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Linda C. van der Gaag

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

66

Venues

13

Active years

1990–2021

Best venue rank

A*

Where they publish

Papers

66 indexed papers, newest first.

YearVenueTitleAuthors
2021ECSQARUGeneralized Rules of Probabilistic Independence.Janneke H. Bolt, Linda C. van der Gaag
2017ECSQARUExploiting Stability for Compact Representation of Independency Models.Linda C. van der Gaag, Stavros Lopatatzidis
2015ECSQARUBalanced Tuning of Multi-dimensional Bayesian Network Classifiers.Janneke H. Bolt, Linda C. van der Gaag
2015ECSQARUComputing Concise Representations of Semi-graphoid Independency Models.Stavros Lopatatzidis, Linda C. van der Gaag
2015ECSQARURelevance of Evidence in Bayesian Networks.Michelle Meekes, Silja Renooij, Linda C. van der Gaag
2015ECSQARUMulti-classifiers of Small Treewidth.Arnoud Pastink, Linda C. van der Gaag
2014ECAIKnowledge-based Bias Correction - A Case Study in Veterinary Decision Support.Thomas E. Krak, Linda C. van der Gaag
2014ECAIThe Persistence of Most Probable Explanations in Bayesian Networks.Arnoud Pastink, Linda C. van der Gaag
2014ECAIProvisional Propagation for Verifying Monotonicity of Bayesian Networks.Merel T. Rietbergen, Linda C. van der Gaag, Hans L. Bodlaender
2014ECAIReal-time Adaptive Problem Detection in Poultry.Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
2014IDAReal-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability.Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
2012IPMUDiscretisation Effects in Naive Bayesian Networks.Roel Bertens, Linda C. van der Gaag, Silja Renooij
2012IPMUExperiences with Eliciting Probabilities from Multiple Experts.Linda C. van der Gaag, Silja Renooij, Hermina Schijf, Armin Elbers, Willie Loeffen
2011ECSQARUOn Stopping Evidence Gathering for Diagnostic Bayesian Networks.Linda C. van der Gaag, Hans L. Bodlaender
2011ECSQARUWhen Learning Naive Bayesian Classifiers Preserves Monotonicity.Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders
2011ECSQARUAttaining Monotonicity for Bayesian Networks.Merel T. Rietbergen, Linda C. van der Gaag
2011ECSQARUUsing the Noisy-OR Model Can Be Harmful ... But It Often Is Not.Steven P. D. Woudenberg, Linda C. van der Gaag
2011SOFSEMThe Complexity of FindingJohan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
2010ECAIThe Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks.Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
2010IPMUAn Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network.Janneke H. Bolt, Linda C. van der Gaag
2010IPMUModelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever.Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers
2009ECSQARUWhen in Doubt ... Be Indecisive.Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen
2008UAIThe Computational Complexity of Sensitivity Analysis and Parameter Tuning.Johan Kwisthout, Linda C. van der Gaag
2007AIMEOn the Behaviour of Information Measures for Test Selection.Danielle Sent, Linda C. van der Gaag
2007AIMEEnhancing Automated Test Selection in Probabilistic Networks.Danielle Sent, Linda C. van der Gaag
2007ECSQARUInference and Learning in Multi-dimensional Bayesian Network Classifiers.Peter R. de Waal, Linda C. van der Gaag
2007UAILibrary-style Ontologies to Support Varying Model Views.Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag
2006FlAIRSSensitivity Analysis of Markovian Models.Theodore Charitos, Linda C. van der Gaag
2006UAISensitivity Analysis for Threshold Decision Making with Dynamic Networks.Theodore Charitos, Linda C. van der Gaag
2005FlAIRSSpeeding Up Inference in Markovian Models.Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag
2005HASKELLHaskell ready to dazzle the real world.Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag
