Qinqun Chen
According to our database1,
Qinqun Chen
authored at least 23 papers
between 2012 and 2024.
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Bibliography
2024
Multicentric intelligent cardiotocography signal interpretation using deep semi-supervised domain adaptation via minimax entropy and domain invariance.
Comput. Methods Programs Biomed., 2024
DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification.
Biomed. Signal Process. Control., 2024
2023
A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.
BMC Medical Informatics Decis. Mak., December, 2023
Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data.
Health Inf. Sci. Syst., December, 2023
Research on multimodal deep learning based on CNN and ViT for intrapartum fetal monitoring.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units.
Biomed. Signal Process. Control., 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records.
BMC Medical Informatics Decis. Mak., 2021
A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems.
Int. J. Bio Inspired Comput., 2021
Intelligent classification of antepartum cardiotocography model based on deep forest.
Biomed. Signal Process. Control., 2021
Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest.
Proceedings of the Smart Health - International Conference, 2019
2017
Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography.
Soft Comput., 2017
2016
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
Application of patient-reported outcomes in clinical evaluation model of acupuncture for cervical spondylosis with SEM and ANNs.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
Research on PRO scale of acupuncture for cervical spondylosis with multidimensional item response theory.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
2014
Reconstruction of the biomechanical transfer path of femoral head necrosis: A subject-specific finite element investigation.
Comput. Biol. Medicine, 2014
2013
Application of patient-reported outcomes in clinical evaluation of acupuncture for cervical spondylosis with artificial neural network.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Deriving mutual modes from HPLC fingerprints of traditional Chinese medicine with non-negative matrix factorization.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Automatic identification peaks in chromatographic fingerprints based on fuzzy matching.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012