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Abductive concept learning
(2000)
We investigate how abduction and induction can be integrated into a common learning framework. In particular, we consider an extension of Inductive Logic Programming (ILP) for the case in which both the background and the ...
Association rule analysis for the assessment of the risk of coronary heart events.
(2009)
Although significant progress has been made in the diagnosis and treatment of coronary heart disease (CHD), further investigation is still needed. The objective of this study was to develop a data mining system using ...
Feature mapping through maximization of the atomic interclass distances
(2015)
We discuss a way of implementing feature mapping for classification problems by expressing the given data through a set of functions comprising of a mixture of convex functions. In this way, a certain pattern’s potential ...
Assessment of the risk factors of coronary heart events based on data mining with decision trees
(2010)
Coronary heart disease (CHD) is one of the major causes of disability in adults as well as one of the main causes of death in the developed countries. Although significant progress has been made in the diagnosis and treatment ...
Texture Analysis of Ultrasonic Images of Symptomatic Carotid Plaques can Identify Those Plaques Associated with Ipsilateral Embolic Brain Infarction
(2007)
Objectives: The aim of our study was to determine the association between objective, computerised texture analysis of carotid plaque ultrasonic images and embolic CT-brain infarction in patients presenting with hemispheric ...
LiSIs: An online scientific workflow system for virtual screeningAAA
(2015)
Modern methods of drug discovery and development in recent years make a wide use of computational algorithms. These methods utilise Virtual Screening (VS), which is the computational counterpart of experimental screening. ...
In-network data acquisition and replication in mobile sensor networks
(2011)
This paper assumes a set of n mobile sensors that move in the Euclidean plane as a swarm. Our objectives are to explore a given geographic region by detecting and aggregating spatiooral events of interest and to store these ...
Optimized query routing trees for wireless sensor networks
(2011)
In order to process continuous queries over Wireless Sensor Networks (WSNs), sensors are typically organized in a Query Routing Tree (denoted as T) that provides each sensor with a path over which query results can be ...
Learning systems in biosignal analysis
(1997)
In biosignal analysis, the utility of artificial neural networks (ANN) in classifying electromyographic (EMG) data trained with the momentum back propagation algorithm has recently been demonstrated. In the current study, ...
Content Delivery Networks: Status and Trends
(2003)
An insight into the content delivery networks (CDN) architecture and popular CDN service providers is performed. CDNs improve network performance and offer fast and reliable applications and services by distributing content ...