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ORCIDNeurocomputing, Volume 526
Volume 526, March 2023
- Stefanos Ougiaroglou, Panagiotis Filippakis, Georgia Fotiadou, Georgios Evangelidis:
Data reduction via multi-label prototype generation. 1-8 - Xianghai Cao, Chenguang Li, Jie Feng, Licheng Jiao
:
Semi-supervised feature learning for disjoint hyperspectral imagery classification. 9-18 - Zisen Kong, Dongxia Chang, Zhiqiang Fu, Jiapeng Wang, Yiming Wang, Yao Zhao:
Projection-preserving block-diagonal low-rank representation for subspace clustering. 19-29 - Majid Mohammadi, Amir Ahooye Atashin, Damian A. Tamburri:
From ℓ1 subgradient to projection: A compact neural network for ℓ1-regularized logistic regression. 30-38 - Jiejie Chen, Ping Jiang, Boshan Chen, Zhigang Zeng:
Global stability of delayed genetic regulatory networks with wider hill functions: A mixing monotone semiflows approach. 39-47 - Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang:
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. 48-61 - Danilo Cáceres Hernández, Ricardo Gutierrez, Kelvin Kung, Juan Rodriguez, Oscar Lao, Kenji Contreras, Kang-Hyun Jo, Javier E. Sánchez-Galán:
Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review. 62-79 - Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez:
Machine learning applications for urban photovoltaic potential estimation: A survey. 80-95 - Rabbia Hassan, M. M. Fraz, A. Rajput, Muhammad Shahzad:
Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds. 96-108 - Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. 109-120 - Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic representation and dependency learning for multi-label image recognition. 121-130 - Yajun Liu, Dakui Wu, Wenju Zhou, Kefeng Fan, Zhiheng Zhou:
EACP: An effective automatic channel pruning for neural networks. 131-142 - Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng:
Robust recurrent neural networks for time series forecasting. 143-157 - Lin Xiao, Linju Li, Juan Tao, Weibing Li:
A predefined-time and anti-noise varying-parameter ZNN model for solving time-varying complex Stein equations. 158-168 - Giovanna Castellano, Eugenio Cotardo, Corrado Mencar, Gennaro Vessio:
Density-based clustering with fully-convolutional networks for crowd flow detection from drones. 169-179 - Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou, Jing Qin:
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. 180-190
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