 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Deep Learning
Deep reinforcement learning Machine learning Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250103 |
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Generative Adversarial Networks for Image Generation / Xudong Mao, Qing Li
| Generative Adversarial Networks for Image Generation / Xudong Mao, Qing Li |
| Autore | Mao, Xudong |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xii, 77 p. : ill. ; 24 cm |
| Altri autori (Persone) | Li, Qing |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Adversarial Networks
Deep Learning Generative Adversarial Networks Generative models Image Generation Image to Image Translation Machine learning Neural networks Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275456 |
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Mao, Xudong
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Malware analysis using artificial intelligence and deep learning / Mark Stamp, Mamoun Alazab, Andrii Shalaginov editors
| Malware analysis using artificial intelligence and deep learning / Mark Stamp, Mamoun Alazab, Andrii Shalaginov editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 651 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 68Nxx - Theory of software [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| ISBN | 978-30-306-2581-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0250944 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Natural language processing in action : understanding, analyzing, and generationg text with Python / Hobson Lane, Cole Howard, Hannes Max Hapke
| Natural language processing in action : understanding, analyzing, and generationg text with Python / Hobson Lane, Cole Howard, Hannes Max Hapke |
| Autore | Lane, Hobson |
| Pubbl/distr/stampa | Shelter Island [N.Y.], : Manning, 2019 |
| Descrizione fisica | xxix, 511 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hapke, Hannes M.
Howard, Cole |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 68T50 - Natural language processing [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| ISBN | 978-16-17-29463-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250844 |
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Lane, Hobson
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| Shelter Island [N.Y.], : Manning, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Neural-Network Simulation of Strongly Correlated Quantum Systems : Doctoral Thesis accepted by Heidelberg University, Heidelberg, Germany / Stefanie Czischek
| Neural-Network Simulation of Strongly Correlated Quantum Systems : Doctoral Thesis accepted by Heidelberg University, Heidelberg, Germany / Stefanie Czischek |
| Autore | Czischek, Stefanie |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 205 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
82C22 - Interacting particle systems in time-dependent statistical mechanics [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Artificial Neural Networks
Neural-Network Quantum States Neuromorphic Hardware Quantum machine learning Quantum many-body systems Quantum spin systems Qubits Spiking Neurons Spin-1/2 Particles |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0229422 |
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Czischek, Stefanie
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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