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04/25/2023
A optimization framework for herbal prescription planning based on deep reinforcement learning
Treatment planning for chronic diseases is a critical task in medical ar...
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02/18/2023
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
Accurate identification of disease genes has consistently been one of th...
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02/06/2023
A Pre-training Framework for Knowledge Graph Completion
Knowledge graph completion (KGC) is one of the effective methods to iden...
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10/07/2022
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
In this paper we describe the design and the ideas motivating a new Cont...
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04/04/2022
Re-examining Distillation For Continual Object Detection
Training models continually to detect and classify objects, from new cla...
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02/14/2022
Memory Replay with Data Compression for Continual Learning
Continual learning needs to overcome catastrophic forgetting of the past...
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02/25/2021
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images
Objective: This paper presents an Alzheimer's disease (AD) detection met...
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01/05/2021
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA), which aims to learn models in ...
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01/02/2021
