- Sathishkumar Moorthy, Young Hoon Joo:
Learning dynamic spatial-temporal regularized correlation filter tracking with response deviation suppression via multi-feature fusion. Neural Networks 167: 360-379 (2023) - Laszlo Papp, David Haberl, Boglarka Ecsedi, Clemens P. Spielvogel, Denis Krajnc, Marko Grahovac, Sasan Moradi, Wolfgang Drexler:
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters. Neural Networks 167: 517-532 (2023) - Deborah Pereg:
Information theoretic perspective on sample complexity. Neural Networks 167: 445-449 (2023) - Damiem Rolon-Merette, Thadde Rolon-Merette, Sylvain Chartier:
A multilayered bidirectional associative memory model for learning nonlinear tasks. Neural Networks 167: 244-265 (2023) - Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi:
Subspace distillation for continual learning. Neural Networks 167: 65-79 (2023) - Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim:
Event fusion photometric stereo network. Neural Networks 167: 141-158 (2023) - Jose L. Salazar-González, Juan Antonio Álvarez-García, Fernando J. Rendón-Segador, Fabio Carrara:
Conditioned Cooperative training for semi-supervised weapon detection. Neural Networks 167: 489-501 (2023) - Xiaona Song, Peng Sun, Choon Ki Ahn, Shuai Song:
Switching ETM-based neural adaptive output feedback control for nonaffine stochastic MIMO nonlinear systems subject to deferred constraint. Neural Networks 167: 668-679 (2023) - Indro Spinelli, Riccardo Bianchini, Simone Scardapane:
Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks. Neural Networks 167: 159-167 (2023) - Federico Succetti, Antonello Rosato, Massimo Panella:
An adaptive embedding procedure for time series forecasting with deep neural networks. Neural Networks 167: 715-729 (2023) - Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno:
Distorted image classification using neural activation pattern matching loss. Neural Networks 167: 50-64 (2023) - Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu:
Causal multi-label learning for image classification. Neural Networks 167: 626-637 (2023) - Jumpei Ukita, Kenichi Ohki:
Adversarial attacks and defenses using feature-space stochasticity. Neural Networks 167: 875-889 (2023) - Dan Wang, Xin-Wei Liu:
A varying-parameter fixed-time gradient-based dynamic network for convex optimization. Neural Networks 167: 798-809 (2023) - Jiangyu Wang, Ding Wang, Xin Li, Junfei Qiao:
Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games. Neural Networks 167: 751-762 (2023) - Nebras M. Warsi, Simeon M. Wong, Jürgen Germann, Alexandre Boutet, Olivia N. Arski, Ryan Anderson, Lauren Erdman, Han Yan, Hrishikesh Suresh, Flavia Venetucci Gouveia, Aaron Loh, Gavin J. B. Elias, Elizabeth Kerr, Mary Lou Smith, Ayako Ochi, Hiroshi Otsubo, Roy Sharma, Puneet Jain, Elizabeth Donner, Andres M. Lozano, O. Carter Snead, George M. Ibrahim:
Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography. Neural Networks 167: 827-837 (2023) - Fei Wei, Guici Chen, Zhigang Zeng, Nallappan Gunasekaran:
Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication. Neural Networks 167: 168-182 (2023) - Chang Wu, Gang He, Xinquan Lai, Yunsong Li:
MPCNet: Compressed multi-view video restoration via motion-parallax complementation network. Neural Networks 167: 601-614 (2023) - Jian Xiao, Yiwen Sun, Xiaojun Bi:
Word self-update contrastive adversarial networks for text-to-image synthesis. Neural Networks 167: 433-444 (2023) - Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai, Qing Li:
Visual question generation for explicit questioning purposes based on target objects. Neural Networks 167: 638-647 (2023) - Donghee Yang, Junhyun Cho, Sungchul Lee:
A scalable second order optimizer with an adaptive trust region for neural networks. Neural Networks 167: 692-705 (2023) - Aiping Yang, Yumeng Liu, Jinbin Wang, Xiaoxiao Li, Jiale Cao, Zhong Ji, Yanwei Pang:
Visual-quality-driven unsupervised image dehazing. Neural Networks 167: 1-9 (2023) - Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye:
PEPNet: A barotropic primitive equations-based network for wind speed prediction. Neural Networks 167: 533-550 (2023) - Dian Zhang, Yunwei Dong:
Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model. Neural Networks 167: 730-740 (2023) - Jia-Rui Zhang, Jun-Guo Lu, Xiao-Chuang Jin, Xing-Yu Yang:
Novel results on asymptotic stability and synchronization of fractional-order memristive neural networks with time delays: The 0δ≤1 case. Neural Networks 167: 680-691 (2023) - Dongxue Zhang, Huiying Li, Jingmeng Xie, Dajun Li:
MI-DAGSC: A domain adaptation approach incorporating comprehensive information from MI-EEG signals. Neural Networks 167: 183-198 (2023) - Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang:
Addressing implicit bias in adversarial imitation learning with mutual information. Neural Networks 167: 847-864 (2023) - Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang:
Graph embedding based multi-label Zero-shot Learning. Neural Networks 167: 129-140 (2023) - Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong:
Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot. Neural Networks 167: 292-308 (2023) - Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li, Lei Wei, Chunxu Zhang:
ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation. Neural Networks 167: 199-212 (2023)