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ORCIDNeurocomputing, Volume 160
Volume 160, July 2015
- Benoît Frénay, Ata Kabán:
Special issue on advances in learning with label noise. 1-2 - Fabien Rico, Fabrice Muhlenbach, Djamel A. Zighed, Stéphane Lallich:
Comparison of two topological approaches for dealing with noisy labeling. 3-17 - Maryam Sabzevari, Gonzalo Martínez-Muñoz
, Alberto Suárez:
Small margin ensembles can be robust to class-label noise. 18-33 - Sahely Bhadra, Matthias Hein:
Correction of noisy labels via mutual consistency check. 34-52 - Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli:
Support vector machines under adversarial label contamination. 53-62 - Fabricio A. Breve, Liang Zhao, Marcos G. Quiles:
Particle competition and cooperation for semi-supervised learning with label noise. 63-72 - Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor:
A robust ensemble approach to learn from positive and unlabeled data using SVM base models. 73-84 - Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. 85-92 - Aritra Ghosh, Naresh Manwani, P. S. Sastry:
Making risk minimization tolerant to label noise. 93-107 - Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
Effect of label noise in the complexity of classification problems. 108-119 - Borut Sluban, Nada Lavrac:
Relating ensemble diversity and performance: A study in class noise detection. 120-131 - Keisuke Yamazaki:
Accuracy analysis of semi-supervised classification when the class balance changes. 132-140 - Yunus Emre Kara, Gaye Genç, Oya Aran, Lale Akarun:
Modeling annotator behaviors for crowd labeling. 141-156 - Nenad Tomasev, Krisztián Búza:
Hubness-aware kNN classification of high-dimensional data in presence of label noise. 157-172
- Guoqiang Zeng, Jie Chen, Yu-Xing Dai, Li-Min Li, Chong-Wei Zheng, Min-Rong Chen:
Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization. 173-184 - Fengli Ren, Feng Cao, Jinde Cao:
Mittag-Leffler stability and generalized Mittag-Leffler stability of fractional-order gene regulatory networks. 185-190 - Yehui Yang, Yuan Xie, Wensheng Zhang, Wenrui Hu, Yuanhua Tan:
Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking. 191-205 - Chengjie Xu, Ying Zheng, Housheng Su, Hong-bin Zeng:
Containment for linear multi-agent systems with exogenous disturbances. 206-212 - Ahsan Raja Chowdhury, Madhu Chetty:
Network decomposition based large-scale reverse engineering of gene regulatory network. 213-227 - Xiaopeng Hua, Shifei Ding:
Weighted least squares projection twin support vector machines with local information. 228-237 - Min Xia, Weitao Lu, Jun Yang, Ying Ma, Wen Yao, Zichen Zheng:
A hybrid method based on extreme learning machine and k-nearest neighbor for cloud classification of ground-based visible cloud image. 238-249 - Kui Jia, Lin Sun, Shenghua Gao, Zhan Song, Bertram E. Shi:
Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold. 250-260 - Mohammad Mohammadian, Hamid Reza Momeni, Hazhar Sufi Karimi, Iman Shafikhani, Mahdieh Tahmasebi:
An LPV based robust peak-to-peak state estimation for genetic regulatory networks with time varying delay. 261-273 - Jun Cheng, Lianglin Xiong:
Improved integral inequality approach on stabilization for continuous-time systems with time-varying input delay. 274-280 - Piyapong Niamsup, K. Ratchagit, Vu Ngoc Phat:
Novel criteria for finite-time stabilization and guaranteed cost control of delayed neural networks. 281-286 - Changhui Hu, Mengjun Ye, Saiping Ji, Weili Zeng, Xiaobo Lu:
A new face recognition method based on image decomposition for single sample per person problem. 287-299 - Fan Zhou, Can Zhong, Qi Zheng:
Method for fundamental matrix estimation combined with feature lines. 300-307 - Giuseppe Placidi, Danilo Avola, Andrea Petracca, Fiorella Sgallari, Matteo Spezialetti:
Basis for the implementation of an EEG-based single-trial binary brain computer interface through the disgust produced by remembering unpleasant odors. 308-318
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