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Publication search results
found 18 matches
- 2023
- Aldimir Bruzadin, Maurílio Boaventura, Marilaine Colnago, Rogério Galante Negri, Wallace Casaca:
Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. Neurocomputing 522: 24-38 (2023) - Yanpeng Cao, Xi Tong, Fan Wang, Jiangxin Yang, Yanlong Cao, Sabin Tiberius Strat, Christel-Loïc Tisse:
A deep thermal-guided approach for effective low-light visible image enhancement. Neurocomputing 522: 129-141 (2023) - Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang:
Adaptive fusion network for RGB-D salient object detection. Neurocomputing 522: 152-164 (2023) - Xiaojin Fan, Mengmeng Liao, Jingfeng Xue, Hao Wu, Lei Jin, Jian Zhao, Liehuang Zhu:
Joint coupled representation and homogeneous reconstruction for multi-resolution small sample face recognition. Neurocomputing 522: 89-104 (2023) - Yuru Guo, Zenghong Huang, Lixin Yang, Hong-Xia Rao, Hui Chen, Yong Xu:
Pinning synchronization for markovian jump neural networks with uncertain impulsive effects. Neurocomputing 522: 194-202 (2023) - Wooyeol Hyun, Woo-Jeoung Nam, Seong-Whan Lee:
Dissimilate-and-assimilate strategy for video anomaly detection and localization. Neurocomputing 522: 203-213 (2023) - Xiao-Chuang Jin, Jun-Guo Lu, Qing-Hao Zhang:
Delay-dependent and order-dependent conditions for stability and stabilization of fractional-order memristive neural networks with time-varying delays. Neurocomputing 522: 53-63 (2023) - Chen Li, Marcel Polling, Lu Cao, Barbara Gravendeel, Fons J. Verbeek:
Analysis of automatic image classification methods for Urticaceae pollen classification. Neurocomputing 522: 181-193 (2023) - Fang Liu, Yuqiu Kong, Lihe Zhang, Guang Feng, Baocai Yin:
Local-global coordination with transformers for referring image segmentation. Neurocomputing 522: 39-52 (2023) - Jun Liu, Nan Zhou, Kaiyu Qin, Badong Chen, Yonghong Wu, Kup-Sze Choi:
Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems. Neurocomputing 522: 105-115 (2023) - Leo Hyun Park, Soochang Chung, Jaeuk Kim, Taekyoung Kwon:
GradFuzz: Fuzzing deep neural networks with gradient vector coverage for adversarial examples. Neurocomputing 522: 165-180 (2023) - Johannes Viehweg, Karl Worthmann, Patrick Mäder:
Parameterizing echo state networks for multi-step time series prediction. Neurocomputing 522: 214-228 (2023) - Rui-Qi Wang, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Training with scaled logits to alleviate class-level over-fitting in few-shot learning. Neurocomputing 522: 142-151 (2023) - Yun Wu, Shifeng Xiong:
Kernel reconstruction learning. Neurocomputing 522: 1-10 (2023) - Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi, Gregory Epiphaniou:
An optimized fuzzy deep learning model for data classification based on NSGA-II. Neurocomputing 522: 116-128 (2023) - Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Balanced masking strategy for multi-label image classification. Neurocomputing 522: 64-72 (2023) - Jinpu Zhang, Kaiheng Dai, Ziwen Li, Ruonan Wei, Yuehuan Wang:
Spatio-temporal matching for siamese visual tracking. Neurocomputing 522: 73-88 (2023) - Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively scaled adversarial training in time series. Neurocomputing 522: 11-23 (2023)
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