Blar i Publikasjoner fra Cristin på emneord "Deep learning"
Viser treff 1-3 av 3
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Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Peer reviewed, 2023)Analyzing deep neural networks (DNNs) via information plane (IP) theory has gained tremendous attention recently to gain insight into, among others, DNNs’ generalization ability. However, it is by no means obvious how to ... -
Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data
(Journal article; Peer reviewed, 2023)Multi-frequency echosounder data can provide a broad understanding of the underwater environment in a non-invasive manner. The analysis of echosounder data is, hence, a topic of great importance for the marine ecosystem. ... -
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
(Journal article; Peer reviewed, 2023)Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in medical images. However, most deep learning ...