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ORCIDNeurocomputing, Volume 92
Volume 92, September 2012
- Xingquan Zhu
:
Special issue on data mining applications and case study. 1-2 - David Delgado-Gómez, Hilario Blasco-Fontecilla, Federico Sukno, Maria Socorro Ramos-Plasencia, Enrique Baca-García:
Suicide attempters classification: Toward predictive models of suicidal behavior. 3-8 - Chen Wang, Sook S. Ha, Jianhua Xuan, Yue Joseph Wang, Eric P. Hoffman:
Computational analysis of muscular dystrophy sub-types using a novel integrative scheme. 9-17 - Guangzhi Qu, Hui Wu, Craig T. Hartrick, Jianwei Niu:
Local analgesia adverse effects prediction using multi-label classification. 18-27 - Elpiniki I. Papageorgiou, Wojciech Froelich:
Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps. 28-35 - Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins:
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data. 36-43 - Junjie Wang, Shuigeng Zhou, Jihong Guan:
Detecting potential collusive cliques in futures markets based on trading behaviors from real data. 44-53 - Dan Shen, Jean-David Ruvini, Rajyashree Mukherjee, Neel Sundaresan:
A study of smoothing algorithms for item categorization on e-commerce sites. 54-60 - Tsung-Ju Lee, Shian-Shyong Tseng:
Easy-to-explain feature synthesis approach for recommending entertainment video. 61-68 - Jing He, Yanchun Zhang, Guangyan Huang:
Exceptional Object Analysis for Finding Rare Environmental Events from water quality datasets. 69-77 - Siyi Liu, Wei Ding, Feng Gao, Tomasz F. Stepinski:
Adaptive Selective Learning for automatic identification of sub-kilometer craters. 78-87 - Cheng Hua Li, Jimmy Xiangji Huang:
Spam filtering using semantic similarity approach and adaptive BPNN. 88-97 - Jonathan Ortigosa-Hernández, Juan Diego Rodríguez, Leandro Alzate, Manuel Lucania, Iñaki Inza, José Antonio Lozano:
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers. 98-115 - Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong:
Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. 116-123 - Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
Software measurement data reduction using ensemble techniques. 124-132 - Ming Hua, Jian Pei:
Clustering in applications with multiple data sources - A mutual subspace clustering approach. 133-144 - Xindong Wu, Pei-Pei Li, Xuegang Hu:
Learning from concept drifting data streams with unlabeled data. 145-155 - Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou:
Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets. 156-169 - Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo:
A framework for application-driven classification of data streams. 170-182
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