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Tsoi, Ah Chung
201  Ergebnisse:
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1

Higher Order Polynomial Transformer for Fine-Grained Freezi..:

Sun, Renfei ; Hu, Kun ; Martens, Kaylena A. Ehgoetz...
IEEE Transactions on Neural Networks and Learning Systems.  , 2024
Link: https://doi.org/10.1109/..
 
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2

On the effects of recursive convolutional layers in convolu..:

Chagnon, Johan ; Hagenbuchner, Markus ; Tsoi, Ah Chung.
Neurocomputing.  591 (2024)  - p. 127767 , 2024
Link: https://doi.org/10.1016/..
 
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3

Exploring the Role of Recursive Convolutional Layer in Gene..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2023; Lecture Notes in Computer Science,
Corradini, Barbara Toniella ; Andreini, Paolo ; Hagenbuchner, Markus.. - p. 53-64 , 2023
Link: https://doi.org/10.1007/..
 
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4

Accurate and Fast Deep Learning Dose Prediction for a Precl..:

Mentzel, Florian ; Paino, Jason ; Barnes, Micah...
Cancers.  15 (2023)  7 - p. 2137 , 2023
Link: https://doi.org/10.3390/..
 
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5

Graph Fusion Network-Based Multimodal Learning for Freezing..:

Hu, Kun ; Wang, Zhiyong ; Martens, Kaylena A. Ehgoetz...
IEEE Transactions on Neural Networks and Learning Systems.  34 (2023)  3 - p. 1588-1600 , 2023
Link: https://doi.org/10.1109/..
 
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6

Embedding the Self-Organisation of Deep Feature Maps in the..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Humphreys, Jack ; Hagenbuchner, Markus ; Wang, Zhiyong. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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7

Going Deeper with Recursive Convolutional Layers:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Chagnon, Johan ; Hagenbuchner, Markus ; Tsoi, Ah Chung. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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8

Fast and accurate dose predictions for novel radiotherapy t..:

Mentzel, Florian ; Kröninger, Kevin ; Lerch, Michael...
Medical Physics.  49 (2022)  5 - p. 3389-3404 , 2022
Link: https://doi.org/10.1002/..
 
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9

Sign Language Translation with Hierarchical Spatio-Temporal..:

, In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Kan, Jichao ; Hu, Kun ; Hagenbuchner, Markus... - p. 2131-2140 , 2022
Link: https://doi.org/10.1109/..
 
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10

A Study on the effects of recursive convolutional layers in..:

Rossi, Alberto ; Hagenbuchner, Markus ; Scarselli, Franco.
Neurocomputing.  460 (2021)  - p. 59-70 , 2021
Link: https://doi.org/10.1016/..
 
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11

The Vapnik–Chervonenkis dimension of graph and recursive ne..:

Scarselli, Franco ; Tsoi, Ah Chung ; Hagenbuchner, Markus
Neural Networks.  108 (2018)  - p. 248-259 , 2018
Link: https://doi.org/10.1016/..
 
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12

High-resolution Self-Organizing Maps for advanced visualiza..:

Saraswati, Ayu ; Nguyen, Van Tuc ; Hagenbuchner, Markus.
Neural Networks.  105 (2018)  - p. 166-184 , 2018
Link: https://doi.org/10.1016/..
 
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13

A Family of Maximum Margin Criterion for Adaptive Learning:

, In: Neural Information Processing; Lecture Notes in Computer Science,
Cheng, Miao ; Liu, Zunren ; Zou, Hongwei. - p. 375-387 , 2018
Link: https://doi.org/10.1007/..
 
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14

A novel bagged particle filter for object tracking:

, In: Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - Volume 1,
Huang, Haozhi ; Liang, Yanyan ; Tsoi, Ah Chung.. - p. 331-338 , 2016
Link: https://dl.acm.org/doi/1..
 
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15

Investigating the impact of frame rate towards robust human..:

Harjanto, Fredro ; Wang, Zhiyong ; Lu, Shiyang..
Signal Processing.  124 (2016)  - p. 220-232 , 2016
Link: https://doi.org/10.1016/..
 
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