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Publication search results
found 33 matches
- 2020
- Shadi Abpeikar, Mehdi Ghatee, Gian Luca Foresti, Christian Micheloni:
Adaptive neural tree exploiting expert nodes to classify high-dimensional data. Neural Networks 124: 20-38 (2020) - Joyce Chelangat Bore, Peiyang Li, Dennis Joe Harmah, Fali Li, Dezhong Yao, Peng Xu:
Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach. Neural Networks 124: 213-222 (2020) - Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao:
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124: 193-201 (2020) - Fenglei Fan, Jinjun Xiong, Ge Wang:
Universal approximation with quadratic deep networks. Neural Networks 124: 383-392 (2020) - Pierson J. Fleischer, Sébastien Hélie:
A unified model of rule-set learning and selection. Neural Networks 124: 343-356 (2020) - Christian Leibold:
A model for navigation in unknown environments based on a reservoir of hippocampal sequences. Neural Networks 124: 328-342 (2020) - Xiaoguang Li, Zhaopeng Gong, Hongxia Yin, Hui Zhang, Zhenchang Wang, Li Zhuo:
A 3D deep supervised densely network for small organs of human temporal bone segmentation in CT images. Neural Networks 124: 75-85 (2020) - Ning Li, Wei Xing Zheng:
Bipartite synchronization for inertia memristor-based neural networks on coopetition networks. Neural Networks 124: 39-49 (2020) - Mingming Liang, Ding Wang, Derong Liu:
Improved value iteration for neural-network-based stochastic optimal control design. Neural Networks 124: 280-295 (2020) - Deyin Liu, Lin Wu, Xue Li, Lin Qi:
Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks. Neural Networks 124: 109-116 (2020) - Nadia Mammone, Cosimo Ieracitano, Francesco Carlo Morabito:
A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level. Neural Networks 124: 357-372 (2020) - Lucas Mansilla, Diego H. Milone, Enzo Ferrante:
Learning deformable registration of medical images with anatomical constraints. Neural Networks 124: 269-279 (2020) - Dennis Singh Moirangthem, Minho Lee:
Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network. Neural Networks 124: 1-11 (2020) - Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
K-Anonymity inspired adversarial attack and multiple one-class classification defense. Neural Networks 124: 296-307 (2020) - Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici:
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments. Neural Networks 124: 243-257 (2020) - Gonzalo Nápoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Wladyslaw Homenda:
Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. Neural Networks 124: 258-268 (2020) - Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben:
EEG based multi-class seizure type classification using convolutional neural network and transfer learning. Neural Networks 124: 202-212 (2020) - Avimanyu Sahoo, Vignesh Narayanan:
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players. Neural Networks 124: 95-108 (2020) - Yuxuan Shen, Zidong Wang, Bo Shen, Fuad E. Alsaadi, Abdullah M. Dobaie:
l2-l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol. Neural Networks 124: 170-179 (2020) - Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk:
Performance boost of time-delay reservoir computing by non-resonant clock cycle. Neural Networks 124: 158-169 (2020) - Yingzhi Tang, Xi Yang, Nannan Wang, Bin Song, Xinbo Gao:
Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression. Neural Networks 124: 223-232 (2020) - Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, Lunke Fei, Hong Liu:
Attention-guided CNN for image denoising. Neural Networks 124: 117-129 (2020) - Dong Wen, Peng Li, Xiaoli Li, Zhenhao Wei, Yanhong Zhou, Huan Pei, Fengnian Li, Zhijie Bian, Lei Wang, Shimin Yin:
The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method. Neural Networks 124: 373-382 (2020) - Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai:
Multi-context aware user-item embedding for recommendation. Neural Networks 124: 86-94 (2020) - Hao Wu, Qimin Zhou, Rencan Nie, Jinde Cao:
Effective metric learning with co-occurrence embedding for collaborative recommendations. Neural Networks 124: 308-318 (2020) - Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng:
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem. Neural Networks 124: 180-192 (2020) - Liran Yang, Ping Zhong:
Robust adaptation regularization based on within-class scatter for domain adaptation. Neural Networks 124: 60-74 (2020) - Juan Yu, Cheng Hu, Haijun Jiang, Leimin Wang:
Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach. Neural Networks 124: 50-59 (2020) - Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang:
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124: 130-145 (2020) - Hao Zhang, Zhixia Ding, Zhigang Zeng:
Adaptive tracking synchronization for coupled reaction-diffusion neural networks with parameter mismatches. Neural Networks 124: 146-157 (2020)
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