Hong-Bin Shen

According to our database1, Hong-Bin Shen authored at least 67 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2018
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image segmentation.
Pattern Recognition, 2018

High density cell tracking with accurate centroid detections and active area-based tracklet clustering.
Neurocomputing, 2018

Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network.
Neurocomputing, 2018

Bioimage-based protein subcellular location prediction: a comprehensive review.
Frontiers Comput. Sci., 2018

MemBrain-contact 2.0: a new two-stage machine learning model for the prediction enhancement of transmembrane protein residue contacts in the full chain.
Bioinformatics, 2018

MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA-disease association.
Bioinformatics, 2018

Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks.
Bioinformatics, 2018

The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier.
Bioinformatics, 2018

Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method.
IEEE Access, 2018

Line Junction Detection Without Prior-Delineation of Curvilinear Structure in Biomedical Images.
IEEE Access, 2018

2017
A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization.
IEEE Trans. Cybernetics, 2017

Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Signal-3L 2.0: A Hierarchical Mixture Model for Enhancing Protein Signal Peptide Prediction by Incorporating Residue-Domain Cross-Level Features.
Journal of Chemical Information and Modeling, 2017

Deep model-based feature extraction for predicting protein subcellular localizations from bio-images.
Frontiers Comput. Sci., 2017

RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
BMC Bioinformatics, 2017

Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.
Bioinformatics, 2017

NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers.
Bioinformatics, 2017

Resolution determination method of a cryo-EM density map based on multi-scale spectral signal to noise analysis.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

A Non-homogeneous Firefly Algorithm and Its Convergence Analysis.
J. Optimization Theory and Applications, 2016

Protein folds recognized by an intelligent predictor based-on evolutionary and structural information.
Journal of Computational Chemistry, 2016

Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests.
Neurocomputing, 2016

KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning.
Neurocomputing, 2016

GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure.
Computational Biology and Chemistry, 2016

R2C: improving ab initio residue contact map prediction using dynamic fusion strategy and Gaussian noise filter.
Bioinformatics, 2016

Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction.
Bioinformatics, 2016

A New Subcellular Localization Predictor for Human Proteins Considering the Correlation of Annotation Features and Protein Multi-localization.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Improve signal peptide prediction by using functional domain information.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

Prediction Enhancement of Residue Real-Value Relative Accessible Surface Area in Transmembrane Helical Proteins by Solving the Output Preference Problem of Machine Learning-Based Predictors.
Journal of Chemical Information and Modeling, 2015

Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm.
European Journal of Operational Research, 2015

Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins.
Bioinformatics, 2015

Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning.
Bioinformatics, 2015

MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies.
Bioinformatics, 2015

A supervised particle swarm algorithm for real-parameter optimization.
Appl. Intell., 2015

2014
OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi-Sugeno Fuzzy Modeling.
IEEE Trans. Fuzzy Systems, 2014

Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features.
Neurocomputing, 2014

Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine.
Neurocomputing, 2014

Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble.
BMC Bioinformatics, 2014

Sequence-Based Prediction of Protein-Protein Binding Residues in Alpha-Helical Membrane Proteins.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

A Global Eigenvalue-Driven Balanced Deconvolution Approach for Network Direct-Coupling Analysis.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

A Novel Two-Stage Multi-objective Ant Colony Optimization Approach for Epistasis Learning.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.
Journal of Computational Chemistry, 2013

Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling.
Neurocomputing, 2013

GFO: A data driven approach for optimizing the Gaussian function based similarity metric in computational biology.
Neurocomputing, 2013

Translational Bioinformatics and Computational Systems Medicine.
Comp. Math. Methods in Medicine, 2013

High-accuracy prediction of transmembrane inter-helix contacts and application to GPCR 3D structure modeling.
Bioinformatics, 2013

An image-based multi-label human protein subcellular localization predictor (iLocator) reveals protein mislocalizations in cancer tissues.
Bioinformatics, 2013

2012
Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features.
BMC Bioinformatics, 2012

Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011
Bioinformatic Approaches for Predicting substrates of Proteases.
J. Bioinformatics and Computational Biology, 2011

Gaussian kernel optimization: Complex problem and a simple solution.
Neurocomputing, 2011

Large-scale mining co-expressed genes in Arabidopsis anther: From pair to group.
Computational Biology and Chemistry, 2011

2010
Improving the accuracy of predicting disulfide connectivity by feature selection.
Journal of Computational Chemistry, 2010

Cascleave: towards more accurate prediction of caspase substrate cleavage sites.
Bioinformatics, 2010

2006
Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets.
Soft Comput., 2006

Ensemble classifier for protein fold pattern recognition.
Bioinformatics, 2006

A New Scaling Kernel-Based Fuzzy System with Low Computational Complexity.
Proceedings of the Computer Science, 2006

2005
Fuzzy taxonomy, quantitative database and mining generalized association rules.
Intell. Data Anal., 2005

Performing clustering analysis on collaborative models.
Intell. Data Anal., 2005

Cascaded centralized TSK fuzzy system: universal approximator and high interpretation.
Appl. Soft Comput., 2005

2004
Note on the relationship between probabilistic and fuzzy clustering.
Soft Comput., 2004

Note on the relationship between probabilistic and fuzzy clustering.
Soft Comput., 2004

Fuzzy Taxonomic, Quantitative Database and Mining Generalized Association Rules.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Outlier Detecting in Fuzzy Switching Regression Models.
Proceedings of the Artificial Intelligence: Methodology, 2004


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