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Neural Networks, Volume 152
Volume 152, August 2022
- Jui-Hung Chang, Yin Chung Leung:
Dynamic image clustering from projected coordinates of deep similarity learning. 1-16
- Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. 17-33
- Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger:
Deep unsupervised feature selection by discarding nuisance and correlated features. 34-43
- Jesús Emmanuel Solís Pérez, J. Alfredo Hernández-Pérez, Adrian Parrales, José Francisco Gómez-Aguilar, Armando Huicochea:
Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes. 44-56 - Sehyung Lee, Hideaki Kume, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii:
Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks. 57-69
- Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context meta-reinforcement learning via neuromodulation. 70-79 - Yang Liu, Zhen Wang, Qian Ma, Hao Shen:
Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions. 80-89 - Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information. 90-104
- Zhaobin Wang, Minzhe Xu, Yaonan Zhang:
Quantum pulse coupled neural network. 105-117 - Rui Ye, Xutao Li, Yunming Ye, Baoquan Zhang:
DynamicNet: A time-variant ODE network for multi-step wind speed prediction. 118-139 - Dawen Wu, Abdel Lisser:
A dynamical neural network approach for solving stochastic two-player zero-sum games. 140-149 - Salah Eddine Bekhouche, Ibrahim Kajo, Yassine Ruichek, Fadi Dornaika:
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection. 150-159
- Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
Sparse factorization of square matrices with application to neural attention modeling. 160-168 - Taisuke Kobayashi:
Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization. 169-180 - Yongyi Chen, Dan Zhang, Hamid Reza Karimi, Chao Deng, Wutao Yin:
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation. 181-190 - Ridong Han, Tao Peng, Jiayu Han, Hai Cui, Lu Liu:
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception. 191-200 - Aiping Yang, Leilei Li, Jinbin Wang, Zhong Ji, Yanwei Pang, Jiale Cao, Zihao Wei:
Non-linear perceptual multi-scale network for single image super-resolution. 201-211 - Shan Xue, Biao Luo, Derong Liu, Ying Gao:
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation. 212-223 - Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu:
Attributed graph clustering with multi-task embedding learning. 224-233
- Hiroki Kojima, Takashi Ikegami:
Organization of a Latent Space structure in VAE/GAN trained by navigation data. 234-243
- Peter Neri:
Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations. 244-266
- Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto:
Deep learning, reinforcement learning, and world models. 267-275 - Cheng Zhuang, Minqi Li, Kaibing Zhang, Zheng Li, Jian Lu:
Multi-level landmark-guided deep network for face super-resolution. 276-286
- Yanbu Guo, Chaoyang Li, Dongming Zhou, Jinde Cao, Hui Liang:
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction. 287-299
- Lifan Long, Qian Liu, Hong Peng, Jun Wang, Qian Yang:
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform. 300-310
- Mohammad Jahanbakht, Wei Xiang, Mostafa Rahimi Azghadi:
Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis. 311-321 - Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding graphs on Grassmann manifold. 322-331
- Daniele Fakhoury, Emanuele Fakhoury, Hendrik Speleers:
ExSpliNet: An interpretable and expressive spline-based neural network. 332-346
- Pei Li, Wenlin Zhang, Chengjun Lu, Rui Zhang, Xuelong Li:
Robust kernel principal component analysis with optimal mean. 347-352
- Eric Mason, Hrushikesh N. Mhaskar, Adam Guo:
A manifold learning approach for gesture recognition from micro-Doppler radar measurements. 353-369
- Seung Park, Yong-Goo Shin:
Generative convolution layer for image generation. 370-379 - Iosu Rodríguez-Martínez, Julio Lafuente, Regivan H. N. Santiago, Graçaliz Pereira Dimuro, Francisco Herrera, Humberto Bustince:
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions. 380-393
- Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian:
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. 394-406
- Zailong Chen, Chubo Liu, Wangdong Yang, Kenli Li, Keqin Li:
LAP: Latency-aware automated pruning with dynamic-based filter selection. 407-418
- Hui Zhou, Zijiang Liu, Dianhui Chu, Wenxue Li:
Sampled-data synchronization of complex network based on periodic self-triggered intermittent control and its application to image encryption. 419-433
- Yuzhuo Qin, Xiaodong Gu, Zhenshan Tan:
Visual context learning based on textual knowledge for image-text retrieval. 434-449
- Théophile Champion, Howard Bowman, Marek Grzes:
Branching time active inference: Empirical study and complexity class analysis. 450-466
- Song Tang, Yan Zou, Zihao Song, Jianzhi Lyu, Lijuan Chen, Mao Ye, Shouming Zhong, Jianwei Zhang:
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation. 467-478
- Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang:
Set-membership filtering for complex networks with constraint communication channels. 479-486
- Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, Xiaoxiang Liu, Xinyuan Zhang:
GIU-GANs: Global Information Utilization for Generative Adversarial Networks. 487-498 - Samer Saab Jr., Khaled Kamal Saab, Shashi Phoha, Minghui Zhu, Asok Ray:
A multivariate adaptive gradient algorithm with reduced tuning efforts. 499-509 - Meejoung Kim, Inkyu Lee:
Human-guided auto-labeling for network traffic data: The GELM approach. 510-526
- Zhi Chang, Dexin Zhao, Huilin Chen, Jingdan Li, Pengfei Liu:
Corrigendum to "Event-centric Multi-modal Fusion Method for Dense Video Captioning" [Neural Networks 146 (2022) 120-129]. 527
- Honorius Gâlmeanu, Razvan Andonie:
Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window. 528-541
- Kenji Doya, Arisa Ema, Hiroaki Kitano, Masamichi Sakagami, Stuart Russell:
Social impact and governance of AI and neurotechnologies. 542-554 - Faramarz Faghihi, Siqi Cai, Ahmed A. Moustafa:
A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection. 555-565
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