AIMC Topic: Pattern Recognition, Automated

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Multistrategy Improved Sparrow Search Algorithm Optimized Deep Neural Network for Esophageal Cancer.

Computational intelligence and neuroscience Sep 27, 2022
Deep neural network is a complex pattern recognition network system. It is widely favored by scholars for its strong nonlinear fitting ability. However, training deep neural network models on small datasets typically realizes worse performance than s...
Humans Neural Networks, Computer Algorithms Esophageal Neoplasms Pattern Recognition, Automated
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FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.

Journal of biomedical informatics Sep 9, 2022
BACKGROUND: Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs (CKGs) against heterogeneous electronic health records (EHRs) has been desired by...
Humans Artificial Intelligence Delivery of Health Care Electronic Health Records Pattern Recognition, Automated Data Warehousing
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Joint Label Inference and Discriminant Embedding.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Graph-based learning in semisupervised models provides an effective tool for modeling big data sets in high-dimensional spaces. It has been useful for propagating a small set of initial labels to a large set of unlabeled data. Thus, it meets the requ...
Neural Networks, Computer Algorithms Learning Supervised Machine Learning Pattern Recognition, Automated
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Facial Expression Recognition Based on LDA Feature Space Optimization.

Computational intelligence and neuroscience Aug 29, 2022
With the development of artificial intelligence, facial expression recognition has become an important part of the current research due to its wide application potential. However, the qualities of the face features will directly affect the accuracy o...
Artificial Intelligence Algorithms Bayes Theorem Discriminant Analysis Pattern Recognition, Automated Facial Recognition
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Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification.

Sensors (Basel, Switzerland) Aug 21, 2022
Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which...
Humans Neural Networks, Computer Learning Pedestrians Pattern Recognition, Automated
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Biomedical Relation Extraction With Knowledge Graph-Based Recommendations.

IEEE journal of biomedical and health informatics Aug 11, 2022
Biomedical Relation Extraction (RE) systems identify and classify relations between biomedical entities to enhance our knowledge of biological and medical processes. Most state-of-the-art systems use deep learning approaches, mainly to target relatio...
Humans Knowledge Bases Pattern Recognition, Automated
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AsthmaKGxE: An asthma-environment interaction knowledge graph leveraging public databases and scientific literature.

Computers in biology and medicine Aug 2, 2022
MOTIVATION: Asthma is a complex heterogeneous disease resulting from intricate interactions between genetic and non-genetic factors related to environmental and psychosocial aspects. Discovery of such interactions can provide insights into the pathop...
Humans Artificial Intelligence Databases, Factual Asthma Pattern Recognition, Automated Gene-Environment Interaction
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Locality Adaptive Discriminant Analysis Framework.

IEEE transactions on cybernetics Jul 19, 2022
Linear discriminant analysis (LDA) is a well-known technique for supervised dimensionality reduction and has been extensively applied in many real-world applications. LDA assumes that the samples are Gaussian distributed, and the local data distribut...
Artificial Intelligence Algorithms Discriminant Analysis Pattern Recognition, Automated
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Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2022
Adversarial robustness has become a central goal in deep learning, both in the theory and the practice. However, successful methods to improve the adversarial robustness (such as adversarial training) greatly hurt generalization performance on the un...
Neural Networks, Computer Pattern Recognition, Automated Generalization, Psychological
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Leveraging ShuffleNet transfer learning to enhance handwritten character recognition.

Gene expression patterns : GEP Jul 16, 2022
Handwritten character recognition has continually been a fascinating field of study in pattern recognition due to its numerous real-life applications, such as the reading tools for blind people and the reading tools for handwritten bank cheques. Ther...
Humans Neural Networks, Computer Machine Learning Algorithms Pattern Recognition, Automated Handwriting
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