2005UAILearning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences.A. J. Feelders, Linda C. van der Gaag
2005UAIExploiting Evidence-dependent Sensitivity Bounds.Silja Renooij, Linda C. van der Gaag
2005UAIStable Independence in Perfect Maps.Peter R. de Waal, Linda C. van der Gaag
2004ECAIA New MDL-Based Function for Feature Selection for Bayesian Network Classifiers.Madalina M. Drugan, Linda C. van der Gaag
2004ECAIDefining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks.Linda C. van der Gaag, Eveline M. Helsper
2004EKAWDesigning a Procedure for the Acquisition of Probability Constraints for Bayesian Networks.Eveline M. Helsper, Linda C. van der Gaag, Floris Groenendaal
2004UAIMonotonicity in Bayesian Networks.Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders
2004UAIEvidence-invariant Sensitivity Bounds.Silja Renooij, Linda C. van der Gaag
2004UAIStable Independance and Complexity of Representation.Peter R. de Waal, Linda C. van der Gaag
2003AIMEProbabilistic Networks as Probabilistic Forecasters.Linda C. van der Gaag, Silja Renooij
2003AIMECompliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer.Wouter P. van Rijsinge, Linda C. van der Gaag, Frank L. J. Visseren, Yolanda van der Graaf
2003AIMEDetailing Test Characteristics for Probabilistic Networks.Danielle Sent, Linda C. van der Gaag
2003ECSQARUIntroducing Situational Influences in QPNs.Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
2003GECCOBuilding a GA from Design Principles for Learning Bayesian Networks.Steven van Dijk, Dirk Thierens, Linda C. van der Gaag
2003UAIUpgrading Ambiguous Signs in QPNs.Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
2002ECAIOn the Complexity of the MPA Problem in Probabilistic Networks.Hans L. Bodlaender, Frank van den Eijkhof, Linda C. van der Gaag
2002ECAIBuilding Bayesian Networks through Ontologies.Eveline M. Helsper, Linda C. van der Gaag
2002ECAIPropagation of Multiple Observations in QPNs Revisited.Silja Renooij, Linda C. van der Gaag, Simon Parsons
2002EKAWExperiences with Modelling Issues in Building Probabilistic Networks.Linda C. van der Gaag, Eveline M. Helsper
2002UAIFrom Qualitative to Quantitative Probabilistic Networks.Silja Renooij, Linda C. van der Gaag
2001AIMEOn the Evaluation of Probabilistic Networks.Linda C. van der Gaag, Silja Renooij
2001AIMEThe Effects of Disregarding Test Characteristics in Probabilistic Networks.Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen
2001IJCAIContext-specific Sign-propagation in Qualitative Probabilistic Networks.Silja Renooij, Simon Parsons, Linda C. van der Gaag
2001UAIPre-processing for Triangulation of Probabilistic Networks.Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag
2001UAIAnalysing Sensitivity Data from Probabilistic Networks.Linda C. van der Gaag, Silja Renooij
2000FlAIRSZooming in on Trade-Offs in Qualitative Probabilistic Networks.Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons
2000UAIMaking Sensitivity Analysis Computationally Efficient.Uffe Kjrulff, Linda C. van der Gaag
2000UAIPivotal Pruning of Trade-offs in QPNs.Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green
1999UAIHow to Elicit Many Probabilities.Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal
1999UAIEnhancing QPNs for Trade-off Resolution.Silja Renooij, Linda C. van der Gaag
1998FlAIRSDecision Making in Qualitative Influence Diagrams.Silja Renooij, Linda C. van der Gaag
1997EKAWSupporting Probability Elicitation by Sensitivity Analysis.Veerle M. H. Coup, Linda C. van der Gaag
1995UAIElicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information.Marek J. Druzdzel, Linda C. van der Gaag
1993SIGIREfficient Context-Sensitive Plausible Inference for Information Disclosure.Peter Bruza, Linda C. van der Gaag
1990UAIComputing probability intervals under independency constraints.Linda C. van der Gaag