Qingfang Meng
Orcid: 0000-0003-0387-8903
According to our database1,
Qingfang Meng
authored at least 54 papers
between 2009 and 2024.
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Bibliography
2024
Prediction of Circular RNA-RBP Binding Sites Based on Multi-source Features and Cascade Forest.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
2023
Prediction of Membrane Protein Amphiphilic Helix Based on Horizontal Visibility Graph and Graph Convolution Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Seizure Prediction Based on Multidimensional EEG Spatial Matrix and Residual Network Structure.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Prediction of circRNA-Binding Protein Site Based on Hybrid Neural Networks and Recurrent Forests Method.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Predicting the Subcellular Localization of Multi-site Protein Based on Fusion Feature and Multi-label Deep Forest Model.
Proceedings of the Intelligent Computing Theories and Application, 2022
Membrane Protein Amphiphilic Helix Structure Prediction Based on Graph Convolution Network.
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data.
Comput. Intell. Neurosci., 2021
A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data.
BMC Bioinform., 2021
2020
Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA.
BMC Bioinform., 2020
Using Evolutionary Information and Multi-Label Linear Discriminant Analysis to Predict the Subcellular Location of Multi-Site Bacterial Proteins via Chou's 5-Steps Rule.
IEEE Access, 2020
2019
A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.
BMC Bioinform., 2019
A Novel Deep Flexible Neural Forest Model for Classification of Cancer Subtypes Based on Gene Expression Data.
IEEE Access, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Protein Tertiary Structure Prediction Based on Multiscale Recurrence Quantification Analysis and Horizontal Visibility Graph.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors.
Proceedings of the Intelligent Computing Theories and Application, 2019
Automated Epileptic Seizure Detection Method Based on the Multi-attribute EEG Feature Pool and mRMR Feature Selection Method.
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A New Epileptic Seizure Detection Method Based on Fusion Feature of Weighted Complex Network.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Epileptic Seizure Detection Based on Time Domain Features and Weighted Complex Network.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Tree-based frequent itemsets mining for analysis of life-satisfaction and loneliness of retired athletes.
Clust. Comput., 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
A Method Using the Lempel-Ziv Complexity to Detect Ventricular Tachycardia and Fibrillation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
A New Epileptic Seizure Detection Method Based on Degree Centrality and Linear Features.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
A Method to Detecting Ventricular Tachycardia and Ventricular Fibrillation Based on Symbol Entropy and Wavelet Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2017
Learning Bayesian Networks Structure Based Part Mutual Information for Reconstructing Gene Regulatory Networks.
Proceedings of the Intelligent Computing Theories and Application, 2017
The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network.
Proceedings of the Intelligent Computing Theories and Application, 2017
A Novel Detection of Ventricular Tachycardia and Fibrillation Based on Degree Centrality of Complex Network.
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
Detecting Ventricular Fibrillation and Ventricular Tachycardia for Small Samples Based on EMD and Symbol Entropy.
Proceedings of the Intelligent Computing Theories and Application, 2016
A Novel Feature Extraction Method for Epileptic Seizure Detection Based on the Degree Centrality of Complex Network and SVM.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
A Multi-valued Coarse Graining of Lempel-Ziv Complexity and SVM in ECG Signal Analysis.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Automatic Seizure Detection in EEG Based on Sparse Representation and Wavelet Transform.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
2014
Comput. Electr. Eng., 2014
The neoteric feature extraction method of epilepsy EEG based on the vertex strength distribution of weighted complex network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Classification of Ventricular Tachycardia and Fibrillation Based on the Lempel-Ziv Complexity and EMD.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
Novel feature extraction method based on weight difference of weighted network for epileptic seizure detection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Pattern Recognit., 2013
Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction.
J. Comput., 2013
Int. J. Neural Syst., 2013
Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
The Feature Extraction Method of EEG Signals Based on Degree Distribution of Complex Networks from Nonlinear Time Series.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013
Proceedings of the Intelligent Computing Theories and Technology, 2013
A novel direct feature-based seizure detector: Using the entropy of degree distribution of epileptic EEG signals.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
2012
Appl. Soft Comput., 2012
2011
Inf. Sci., 2011
2009
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Fifth International Conference on Natural Computation, 2009
Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009