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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 11 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
ICWS
2008
IEEE
13 years 9 months ago
Discovering Reference Process Models by Mining Process Variants
Recently, a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which allows for dynamic process and service changes (e.g., to insert, delete, and mov...
Chen Li, Manfred Reichert, Andreas Wombacher
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 9 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
ECIS
2004
13 years 9 months ago
The problem of integrating ethics into IS practice
In this paper we discuss a number of implications which follow from the way that the information systems discipline has developed, largely separately, from computer ethics. These ...
Frances Bell, Alison Adam
MM
2010
ACM
252views Multimedia» more  MM 2010»
13 years 8 months ago
Real-time detection of unusual regions in image streams
Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
Rene Schuster, Roland Mörzinger, Werner Haas,...