An empirical study of incorporating cost into test suite reduction and prioritization
Proceedings of the 2009 ACM symposium on Applied Computing
When stopword lists make the difference
Journal of the American Society for Information Science and Technology
Empirically studying the role of selection operators duringsearch-based test suite prioritization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
With a little help from my friends: can social navigation inform interpersonal privacy preferences?
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Stay at home, wash your hands: epidemic dynamics with awareness of infection
Proceedings of the 2010 Summer Computer Simulation Conference
Estimation of distribution algorithms: from available implementations to potential developments
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
SIRALINA: efficient two-steps heuristic for storage optimisation in single period task scheduling
Journal of Combinatorial Optimization
Authorship Attribution Based on Specific Vocabulary
ACM Transactions on Information Systems (TOIS)
A bootstrap approach for lower injury levels of the risk curves
Computer Methods and Programs in Biomedicine
Spatio-Explorative analysis and its benefits for a GIS-integrated automated feature identification
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Influence of relaxed dominance criteria in multiobjective evolutionary algorithms
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Optimizing monitoring of finite state properties through monitor compaction
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Predicting user personality by mining social interactions in Facebook
Journal of Computer and System Sciences
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The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the authors bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines. Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities. Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.