default search action
Neural Networks, Volume 147
Volume 147, March 2022
- Na Liu, Jun Wang
, Sitian Qin:
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints. 1-9
- Masahiko Fujita
Associative anticipatory learning and control of the cerebellar cortex based on the spike-timing-dependent plasticity of the parallel fiber-Purkinje cell synapses. 10-24
- Zhongqi Lin
Feature Correlation-Steered Capsule Network for object detection. 25-41 - Zi-Rui Wang, Jun Du:
Fast writer adaptation with style extractor network for handwritten text recognition. 42-52 - Liyang Chen, Zhiyuan You
UTRAD: Anomaly detection and localization with U-Transformer. 53-62 - Kaushik Bhargav Sivangi
NoAS-DS: Neural optimal architecture search for detection of diverse DNA signals. 63-71
- Aiqing Zhu
Approximation capabilities of measure-preserving neural networks. 72-80
- Lev V. Utkin
SurvNAM: The machine learning survival model explanation. 81-102
- Jiaxin Li, Bo Zhao
DMPP: Differentiable multi-pruner and predictor for neural network pruning. 103-112
- Junjie He
Towards efficient network compression via Few-Shot Slimming. 113-125 - Guangdeng Zong
Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints. 126-135
- Jinshan Zeng, Min Zhang, Shao-Bo Lin:
Fully corrective gradient boosting with squared hinge: Fast learning rates and early stopping. 136-151
- Yuhao Zhou, Xin Wang
Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation. 152-162
- Yuanhong Liu, Zebiao Hu
Symmetric positive definite manifold learning and its application in fault diagnosis. 163-174 - Wei Han
Efficient joint model learning, segmentation and model updating for visual tracking. 175-185
- C. H. Sarvani
HRel: Filter pruning based on High Relevance between activation maps and class labels. 186-197
- Tianqi Wei
Corrigendum to "A model of operant learning based on chaotically varying synaptic strength" [Neural Netw. 108 (2018) 114-127]. 198
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-15 01:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: