Aijun Zhang
Orcid: 0000-0001-9729-9018
According to our database1,
Aijun Zhang
authored at least 47 papers
between 2003 and 2025.
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Bibliography
2025
Commun. Nonlinear Sci. Numer. Simul., 2025
2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IEEE Trans. Knowl. Data Eng., March, 2024
ACM Trans. Asian Low Resour. Lang. Inf. Process., February, 2024
Road-MobileSeg: Lightweight and Accurate Road Extraction Model from Remote Sensing Images for Mobile Devices.
Sensors, January, 2024
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification.
CoRR, 2024
2023
Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods.
Comput. Electron. Agric., August, 2023
Saliency Transfer Learning and Central-Cropping Network for Prostate Cancer Classification.
Neural Process. Lett., June, 2023
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons.
CoRR, 2023
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization.
CoRR, 2023
2022
ACM Trans. Knowl. Discov. Data, 2022
Application of a Complex Network Modeling Approach to Explore the Material Basis and Mechanisms of Traditional Chinese Medicine: A Case Study of Xuefu Zhuyu Decoction for the Treatment of Two Types of Angina Pectoris.
IEEE Access, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
GAMI-Net: An explainable neural network based on generalized additive models with structured interactions.
Pattern Recognit., 2021
An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.
Neural Networks, 2021
J. Mach. Learn. Res., 2021
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification.
CoRR, 2021
Optimal Power Flow Calculation of Power System Based on Vector Distance Immune Algorithm.
Proceedings of the 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2021
2020
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions.
CoRR, 2020
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification.
CoRR, 2020
An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks.
CoRR, 2020
2019
An Integrated System for Regional Environmental Parameters Business Data Distribution Based on Internet of Things.
J. Inf. Hiding Multim. Signal Process., 2019
Systematic analysis and identification of unexpected interactions from the neuroprotein drug interactome in hydrocephalus pharmacological intervention.
J. Bioinform. Comput. Biol., 2019
Neurocomputing, 2019
2017
Systematic identification of the druggable interactions between human protein kinases and naturally occurring compounds in endometriosis.
Comput. Biol. Chem., 2017
2016
Exploring canonical correlation analysis with subspace and structured sparsity for web image annotation.
Image Vis. Comput., 2016
Neurocomputing, 2016
2015
SIAM J. Appl. Dyn. Syst., 2015
2010
2007
An effective algorithm for generation of factorial designs with generalized minimum aberration.
J. Complex., 2007
Anomaly Detection in High-Dimensional Financial Databases.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
The earth surface reflectance retrieval by exploiting the synergy of TERRA and AQUA MODIS data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2004
A new approach to generate the look-up table for aerosol remote sensing on grid platform.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
Proceedings of the Computational Science, 2004
Preliminary Study on Unsupervised Classification of Remotely Sensed Images on the Grid.
Proceedings of the Computational Science, 2004
Proceedings of the Computational Science, 2004
2003
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003