An efficient deep learning approach for colon cancer detection
Colon cancer is the second most common cause of cancer death in women and the third
most common cause of cancer death in men. Therefore, early detection of this cancer can …
most common cause of cancer death in men. Therefore, early detection of this cancer can …
Doubly contrastive representation learning for federated image recognition
Y Zhang, Y Xu, S Wei, Y Wang, Y Li, X Shang - Pattern Recognition, 2023 - Elsevier
This paper focuses on the problem of personalized federated learning (FL) with the schema
of contrastive learning (CL), which is to implement collaborative pattern classification by …
of contrastive learning (CL), which is to implement collaborative pattern classification by …
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer
In multiple-instance learning (MIL), the existing bag encoding and attention-based pooling
approaches assume that the instances in the bag have no relationship among them. This …
approaches assume that the instances in the bag have no relationship among them. This …
Markov guided spatio-temporal networks for brain image classification
This paper proposes a representation learning model to identify task-state fMRIs for
knowledge-concept recognition, which has the potential to model the human cognitive …
knowledge-concept recognition, which has the potential to model the human cognitive …
A new content-aware image resizing based on Rényi entropy and deep learning
J Ayubi, M Chehel Amirani, M Valizadeh - Neural Computing and …, 2024 - Springer
One of the most popular techniques for changing the purpose of an image or resizing a
digital image with content awareness is the seam-carving method. The performance of …
digital image with content awareness is the seam-carving method. The performance of …
A personalized federated learning framework using side information for heterogeneous data classification
Y Zhang, S Wei, Y Wang, Y Xu, Y Li… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Federated learning (FL) allows a large number of clients to improve their respective models
through training a shared global model. However, passing the same global model is not …
through training a shared global model. However, passing the same global model is not …
Online Deep Knowledge Tracing
This study focuses on solving the problem of knowledge tracing in a practical situation,
where the responses from students come in a stream. Most current works of deep …
where the responses from students come in a stream. Most current works of deep …
Knowledge-concept diagnosis from fmris by using a space-time embedding graph convolutional network
Y Lei, Y Zhang, Y Lin, X Shang - International Conference on Web …, 2023 - Springer
Diagnosing the contents of learning in brain activities is a long-standing research task in
cognitive sciences. The current studies on cognitive diagnosis (CD) in education determine …
cognitive sciences. The current studies on cognitive diagnosis (CD) in education determine …
Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks
Y Li, X Shang, Y Zhang - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
This paper proposes a representation learning model for identifying learning disability in
resting-state fMRI, with the potential to enhance our understanding of the human brain. The …
resting-state fMRI, with the potential to enhance our understanding of the human brain. The …
Concept-level recognition from neuroimages for understanding learning in the brain
Y Zhang, L Sun, J Wang, Y Shen… - … on Bioinformatics and …, 2023 - ieeexplore.ieee.org
Functional magnetic resonance imaging (fMRI) can measure changes in blood oxygenation
level-dependent (BOLD) in the human brain caused by some stimuli or tasks, which helps us …
level-dependent (BOLD) in the human brain caused by some stimuli or tasks, which helps us …