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Gepperth, A
192  Ergebnisse:
Personensuche X
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1

Catastrophic Forgetting: Still a Problem for DNNs:

, In: Artificial Neural Networks and Machine Learning – ICANN 2018; Lecture Notes in Computer Science,
Pfülb, B. ; Gepperth, A. ; Abdullah, S.. - p. 487-497 , 2018
Link: https://doi.org/10.1007/..
 
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2

Partitioning Point Clouds and Meshes with Deep Learning 

Striving for a more Efficient and Effective Process in the ... 
Tiator, Marcel , 2023
Link: https://nbn-resolving.de..
 
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3

Gesture Recognition and Multi-modal Fusion on a New Hand Ge..:

, In: Lecture Notes in Computer Science; Pattern Recognition Applications and Methods,
Schak, Monika ; Gepperth, Alexander - p. 76-97 , 2023
Link: https://doi.org/10.1007/..
 
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4

Safe contextual Bayesian optimization integrated in industr..:

De Blasi, Stefano ; Bahrami, Maryam ; Engels, Elmar.
Journal of Intelligent Manufacturing.  35 (2023)  2 - p. 885-903 , 2023
Link: https://doi.org/10.1007/..
 
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5

Free-Hand Gesture Recognition Using Conv3D-Networks with Cr..:

, In: 2023 IEEE International Conference on Development and Learning (ICDL),
Schak, Monika ; Gepperth, Alexander - p. 232-237 , 2023
Link: https://doi.org/10.1109/..
 
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6

Die S‐Bahn‐Querung im neuen Stuttgarter Tiefbahnhof S21 – e..:

Schmid, Angelika ; Gepperth, Sonja ; Reinke, Hans‐Georg
Bautechnik.  99 (2022)  7 - p. 524-532 , 2022
Link: https://doi.org/10.1002/..
 
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7

A new perspective on probabilistic image modeling:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Gepperth, Alexander - p. 1-10 , 2022
Link: https://doi.org/10.1109/..
 
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8

Gesture MNIST: A New Free-Hand Gesture Dataset:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,
Schak, Monika ; Gepperth, Alexander - p. 657-668 , 2022
Link: https://doi.org/10.1007/..
 
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9

A Study of Continual Learning Methods for Q-Learning:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Bagus, Benedikt ; Gepperth, Alexander - p. 1-9 , 2022
Link: https://doi.org/10.1109/..
 
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10

Large-scale gradient-based training of Mixtures of Factor A..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Gepperth, Alexander - p. 01-06 , 2022
Link: https://doi.org/10.1109/..
 
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11

Image Modeling with Deep Convolutional Gaussian Mixture Mod..:

, In: 2021 International Joint Conference on Neural Networks (IJCNN),
Gepperth, Alexander ; Pfulb, Benedikt - p. 1-9 , 2021
Link: https://doi.org/10.1109/..
 
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12

Gradient-Based Training of Gaussian Mixture Models for High..:

Gepperth, Alexander ; Pfülb, Benedikt
Neural Processing Letters.  53 (2021)  6 - p. 4331-4348 , 2021
Link: https://doi.org/10.1007/..
 
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13

On Multi-modal Fusion for Freehand Gesture Recognition:

, In: Artificial Neural Networks and Machine Learning – ICANN 2020; Lecture Notes in Computer Science,
Schak, Monika ; Gepperth, Alexander - p. 862-873 , 2020
Link: https://doi.org/10.1007/..
 
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14

Predicting Network Flow Characteristics Using Deep Learning..:

Hardegen, Christoph ; Pfulb, Benedikt ; Rieger, Sebastian.
IEEE Transactions on Network and Service Management.  17 (2020)  4 - p. 2662-2676 , 2020
Link: https://doi.org/10.1109/..
 
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15

Influence of the ambient pressure on the liquid accumulatio..:

Chaussonnet, G. ; Gepperth, S. ; Holz, S...
International Journal of Multiphase Flow.  125 (2020)  - p. 103229 , 2020
Link: https://doi.org/10.1016/..
 
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