A model-based infrared and visible image fusion network with cooperative optimization.
Expert Syst. Appl., 2025
HSSPPI: hierarchical and spatial-sequential modeling for PPIs prediction.
Briefings Bioinform., 2025
Research Progresses and Applications of Knowledge Graph Embedding Technique in Chemistry.
J. Chem. Inf. Model., 2024
A color image decomposition model for image enhancement.
Neurocomputing, November, 2023
On Edge Detection Algorithms for Water-Repellent Images of Insulators Taking into Account Efficient Approaches.
Symmetry, July, 2023
Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Robustness evaluation for deep neural networks via mutation decision boundaries analysis.
Inf. Sci., 2022
A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
Attention-based Convolutional Neural Networks for Protein-Protein Interaction Site Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Predicting the results of molecular specific hybridization using boosted tree algorithm.
Concurr. Comput. Pract. Exp., 2020
DMGR: a Multipath Geographic Routing Strategy with the On-demand Mobile Sink in WSN.
Ad Hoc Sens. Wirel. Networks, 2017
基于深度神经网络的胎儿体重预测 (Estimation of Fetal Weight Based on Deep Neural Network).
计算机科学, 2016
基于深度学习的问题分类方法研究 (Research on Problem Classification Method Based on Deep Learning).
计算机科学, 2016
Learning to Recognize Protected Health Information in Electronic Health Records with Recurrent Neural Network.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016
DTSP-V: A trend-based Top Scoring Pairs method for classification of time series gene expression data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data.
Neurocomputing, 2012
Implementation of multiple-instance learning in drug activity prediction.
BMC Bioinform., 2012
Leveraging domain information to restructure biological prediction.
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BMC Bioinform., 2011
Gene selection using 1-norm regularization for multi-class microarray data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
A comparison of a graph database and a relational database: a data provenance perspective.
Proceedings of the 48th Annual Southeast Regional Conference, 2010
Learning to rank using 1-norm regularization and convex hull reduction.
Proceedings of the 48th Annual Southeast Regional Conference, 2010
Clustering of Defect Reports Using Graph Partitioning Algorithms.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009