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deep convolutional neural networks
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Publikace
Studium
publication
Can Deep Convolutional Neural Networks Discover Meaningful Pattern Features?
Publikace bez příslušnosti k fakultě
publication
Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data
2018 |
1. lékařská fakulta
publication
Machine and human interpretable patient visualizations
2022 |
Matematicko-fyzikální fakulta, 1. lékařská fakulta
publication
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images
2021 |
Lékařská fakulta v Hradci Králové
publication
VIRET Tool Meets NasNet
2019 |
Matematicko-fyzikální fakulta
publication
Product exploration based on latent visual attributes
2017 |
Matematicko-fyzikální fakulta
publication
Fully Automatic CAD System for Segmentation and Classification of Spinal Metastatic Lesions in CT Data
2019 |
1. lékařská fakulta
publication
A comparison of lineup fairness in human and computer-made photo arrays of different ethnicities
Publikace bez příslušnosti k fakultě
publication
A comparison of lineup fairness in human and computer-made photo arrays of different ethnicities
2019 |
Matematicko-fyzikální fakulta, Filozofická fakulta
publication
Interpretable functional specialization emerges in deep convolutional networks trained on brain signals
2022 |
2. lékařská fakulta
publication
Towards augmented database schemes by discovery of latent visual attributes
2019 |
Matematicko-fyzikální fakulta
publication
On Visualizations in the Role of Universal Data Representation
2020 |
Matematicko-fyzikální fakulta
publication
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
2018 |
2. lékařská fakulta
publication
Predicting Sex From EEG: Validity and Generalizability of Deep-Learning-Based Interpretable Classifier
2020 |
Publikace bez příslušnosti k fakultě
publication
Visualizations for universal deep-feature representations: survey and taxonomy
2024 |
Matematicko-fyzikální fakulta