A5102923569- Image Retrieval and Classification Techniques
- Traditional Chinese Medicine Studies
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Machine Learning in Healthcare
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Software-Defined Networks and 5G
- Face and Expression Recognition
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
- Advanced Welding Techniques Analysis
- Video Surveillance and Tracking Methods
- Cutaneous Melanoma Detection and Management
- Traditional Chinese Medicine Analysis
- Phase Change Materials Research
- Laser Applications in Dentistry and Medicine
- Smart Agriculture and AI
- Digital Imaging for Blood Diseases
- Artificial Intelligence in Healthcare
- Surface Treatment and Residual Stress
- Remote-Sensing Image Classification
- Advanced Computing and Algorithms
- Welding Techniques and Residual Stresses
China United Network Communications Group (China)
2023-2024
University of Chinese Academy of Sciences
2021-2024
Beijing Institute of Big Data Research
2022-2024
Chinese Academy of Sciences
2022-2024
The University of Sydney
2019
Renmin University of China
2018-2019
Seoul National University
2019
University of Nebraska–Lincoln
2017-2018
Tsinghua University
2011-2014
Nano and Advanced Materials Institute
2011
Deep convolutional neural networks (DCNNs) can classify skin diseases at a level equivalent to dermatologist, but their performance in specific areas requires further research. To evaluate the of trained DCNN‐based algorithm classifying benign and malignant lip diseases. A training set 1629 images (743 malignant, 886 benign) was used with Inception‐Resnet‐V2. Performance evaluated using another 344 281 from other hospitals. Classifications by 44 participants (six board‐certified...
One way to extract patterns from clinical records is consider each patient record as a bag with various number of instances in the form symptoms. Medical diagnosis discover informative ones first and then map them one or more diseases. In many cases, patients are represented vectors some feature space classifier applied after generate results. However, real-world data often low-quality due variety reasons, such consistency, integrity, completeness, accuracy, etc. this paper, we propose novel...
One way to extract patterns from clinical records is consider each patient record as a bag with various number of instances in the form symptoms. Medical diagnosis discover informative ones first and then map them one or more diseases. In many cases, patients are represented vectors some feature space classifier applied after generate results. However, real-world data often low-quality due variety reasons, such consistency, integrity, completeness, accuracy, etc. this paper, we propose novel...
Syndrome differentiation in Traditional Chinese Medicine (TCM) is the process of understanding and reasoning body condition, which essential step premise effective treatments. However, due to its complexity lack standardization, it challenging achieve. In this study, we consider each patient's record as a one-dimensional image symptoms pixels, missing negative values are represented by zero labeled one or more syndromes diabetes. The objective find relevant first then map them proper...
We use tensile–shear tests to investigate the failure modes of Ti–1Al–1Mn microscale resistance spot welds and determine how mode affects microstructure, microhardness profile, mechanical performance. Two different were revealed: interfacial pullout mode. The that fail by have much better properties than those results show weld nugget size is also a principal factor determines welds. A minimum exists above which all specimens However, critical sizes calculated using existing recommendations...
With the progress of human society and development computer technology, more experience has been accu¬mulated, which can serve as prior information in model training. assistance information, performance some machine learning algorithms significantly improved. In this article, we mainly discussed four types namely knowledge sets, fuzzy universum data, privilege information. Specifically, (1) sets are constraints composed domain experience; (2) provide importance each instance through...
Syndrome differentiation in Traditional Chinese Medicine (TCM) is the process of understanding and reasoning body condition, which essential step premise effective treatments. However, due to its complexity lack standardization, it challenging achieve. In this study, we consider each patient's record as a one-dimensional image symptoms pixels, missing negative values are represented by zero pixels. The objective find relevant first then map them proper syndromes, that similar object...
We study the problem of structured output prediction. Some methods such as support vector machines (SSVM) and conditional random fields (CRFs) are state-of-the-art in dealing with data. However, these classical have some limits scalability because high memory requirements slow training speed. Recently, method joint kernel estimation (JKSE) has been proposed based on one-class SVM which can be trained efficiently. JKSE is not powerful those from point prediction performance. To improve...