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Publication search results
found 20 matches
- 2017
- Ayça Deniz, Hakan Ezgi Kiziloz, Tansel Dökeroglu, Ahmet Cosar:
Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques. Neurocomputing 241: 128-146 (2017) - Alberto Diez-Olivan, José A. Pagán, Ricardo Sanz, Basilio Sierra:
Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score. Neurocomputing 241: 97-107 (2017) - Shiqiang Du, Yide Ma, Shouliang Li, Yurun Ma:
Robust unsupervised feature selection via matrix factorization. Neurocomputing 241: 115-127 (2017) - Xianghua Fu, Wangwang Liu, Yingying Xu, Laizhong Cui:
Combine HowNet lexicon to train phrase recursive autoencoder for sentence-level sentiment analysis. Neurocomputing 241: 18-27 (2017) - Feng Guo, Jingchang Huang, Xin Zhang, Xing You, Xingshui Zu, Qin Zhao, Yuanyuan Ding, Huawei Liu, Baoqing Li:
A classification method for moving targets in the wild based on microphone array and linear sparse auto-encoder. Neurocomputing 241: 28-37 (2017) - Yan Huang, Hao Sheng, Yanwei Zheng, Zhang Xiong:
DeepDiff: Learning deep difference features on human body parts for person re-identification. Neurocomputing 241: 191-203 (2017) - Masaki Kobayashi:
Chaotic pseudo-orthogonalized Hopfield associative memory. Neurocomputing 241: 147-151 (2017) - Xiaoping Liu, Huanqing Wang, Chuang Gao, Ming Chen:
Adaptive fuzzy funnel control for a class of strict feedback nonlinear systems. Neurocomputing 241: 71-80 (2017) - Ali Mirzaei, Yalda Mohsenzadeh, Hamid Sheikhzadeh:
Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection. Neurocomputing 241: 181-190 (2017) - Md Mursalin, Yuan Zhang, Yuehui Chen, Nitesh V. Chawla:
Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier. Neurocomputing 241: 204-214 (2017) - Harris Partaourides, Sotirios P. Chatzis:
Asymmetric deep generative models. Neurocomputing 241: 90-96 (2017) - Xingyi Ren, Meina Song, Haihong E, Junde Song:
Context-aware probabilistic matrix factorization modeling for point-of-interest recommendation. Neurocomputing 241: 38-55 (2017) - Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Group sparse regularization for deep neural networks. Neurocomputing 241: 81-89 (2017) - Bo Tang, Haibo He:
A local density-based approach for outlier detection. Neurocomputing 241: 171-180 (2017) - Jie Tao, Renquan Lu, Hongye Su, Zheng-Guang Wu, Yong Xu:
Dissipativity-based asynchronous state estimation for Markov jump neural networks with jumping fading channels. Neurocomputing 241: 56-63 (2017) - Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang:
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. Neurocomputing 241: 152-163 (2017) - Yamin Yan, Jie Huang:
Cooperative output regulation of discrete-time linear time-delay multi-agent systems under switching network. Neurocomputing 241: 108-114 (2017) - Hui Yu, Xiaohua Xia:
Adaptive leaderless consensus of agents in jointly connected networks. Neurocomputing 241: 64-70 (2017) - Rui Zhang, Feiping Nie, Xuelong Li:
Self-weighted spectral clustering with parameter-free constraint. Neurocomputing 241: 164-170 (2017) - Yong-Ping Zhao, Zhi-Qiang Li, Peng-Peng Xi, Dong Liang, Liguo Sun, Tinghao Chen:
Gram-Schmidt process based incremental extreme learning machine. Neurocomputing 241: 1-17 (2017)
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