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11 |
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Müller, Dominik. - Augsburg : Universität Augsburg, 2021
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12 |
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Czech, Johannes. - Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020
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13 |
Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning
Enthalten in Advanced science Bd. 7, 2020, Nr. 5. 10 S.
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14 |
Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing
Enthalten in Advanced intelligent systems Bd. 2, 2020, Nr. 11. 20 S.
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15 |
Genetic and deep learning clusters based on neural networks for management decision structures
Enthalten in Neural computing & applications 20.5.2019: 1-25
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16 |
Inverting Rayleigh surface wave velocities for crustal thickness in eastern Tibet and the western Yangtze craton based on deep learning neural networks
Enthalten in Nonlinear processes in geophysics discussion 2018: 1-11
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17 |
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
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18 |
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
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19 |
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
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20 |
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
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