Deep hierarchical semantic segmentation
Humans are able to recognize structured relations in observation, allowing us to decompose
complex scenes into simpler parts and abstract the visual world in multiple levels. However …
complex scenes into simpler parts and abstract the visual world in multiple levels. However …
AI-based ICD coding and classification approaches using discharge summaries: A systematic literature review
The assignment of codes to free-text clinical narratives have long been recognised to be
beneficial for secondary uses such as funding, insurance claim processing and research …
beneficial for secondary uses such as funding, insurance claim processing and research …
Intrusion detection system based on fast hierarchical deep convolutional neural network
Currently, with the increasing number of devices connected to the Internet, search for
network vulnerabilities to attackers has increased, and protection systems have become …
network vulnerabilities to attackers has increased, and protection systems have become …
[HTML][HTML] Crop mapping from image time series: Deep learning with multi-scale label hierarchies
The aim of this paper is to map agricultural crops by classifying satellite image time series.
Domain experts in agriculture work with crop type labels that are organised in a hierarchical …
Domain experts in agriculture work with crop type labels that are organised in a hierarchical …
Hierarchical convolutional neural networks for fashion image classification
Y Seo, K Shin - Expert systems with applications, 2019 - Elsevier
Deep learning can be applied in various business fields for better performance. Especially,
fashion-related businesses have started to apply deep learning techniques on their e …
fashion-related businesses have started to apply deep learning techniques on their e …
A systematic literature review of automated ICD coding and classification systems using discharge summaries
Codification of free-text clinical narratives have long been recognised to be beneficial for
secondary uses such as funding, insurance claim processing and research. The current …
secondary uses such as funding, insurance claim processing and research. The current …
A novel data augmentation-based brain tumor detection using convolutional neural network
Brain tumor is a severe cancer and a life-threatening disease. Thus, early detection is crucial
in the process of treatment. Recent progress in the field of deep learning has contributed …
in the process of treatment. Recent progress in the field of deep learning has contributed …
Yoga-82: a new dataset for fine-grained classification of human poses
Human pose estimation is a well-known problem in computer vision to locate joint positions.
Existing datasets for learning of poses are observed to be not challenging enough in terms …
Existing datasets for learning of poses are observed to be not challenging enough in terms …
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions
K Su, J Liu, H Xiong - Journal of Manufacturing Systems, 2022 - Elsevier
Bearing fault diagnosis is important during the operation of mechanical equipment.
Traditional deep-learning-based methods afford excellent diagnostic results if the training …
Traditional deep-learning-based methods afford excellent diagnostic results if the training …
A neural architecture for automated ICD coding
Abstract The International Classification of Diseases (ICD) provides a hierarchy of diagnostic
codes for classifying diseases. Medical coding–which assigns a subset of ICD codes to a …
codes for classifying diseases. Medical coding–which assigns a subset of ICD codes to a …