- 2022
- Amir Amirinezhad, Saber Salehkaleybar
, Matin Hashemi:
Active learning of causal structures with deep reinforcement learning. Neural Networks 154: 22-30 (2022) - Georg Brandmayr, Manfred Martin Hartmann, Franz Fürbass, Gerald Matz, Matthias Samwald, Tilmann Kluge, Georg Dorffner:
Relational local electroencephalography representations for sleep scoring. Neural Networks 154: 310-322 (2022) - Wenming Cao, Shuangshuang Li, Jianqi Zhong:
QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction. Neural Networks 154: 141-151 (2022) - Hangjun Che, Jun Wang, Andrzej Cichocki:
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154: 255-269 (2022) - Bhavin Choksi, Milad Mozafari, Rufin VanRullen, Leila Reddy:
Multimodal neural networks better explain multivoxel patterns in the hippocampus. Neural Networks 154: 538-542 (2022) - Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen:
MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion. Neural Networks 154: 234-245 (2022) - R. K. Daniels, Joshua B. Mallinson, Zachary Heywood, Philip Bones, Matthew D. Arnold, Simon A. Brown:
Reservoir computing with 3D nanowire networks. Neural Networks 154: 122-130 (2022) - Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang:
Event stream learning using spatio-temporal event surface. Neural Networks 154: 543-559 (2022) - Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang:
Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks 154: 481-490 (2022) - Xinyi He, Xiaodi Li, Shiji Song:
Finite-time stability of state-dependent delayed systems and application to coupled neural networks. Neural Networks 154: 303-309 (2022) - Sean Hon, Haizhao Yang:
Simultaneous neural network approximation for smooth functions. Neural Networks 154: 152-164 (2022) - Yongwon Hong, Martin Mundt, Sungho Park, Yungjung Uh, Hyeran Byun:
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders. Neural Networks 154: 397-412 (2022) - Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu:
Compressing speaker extraction model with ultra-low precision quantization and knowledge distillation. Neural Networks 154: 13-21 (2022) - Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim:
SLIDE: A surrogate fairness constraint to ensure fairness consistency. Neural Networks 154: 441-454 (2022) - Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks 154: 218-233 (2022) - Yi Shan Lee, Junghui Chen:
Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring. Neural Networks 154: 455-468 (2022) - Youngkyu Lee, Jongho Park, Chang-Ock Lee:
Two-level group convolution. Neural Networks 154: 323-332 (2022) - Li Li, Duo Liu, Moming Duan, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang:
Federated learning with workload-aware client scheduling in heterogeneous systems. Neural Networks 154: 560-573 (2022) - Qingxia Liu, Bang Wang:
Neural extraction of multiscale essential structure for network dismantling. Neural Networks 154: 99-108 (2022) - Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan:
Context-guided entropy minimization for semi-supervised domain adaptation. Neural Networks 154: 270-282 (2022) - Natalie Maus, Oliver W. Layton:
Estimating heading from optic flow: Comparing deep learning network and human performance. Neural Networks 154: 383-396 (2022) - Ionela Georgiana Mocanu, Zhenxu Yang, Vaishak Belle:
Breaking CAPTCHA with Capsule Networks. Neural Networks 154: 246-254 (2022) - Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie:
A portable clustering algorithm based on compact neighbors for face tagging. Neural Networks 154: 508-520 (2022) - Siyuan Peng, Zhijing Yang, Feiping Nie, Badong Chen, Zhiping Lin:
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering. Neural Networks 154: 203-217 (2022) - Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang:
A multi-birth metric learning framework based on binary constraints. Neural Networks 154: 165-178 (2022) - Federica Robertazzi, Matteo Vissani, Guido Schillaci, Egidio Falotico:
Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents. Neural Networks 154: 283-302 (2022) - Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San:
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154: 333-345 (2022) - Robert Stephany, Christopher J. Earls:
PDE-READ: Human-readable partial differential equation discovery using deep learning. Neural Networks 154: 360-382 (2022) - Jianyuan Sun, Hongchuan Yu, Jian J. Zhang, Junyu Dong, Hui Yu, Guoqiang Zhong:
Face image-sketch synthesis via generative adversarial fusion. Neural Networks 154: 179-189 (2022) - Fanghua Tang, Ben Niu, Guangdeng Zong, Xudong Zhao, Ning Xu:
Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning. Neural Networks 154: 43-55 (2022)
