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tit all "Neural Networks and Deep Learning"
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71
Knowledge entity learning and representation for ontology matching based on deep neural networks
Enthalten in Cluster computing 5.4.2017: 1-9
72
Pairwise decomposition with deep neural networks and multiscale kernel subspace learning for acoustic scene classification
Marchi, Erik. - Augsburg : Universität Augsburg, 2016
73
Inverting Rayleigh surface wave velocities for eastern Tibet and western Yangtze craton crustal thickness based on deep learning neural networks
Enthalten in Nonlinear processes in geophysics discussion 2016: 1-9
74
A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks
Enthalten in npj computational materials Bd. 10, 9.8.2024, Nr. 1, date:12.2024: 1-14
75
A Deep Dive into Machine Learning: The Roles of Neural Networks and Random Forests in QSPR Analysis
Enthalten in BioNanoScience Bd. 15, 10.12.2024, Nr. 1, date:3.2025: 1-18
76
A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks
Enthalten in Journal of medical systems Bd. 44, 18.12.2019, Nr. 2, date:2.2020: 1-16
77
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks
Enthalten in BioData Mining Bd. 18, 30.1.2025, Nr. 1, date:12.2025: 1-24
78
A primer on deep learning and convolutional neural networks for clinicians
Enthalten in Insights into imaging Bd. 12, 12.8.2021, Nr. 1, date:12.2021: 1-11
79
An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks
Enthalten in Scientific reports Bd. 15, 9.2.2025, Nr. 1, date:12.2025: 1-10
80
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
Enthalten in Neural computing & applications Bd. 33, 12.1.2021, Nr. 1, date:1.2021: 121-157
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