Neural Networks

Keyphrases

Publications

volume 169, 2024

Zicong Xia, Yang Liu, Jun Wang
An event-triggered collaborative neurodynamic approach to distributed global optimization. Neural Networks 169 (2024)
Deyang Zhou, Lu Xu, Tianlei Wang, Shaonong Wei, Feng Gao, Xiaoping Lai, Jiuwen Cao
M-DDC: MRI based demyelinative diseases classification with U-Net segmentation and convolutional network. Neural Networks 169 (2024)
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. Neural Networks 169 (2024)
Shaohui Wang, Youjia Shao, Na Tian, Wencang Zhao
Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics. Neural Networks 169 (2024)
Philipp Christian Petersen, Anna Sepliarskaia
VC dimensions of group convolutional neural networks. Neural Networks 169 (2024)
Zhiqiang Liu, Yuhong Li, Chengkai Huang, KunTing Luo, Yanxia Liu
Boosting fine-tuning via Conditional Online Knowledge Transfer. Neural Networks 169 (2024)
Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, Juanjuan Xu, Cong Wang
Deterministic learning-based neural identification and knowledge fusion. Neural Networks 169 (2024)
Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. Neural Networks 169 (2024)
Yangyang Xu, Zengmao Wang, Xiaoping Zhang
Leveraging spatial residual attention and temporal Markov networks for video action understanding. Neural Networks 169 (2024)
Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. Neural Networks 169 (2024)
Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning
Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification. Neural Networks 169 (2024)
Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, Jinde Cao
Neurodynamic approaches for multi-agent distributed optimization. Neural Networks 169 (2024)
Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, Chen Wang, Wenzhu Wang, Xue Li
Adaptive class augmented prototype network for few-shot relation extraction. Neural Networks 169 (2024)
Juntong Yun, Du Jiang, Li Huang, Bo Tao, Shangchun Liao, Ying Liu, Xin Liu, Gongfa Li, Disi Chen, Baojia Chen
Grasping detection of dual manipulators based on Markov decision process with neural network. Neural Networks 169 (2024)
Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel. Neural Networks 169 (2024)
Fuqiang Wu, Hao Meng, Jun Ma
Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor. Neural Networks 169 (2024)
Minghong Li, Yuqian Zhao, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang
Multi-scale feature selection network for lightweight image super-resolution. Neural Networks 169 (2024)
Banghua Huang, Yang Liu, Yun-Liang Jiang, Jun Wang
Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization. Neural Networks 169 (2024)
Tran Anh Tuan, Long Phi Hoang, Dung D. Le, Tran Ngoc Thang
A framework for controllable Pareto front learning with completed scalarization functions and its applications. Neural Networks 169 (2024)
Haoran Jiang, Zhihao Sun, Yingjie Tian
ComCo: Complementary supervised contrastive learning for complementary label learning. Neural Networks 169 (2024)
Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang
Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network. Neural Networks 169 (2024)
Xiaojian Ding, Yi Li, Shilin Chen
Maximum margin and global criterion based-recursive feature selection. Neural Networks 169 (2024)
Florian Bacho, Dominique F. Chu
Low-variance Forward Gradients using Direct Feedback Alignment and momentum. Neural Networks 169 (2024)
Caicai Zheng, Cheng Hu, Juan Yu, Shiping Wen
Saturation function-based continuous control on fixed-time synchronization of competitive neural networks. Neural Networks 169 (2024)
Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat
Graph-based methods coupled with specific distributional distances for adversarial attack detection. Neural Networks 169 (2024)
Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori
Denoising cosine similarity: A theory-driven approach for efficient representation learning. Neural Networks 169 (2024)
Ke Chen, Ying Weng, Akram Hosseini, Tom Dening, Guokun Zuo, Yiming Zhang
A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis. Neural Networks 169 (2024)
Hayato Idei, Yuichi Yamashita
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models. Neural Networks 169 (2024)
Zerui Tao, Toshihisa Tanaka, Qibin Zhao
Nonparametric tensor ring decomposition with scalable amortized inference. Neural Networks 169 (2024)
Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang
BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. Neural Networks 169 (2024)
Yurou Chen, Fengyi Zhang, Zhiyong Liu
Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms. Neural Networks 169 (2024)
Meiling Li, Yangfu Zhu, Shicheng Li, Bin Wu
HG-PerCon: Cross-view contrastive learning for personality prediction. Neural Networks 169 (2024)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Neural Networks 169 (2024)
Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, Xi Li, Houren Zhou, Yilong Yin
Heterogeneous context interaction network for vehicle re-identification. Neural Networks 169 (2024)
Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari
A survey on few-shot class-incremental learning. Neural Networks 169 (2024)
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
Temporal shuffling for defending deep action recognition models against adversarial attacks. Neural Networks 169 (2024)
Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Zijun Huang, Yilong Zang
Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning. Neural Networks 169 (2024)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Discriminative multimodal learning via conditional priors in generative models. Neural Networks 169 (2024)
Xiaofang Meng, Zhouhong Li, Jinde Cao
Almost periodic quasi-projective synchronization of delayed fractional-order quaternion-valued neural networks. Neural Networks 169 (2024)
Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 169 (2024)
Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt
A benchmarking protocol for SAR colorization: From regression to deep learning approaches. Neural Networks 169 (2024)
Xiaoquan Ke, Man-Wai Mak, Helen M. Meng
Automatic selection of spoken language biomarkers for dementia detection. Neural Networks 169 (2024)
Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam, Tae-Kyung Kang, Hyun-Woo Kim, Seong-Whan Lee
Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. Neural Networks 169 (2024)
Wenyuan Ying, Tianyang Dong, Jing Fan
An efficient multi-scale learning method for image super-resolution networks. Neural Networks 169 (2024)
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, Muhammad Tanveer, Rajashree Nayak
A survey on cancer detection via convolutional neural networks: Current challenges and future directions. Neural Networks 169 (2024)
Drazen Domijan, Mateja Maric
An interactive cortical architecture for perceptual organization by accentuation. Neural Networks 169 (2024)
Vladimir Cherkassky, Eng Hock Lee
To understand double descent, we need to understand VC theory. Neural Networks 169 (2024)
Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, Zifan Lin, Kemal Polat, Fayadh Alenezi
Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism. Neural Networks 169 (2024)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169 (2024)
Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang
Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning. Neural Networks 169 (2024)