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11 |
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes
Enthalten in Mammalian biology 12.4.2022: 1-23
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12 |
Constitutive artificial neural networks
Linka, Kevin. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021
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13 |
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Müller, Dominik. - Augsburg : Universität Augsburg, 2021
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14 |
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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15 |
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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16 |
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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17 |
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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18 |
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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19 |
Learning Object Recognition and Object Class Segmentation with Deep Neural Networks on GPU
Schulz, Hannes. - Bonn : Universitäts- und Landesbibliothek Bonn, 2017
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20 |
Pairwise decomposition with deep neural networks and multiscale kernel subspace learning for acoustic scene classification
Marchi, Erik. - Augsburg : Universität Augsburg, 2016
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