VANHOOF, Koen

Full Name
VANHOOF, Koen
Email
koen.vanhoof@uhasselt.be
 
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Publications

Refined By:
Author:  WETS, Geert

Results 61-80 of 116 (Search time: 0.008 seconds).

Issue DateTitleContributor(s)TypeCat.
612004Exploiting sensitivity analysis in Bayesian networks for customer satisfaction studyJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC1
622004Evaluating the use of Bayesian networks in a sequential rule-based model for activity scheduling behaviourJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
632004Simulating activity diary data by means of sequential probability information: development and evaluation of an initial frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
642004Approximating activity diary data by taking sequential dependencies into account: development of a simulation frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
652004Applying Bayesian networks in practical customer satisfaction studiesJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC1
662004The simulation of activity diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
672004Using sequential probability distributions in the simulation of activity diary dataJANSSENS, Davy; BRIJS, Tom; VANHOOF, Koen; WETS, GeertConference MaterialC2
682004Ranking and selecting dangerous accident locations: correcting for the number of passengers and Bayesian ranking plotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; KARLIS, Dimitris; VANHOOF, KoenResearch ReportR2
692004Mining navigation patterns using a sequence alignment methodHAY, Birgit; WETS, Geert; VANHOOF, KoenJournal ContributionA1
702004A multivariate Poisson mixture model for marketing applicationsBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, Geert; Manchanda, P.Journal ContributionA1
712004Improving performance of multiagent rule-based model for activity pattern decisions with Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Arentze, Theo A.; TIMMERMANS, HarryJournal ContributionA1
722004Identification and ranking of black spots - Sensitivity analysisGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
732004Building an association rules framework to improve product assortment decisionsBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
742003Integrating classification and association rules by proposing adaptations to the CBA algorithmJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
752003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
762003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
772003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
782003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
792003Web Usage Mining by means of Multidimensional Sequence Alignment MethodsHAY, Birgit; WETS, Geert; VANHOOF, KoenJournal ContributionA1
802003Creating synthetic diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2