A conceptual model for inexact reasoning in rule-based systems. - Linda C. van der Gaag (Int. J. Approx. Reason., 1989)

Computing probability intervals under independency constraints. - Linda C. van der Gaag (UAI, 1990)

Different Notions of Uncertainty in Quasi-Probabilistic Models. - Linda C. van der Gaag (Int. J. Man Mach. Stud., 1990)

Principles of expert systems. - Peter J. F. Lucas; Linda C. van der Gaag (Addison-Wesley, 1991)

Efficient Context-Sensitive Plausible Inference for Information Disclosure. - Peter Bruza; Linda C. van der Gaag (SIGIR, 1993)

The LazyRMS: Avoiding Work in the ATMS. - Gerry Kelleher; Linda C. van der Gaag (Comput. Intell., 1993)

A Case-based Filter for Diagnostic Belief Networks. - Niels Peek; Linda C. van der Gaag (SCAI, 1995)

Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. - Marek J. Druzdzel; Linda C. van der Gaag (UAI, 1995)

Bayesian Belief Networks: Odds and Ends. - Linda C. van der Gaag (Comput. J., 1996)

On evidence absorption for belief networks. - Linda C. van der Gaag (Int. J. Approx. Reason., 1996)

Supporting Probability Elicitation by Sensitivity Analysis. - Veerle M. H. Coupé; Linda C. van der Gaag (EKAW, 1997)

Decision Making in Qualitative Influence Diagrams. - Silja Renooij; Linda C. van der Gaag (FLAIRS, 1998)

Informational independence: Models and normal forms. - Linda C. van der Gaag; John-Jules Ch. Meyer (Int. J. Intell. Syst., 1998)

Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks. - Linda C. van der Gaag; Veerle M. H. Coupé (AI*IA, 1999)

How to Elicit Many Probabilities. - Linda C. van der Gaag; Silja Renooij; C. L. M. Witteman; Berthe M. P. Aleman; Babs G. Taal (UAI, 1999)

Enhancing QPNs for Trade-off Resolution. - Silja Renooij; Linda C. van der Gaag (UAI, 1999)

Zooming in on Trade-Offs in Qualitative Probabilistic Networks. - Silja Renooij; Linda C. van der Gaag; Shaw Green; Simon Parsons (FLAIRS, 2000)

Making Sensitivity Analysis Computationally Efficient. - Uffe Kjærulff; Linda C. van der Gaag (UAI, 2000)

Pivotal Pruning of Trade-offs in QPNs. - Silja Renooij; Linda C. van der Gaag; Simon Parsons; Shaw Green (UAI, 2000)

Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. - Marek J. Druzdzel; Linda C. van der Gaag (IEEE Trans. Knowl. Data Eng., 2000)

On the Evaluation of Probabilistic Networks. - Linda C. van der Gaag; Silja Renooij (AIME, 2001)

The Effects of Disregarding Test Characteristics in Probabilistic Networks. - Linda C. van der Gaag; C. L. M. Witteman; Silja Renooij; Michael Egmont-Petersen (AIME, 2001)

Pre-processing for Triangulation of Probabilistic Networks. - Hans L. Bodlaender; Arie M. C. A. Koster; Frank van den Eijkhof; Linda C. van der Gaag (UAI, 2001)

Analysing Sensitivity Data from Probabilistic Networks. - Linda C. van der Gaag; Silja Renooij (UAI, 2001)

On the Complexity of the MPA Problem in Probabilistic Networks. - Hans L. Bodlaender; Frank van den Eijkhof; Linda C. van der Gaag (ECAI, 2002)

Building Bayesian Networks through Ontologies. - Eveline M. Helsper; Linda C. van der Gaag (ECAI, 2002)

Propagation of Multiple Observations in QPNs Revisited. - Silja Renooij; Linda C. van der Gaag; Simon Parsons (ECAI, 2002)

Experiences with Modelling Issues in Building Probabilistic Networks. - Linda C. van der Gaag; Eveline M. Helsper (EKAW, 2002)

From Qualitative to Quantitative Probabilistic Networks. - Silja Renooij; Linda C. van der Gaag (UAI, 2002)

Context-specific sign-propagation in qualitative probabilistic networks. - Silja Renooij; Linda C. van der Gaag; Simon Parsons (Artif. Intell., 2002)

Properties of Sensitivity Analysis of Bayesian Belief Networks. - Veerle M. H. Coupé; Linda C. van der Gaag (Ann. Math. Artif. Intell., 2002)

Probabilities for a probabilistic network: a case study in oesophageal cancer. - Linda C. van der Gaag; Silja Renooij; C. L. M. Witteman; Berthe M. P. Aleman; Babs G. Taal (Artif. Intell. Medicine, 2002)

Probabilistic Networks as Probabilistic Forecasters. - Linda C. van der Gaag; Silja Renooij (AIME, 2003)

Compliance 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 (AIME, 2003)

Detailing Test Characteristics for Probabilistic Networks. - Danielle Sent; Linda C. van der Gaag (AIME, 2003)

Introducing Situational Influences in QPNs. - Janneke H. Bolt; Linda C. van der Gaag; Silja Renooij (ECSQARU, 2003)

Building a GA from Design Principles for Learning Bayesian Networks. - Steven van Dijk; Dirk Thierens; Linda C. van der Gaag (GECCO, 2003)

On the Use of Vignettes for Eliciting Test-Selection Strategies. - Danielle Sent; Linda C. van der Gaag; Cilia Witteman; Berthe M. P. Aleman; Babs G. Taal (MIE, 2003)

A Skeleton-Based Approach to Learning Bayesian Networks from Data. - Steven van Dijk; Linda C. van der Gaag; Dirk Thierens (PKDD, 2003)

