Utility-preserving transaction data anonymization with low information loss [0.03%]
低信息损失的保效用交易数据匿名化方法
Grigorios Loukides,Aris Gkoulalas-Divanis
Grigorios Loukides
Transaction data record various information about individuals, including their purchases and diagnoses, and are increasingly published to support large-scale and low-cost studies in domains such as marketing and medicine. However, the disse...
Automated Recognition of Robotic Manipulation Failures in High-throughput Biodosimetry Tool [0.03%]
高通量生物剂量学工具中机器人操作失败的自动识别方法研究
Youhua Chen,Hongliang Wang,Jian Zhang et al.
Youhua Chen et al.
A completely automated, high-throughput biodosimetry workstation has been developed by the Center for Minimally Invasive Radiation Biodosimetry at Columbia University over the past few years. To process patients' blood samples safely and re...
Multi Groups Cooperation based Symbiotic Evolution for TSK-type Neuro-Fuzzy Systems Design [0.03%]
基于协同进化的方法设计TSK型神经模糊系统
Yi-Chang Cheng,Yung-Chi Hsu,Sheng-Fuu Lin
Yi-Chang Cheng
In this paper, a TSK-type neuro-fuzzy system with multi groups cooperation based symbiotic evolution method (TNFS-MGCSE) is proposed. The TNFS-MGCSE is developed from symbiotic evolution. The symbiotic evolution is different from traditiona...
Grammatical Evolution for Features of Epileptic Oscillations in Clinical Intracranial Electroencephalograms [0.03%]
临床颅内脑电图癫痫振荡的特征的语法进化
Otis Smart,Ioannis G Tsoulos,Dimitris Gavrilis et al.
Otis Smart et al.
This paper presents grammatical evolution (GE) as an approach to select and combine features for detecting epileptic oscillations within clinical intracranial electroencephalogram (iEEG) recordings of patients with epilepsy. Clinical iEEG i...
Genetic algorithm-based feature selection in high-resolution NMR spectra [0.03%]
基于遗传算法的高分辨率核磁共振谱特征选择方法
Hyun-Woo Cho,Seoung Bum Kim,Myong K Jeong et al.
Hyun-Woo Cho et al.
High-resolution nuclear magnetic resonance (NMR) spectroscopy has provided a new means for detection and recognition of metabolic changes in biological systems in response to pathophysiological stimuli and to the intake of toxins or nutriti...
Sumeet Dua,Harpreet Singh,H W Thompson
Sumeet Dua
In this paper, we present a novel method for the classification of mammograms using a unique weighted association rule based classifier. Images are preprocessed to reveal regions of interest. Texture components are extracted from segmented ...