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Publication search results
found 44 matches
- 2020
- Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis:
Audio-visual domain adaptation using conditional semi-supervised Generative Adversarial Networks. Neurocomputing 397: 331-344 (2020) - Xiao Chen, Lin Zhao, Jinpeng Yu:
Adaptive neural finite-time bipartite consensus tracking of nonstrict feedback nonlinear coopetition multi-agent systems with input saturation. Neurocomputing 397: 168-178 (2020) - Raisa Dzhamtyrova, Yuri Kalnishkan:
Universal algorithms for multinomial logistic regression under Kullback-Leibler game. Neurocomputing 397: 369-380 (2020) - Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters:
Special Issue on Conformal and Probabilistic Prediction with Applications. Neurocomputing 397: 264-265 (2020) - Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing 397: 48-59 (2020) - Tianze Gao, Nan Wang, Jun Cai, Weiyang Lin, Xinghu Yu, Jianbin Qiu, Huijun Gao:
Explicitly exploiting hierarchical features in visual object tracking. Neurocomputing 397: 203-211 (2020) - Li Guo, Runze Li, Bin Jiang, Xing Shen:
Automatic crack distress classification from concrete surface images using a novel deep-width network architecture. Neurocomputing 397: 383-392 (2020) - Thien Huynh-The, Cam-Hao Hua, Nguyen Anh Tu, Dong-Seong Kim:
Learning 3D spatiotemporal gait feature by convolutional network for person identification. Neurocomputing 397: 192-202 (2020) - Leyuan Jia, Yu Gu, Ken Cheng, Huan Yan, Fuji Ren:
BeAware: Convolutional neural network(CNN) based user behavior understanding through WiFi channel state information. Neurocomputing 397: 457-463 (2020) - Nikita Klyuchnikov, Evgeny Burnaev:
Gaussian process classification for variable fidelity data. Neurocomputing 397: 345-355 (2020) - Masaki Kobayashi:
Matrix-valued twin-multistate Hopfield neural networks. Neurocomputing 397: 108-113 (2020) - Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Adaptive hedging under delayed feedback. Neurocomputing 397: 356-368 (2020) - Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya:
Ensemble learning based predictive framework for virtual machine resource request prediction. Neurocomputing 397: 20-30 (2020) - Man Li, Qichao Ma, Chongjian Zhou, Jiahu Qin, Yu Kang:
Distributed time-varying group formation control for generic linear systems with observer-based protocols. Neurocomputing 397: 244-252 (2020) - Henrik Linusson, Ulf Johansson, Henrik Boström:
Efficient conformal predictor ensembles. Neurocomputing 397: 266-278 (2020) - Xiangjie Liu, Hao Zhang, Xiaobing Kong, Kwang Y. Lee:
Wind speed forecasting using deep neural network with feature selection. Neurocomputing 397: 393-403 (2020) - Satoshi Nakagawa, Daiki Enomoto, Shogo Yonekura, Hoshinori Kanazawa, Yasuo Kuniyoshi:
New telecare approach based on 3D convolutional neural network for estimating quality of life. Neurocomputing 397: 464-476 (2020) - Ilia Nouretdinov, James Gammerman, Matteo Fontana, Daljit Rehal:
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection. Neurocomputing 397: 279-291 (2020) - Chen Peng, Dong Yue:
Intelligent sensing, neural computing and applications. Neurocomputing 397: 381-382 (2020) - Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini:
Efficient continual learning in neural networks with embedding regularization. Neurocomputing 397: 139-148 (2020) - Hongyi Qu, Dewei Li, Ridong Zhang, Shuang-Hua Yang, Furong Gao:
A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production. Neurocomputing 397: 70-93 (2020) - Christoph Raab, Frank-Michael Schleif:
Transfer learning extensions for the probabilistic classification vector machine. Neurocomputing 397: 320-330 (2020) - Milad Shahvali, Ali Azarbahram, Mohammad-Bagher Naghibi-Sistani, Javad Askari:
Bipartite consensus control for fractional-order nonlinear multi-agent systems: An output constraint approach. Neurocomputing 397: 212-223 (2020) - Zhigang Sun, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter:
Feature reduction based on semantic similarity for graph classification. Neurocomputing 397: 114-126 (2020) - Jian Sun, Zhanshan Wang:
Consensus of multi-agent systems with intermittent communications via sampling time unit approach. Neurocomputing 397: 149-159 (2020) - Liyan Sun, Yawen Wu, Binglin Shu, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A dual-domain deep lattice network for rapid MRI reconstruction. Neurocomputing 397: 94-107 (2020) - Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Computationally efficient versions of conformal predictive distributions. Neurocomputing 397: 292-308 (2020) - Zhihong Wang, Yi Guo:
Rumor events detection enhanced by encoding sentimental information into time series division and word representations. Neurocomputing 397: 224-243 (2020) - Huanqing Wang, Siwen Liu, Wen Bai:
Adaptive neural tracking control for non-affine nonlinear systems with finite-time output constraint. Neurocomputing 397: 60-69 (2020) - Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu:
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing 397: 11-19 (2020)
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