Peng Chen
Orcid: 0000-0002-5810-8159Affiliations:
- Anhui University, Institute of Health Sciences, Hefei, China
- King Abdullah University of Science and Technology, Mathematical and Computer Sciences and Engineering Division (former)
- Chinese Academy of Science, Institute of Intelligent Machines (IIM) (former)
According to our database1,
Peng Chen
authored at least 100 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
2023
Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background.
Comput. Electron. Agric., September, 2023
Multim. Tools Appl., May, 2023
IEEE Trans. Instrum. Meas., 2023
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
J. Electronic Imaging, 2023
Generative adversarial network with transformer generator for boosting ECG classification.
Biomed. Signal Process. Control., 2023
A dual-stream deep neural network integrated with adaptive boosting for sleep staging.
Biomed. Signal Process. Control., 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Instrum. Meas., 2022
Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Adaptive feature fusion pyramid network for multi-classes agricultural pest detection.
Comput. Electron. Agric., 2022
A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features.
Proceedings of the Intelligent Computing Theories and Application, 2022
Proceedings of the Intelligent Computing Theories and Application, 2022
COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation.
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Paper acceptance prediction at the institutional level based on the combination of individual and network features.
Scientometrics, 2021
Automatic estimation of road visibility in foggy weather based on image feature statistics.
J. Electronic Imaging, 2021
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.
Neurocomputing, 2021
Comput. Electron. Agric., 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Sensors, 2020
Crop leaf disease grade identification based on an improved convolutional neural network.
J. Electronic Imaging, 2020
Neurocomputing, 2020
Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation.
Comput. Electron. Agric., 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
2019
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network.
Sensors, 2019
J. Vis. Commun. Image Represent., 2019
Comput. Biol. Chem., 2019
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.
BMC Bioinform., 2019
Semi-supervised prediction of protein interaction sites from unlabeled sample information.
BMC Bioinform., 2019
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.
BMC Bioinform., 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Ranking Research Institutions Based on the Combination of Individual and Network Features.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Insect Detection and Classification Based on an Improved Convolutional Neural Network.
Sensors, 2018
Comput. Electron. Agric., 2018
BMC Syst. Biol., 2018
Protein-protein interface hot spots prediction based on a hybrid feature selection strategy.
BMC Bioinform., 2018
BMC Bioinform., 2018
Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information.
Proceedings of the Intelligent Computing Theories and Application, 2018
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2018
Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Multim. Tools Appl., 2017
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography.
Neurocomputing, 2017
Neurocomputing, 2017
Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning.
Neurocomputing, 2017
A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Int. J. Data Min. Bioinform., 2016
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2016
Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning.
Comput. Electron. Agric., 2015
Proceedings of the 11th International Conference on Natural Computation, 2015
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
2014
Mach. Vis. Appl., 2014
J. Vis. Commun. Image Represent., 2014
Int. J. Pattern Recognit. Artif. Intell., 2014
PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology.
Int. J. Data Min. Bioinform., 2014
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone.
BMC Bioinform., 2014
2013
IET Comput. Vis., 2013
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features.
BMC Bioinform., 2013
Consensus of Sample-Balanced Classifiers for Identifying Ligand-Binding Residue by Co-evolutionary Physicochemical Characteristics of Amino Acids.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013
2012
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
2011
A dynamic subspace learning method for tumor classification using microarray gene expression data.
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the Bio-Inspired Computing and Applications, 2011
2010
Int. J. Data Min. Bioinform., 2010
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information.
BMC Bioinform., 2010
2009
J. Bioinform. Comput. Biol., 2009
Proceedings of the First International Conference on Advances in Databases, 2009
2008
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function.
Int. J. Bioinform. Res. Appl., 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006