受强制性开放获取政策约束的文章 - Kaizhu Huang了解详情
无法在其他位置公开访问的文章：89 篇
Customer churn prediction in the telecommunication sector using a rough set approach
A Amin, S Anwar, A Adnan, M Nawaz, K Alawfi, A Hussain, K Huang
Neurocomputing 237, 242-254, 2017
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Cross-modality interactive attention network for multispectral pedestrian detection
L Zhang, Z Liu, S Zhang, X Yang, H Qiao, K Huang, A Hussain
Information Fusion 50, 20-29, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会, UK Engineering and Physical Sciences …
Deep learning: fundamentals, theory and applications
K Huang, A Hussain, QF Wang, R Zhang
springer, 2019
强制性开放获取政策： 国家自然科学基金委员会
Zero-shot learning via attribute regression and class prototype rectification
C Luo, Z Li, K Huang, J Feng, M Wang
IEEE Transactions on Image Processing 27 (2), 637-648, 2017
强制性开放获取政策： 国家自然科学基金委员会
Convex ensemble learning with sparsity and diversity
XC Yin, K Huang, C Yang, HW Hao
Information Fusion 20, 49-59, 2014
强制性开放获取政策： 国家自然科学基金委员会
A novel classifier ensemble method with sparsity and diversity
XC Yin, K Huang, HW Hao, K Iqbal, ZB Wang
Neurocomputing 134, 214-221, 2014
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
DE2: dynamic ensemble of ensembles for learning nonstationary data
XC Yin, K Huang, HW Hao
Neurocomputing 165, 14-22, 2015
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Reducing and stretching deep convolutional activation features for accurate image classification
G Zhong, S Yan, K Huang, Y Cai, J Dong
Cognitive Computation 10, 179-186, 2018
强制性开放获取政策： 国家自然科学基金委员会
EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing
P Li, Z Xiao, X Wang, K Huang, Y Huang, H Gao
IEEE Transactions on Intelligent Vehicles, 2023
强制性开放获取政策： 国家自然科学基金委员会
Maximum power point estimation for photovoltaic strings subjected to partial shading scenarios
J Ma, H Jiang, Z Bi, K Huang, X Li, H Wen
IEEE Transactions on Industry Applications 55 (2), 1890-1902, 2018
强制性开放获取政策： 国家自然科学基金委员会
Novel field-support vector regression-based soft sensor for accurate estimation of solar irradiance
J Ma, H Jiang, K Huang, Z Bi, KL Man
IEEE Transactions on Circuits and Systems I: Regular Papers 64 (12), 3183-3191, 2017
强制性开放获取政策： 国家自然科学基金委员会
Residual attention-based multi-scale script identification in scene text images
M Ma, QF Wang, S Huang, S Huang, Y Goulermas, K Huang
Neurocomputing 421, 222-233, 2021
强制性开放获取政策： 国家自然科学基金委员会
Siamese network ensemble for visual tracking
C Jiang, J Xiao, Y Xie, T Tillo, K Huang
Neurocomputing 275, 2892-2903, 2018
强制性开放获取政策： 国家自然科学基金委员会
Towards better long-tailed oracle character recognition with adversarial data augmentation
J Li, QF Wang, K Huang, X Yang, R Zhang, JY Goulermas
Pattern Recognition 140, 109534, 2023
强制性开放获取政策： 国家自然科学基金委员会
Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model
TO Ting, J Ma, KS Kim, K Huang
Applied Soft Computing 40, 58-63, 2016
强制性开放获取政策： 国家自然科学基金委员会
Generative adversarial networks with mixture of t-distributions noise for diverse image generation
J Sun, G Zhong, Y Chen, Y Liu, T Li, K Huang
Neural Networks 122, 374-381, 2020
强制性开放获取政策： 国家自然科学基金委员会
Joint learning of unsupervised dimensionality reduction and gaussian mixture model
X Yang, K Huang, JY Goulermas, R Zhang
Neural Processing Letters 45, 791-806, 2017
强制性开放获取政策： 国家自然科学基金委员会
Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers
S Kanwal, A Hussain, K Huang
Expert Systems with Applications 165, 113834, 2021
强制性开放获取政策： 国家自然科学基金委员会, UK Engineering and Physical Sciences Research Council
Automatic design of deep networks with neural blocks
G Zhong, W Jiao, W Gao, K Huang
Cognitive Computation 12 (1), 1-12, 2020
强制性开放获取政策： 国家自然科学基金委员会
Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques
SK Wajid, A Hussain, K Huang, W Boulila
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive …, 2016
强制性开放获取政策： 国家自然科学基金委员会, UK Engineering and Physical Sciences Research Council
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