Upgrading Ambiguous Signs in QPNs. - Janneke H. Bolt; Silja Renooij; Linda C. van der Gaag (UAI, 2003)

A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. - Madalina M. Drugan; Linda C. van der Gaag (ECAI, 2004)

Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks. - Linda C. van der Gaag; Eveline M. Helsper (ECAI, 2004)

Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks. - Eveline M. Helsper; Linda C. van der Gaag; Floris Groenendaal (EKAW, 2004)

Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. - Rosa Blanco; Linda C. van der Gaag; Iñaki Inza; Pedro Larrañaga (ISBMDA, 2004)

On the Robustness of Feature Selection with Absent and Non-observed Features. - Petra L. Geenen; Linda C. van der Gaag; Willie Loeffen; Armin Elbers (ISBMDA, 2004)

Monotonicity in Bayesian Networks. - Linda C. van der Gaag; Hans L. Bodlaender; A. J. Feelders (UAI, 2004)

Evidence-invariant Sensitivity Bounds. - Silja Renooij; Linda C. van der Gaag (UAI, 2004)

Stable Independance and Complexity of Representation. - Peter R. de Waal; Linda C. van der Gaag (UAI, 2004)

Bayesian networks in biomedicine and health-care. - Peter J. F. Lucas; Linda C. van der Gaag; Ameen Abu-Hanna (Artif. Intell. Medicine, 2004)

Speeding Up Inference in Markovian Models. - Theodore Charitos; Peter R. de Waal; Linda C. van der Gaag (FLAIRS, 2005)

Haskell ready to dazzle the real world. - Martijn M. Schrage; Arjan van IJzendoorn; Linda C. van der Gaag (Haskell, 2005)

Bringing order into bayesian-network construction. - Eveline M. Helsper; Linda C. van der Gaag; A. J. Feelders; Willie Loeffen; Petra L. Geenen; Armin Elbers (K-CAP, 2005)

Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. - A. J. Feelders; Linda C. van der Gaag (UAI, 2005)

Exploiting Evidence-dependent Sensitivity Bounds. - Silja Renooij; Linda C. van der Gaag (UAI, 2005)

Stable Independence in Perfect Maps. - Peter R. de Waal; Linda C. van der Gaag (UAI, 2005)

Generalised reliability characteristics for probabilistic networks. - Danielle Sent; Linda C. van der Gaag (Artif. Intell. Medicine, 2005)

Introducing situational signs in qualitative probabilistic networks. - Janneke H. Bolt; Linda C. van der Gaag; Silja Renooij (Int. J. Approx. Reason., 2005)

Sensitivity Analysis of Markovian Models. - Theodore Charitos; Linda C. van der Gaag (FLAIRS, 2006)

Automated Test Selection in Decision-Support Systems: a Case Study in Oncology. - Danielle Sent; Linda C. van der Gaag (MIE, 2006)

Preprocessing the MAP Problem. - Janneke H. Bolt; Linda C. van der Gaag (Probabilistic Graphical Models, 2006)

Lattices for Studying Monotonicity of Bayesian Networks. - Linda C. van der Gaag; Silja Renooij; Petra L. Geenen (Probabilistic Graphical Models, 2006)

Multi-dimensional Bayesian Network Classifiers. - Linda C. van der Gaag; Peter R. de Waal (Probabilistic Graphical Models, 2006)

Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. - Theodore Charitos; Linda C. van der Gaag (UAI, 2006)

Learning Bayesian network parameters under order constraints. - A. J. Feelders; Linda C. van der Gaag (Int. J. Approx. Reason., 2006)

On the Behaviour of Information Measures for Test Selection. - Danielle Sent; Linda C. van der Gaag (AIME, 2007)

Enhancing Automated Test Selection in Probabilistic Networks. - Danielle Sent; Linda C. van der Gaag (AIME, 2007)

Inference and Learning in Multi-dimensional Bayesian Network Classifiers. - Peter R. de Waal; Linda C. van der Gaag (ECSQARU, 2007)

Convergence in Markovian models with implications for efficiency of inference. - Theodore Charitos; Peter R. de Waal; Linda C. van der Gaag (Int. J. Approx. Reason., 2007)

Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. - Eveline M. Helsper; Linda C. van der Gaag (Knowl. Eng. Rev., 2007)

The Computational Complexity of Sensitivity Analysis and Parameter Tuning. - Johan Kwisthout; Linda C. van der Gaag (UAI, 2008)

Enhanced qualitative probabilistic networks for resolving trade-offs. - Silja Renooij; Linda C. van der Gaag (Artif. Intell., 2008)

Evidence and scenario sensitivities in naive Bayesian classifiers. - Silja Renooij; Linda C. van der Gaag (Int. J. Approx. Reason., 2008)

When in Doubt ... Be Indecisive. - Linda C. van der Gaag; Silja Renooij; Wilma Steeneveld; Henk Hogeveen (ECSQARU, 2009)

Aligning Bayesian Network Classifiers with Medical Contexts. - Linda C. van der Gaag; Silja Renooij; Ad Feelders; Arend de Groote; Marinus J. C. Eijkemans; Frank J. Broekmans; Bart C. J. M. Fauser (MLDM, 2009)

A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. - Theodore Charitos; Linda C. van der Gaag; Stefan Visscher; Karin Schurink; Peter J. F. Lucas (Expert Syst. Appl., 2009)

Preface. - Linda C. van der Gaag; Russell G. Almond (Int. J. Approx. Reason., 2009)

Verifying monotonicity of Bayesian networks with domain experts. - Linda C. van der Gaag; Hermina J. M. Tabachneck-Schijf; Petra L. Geenen (Int. J. Approx. Reason., 2009)

The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. - Johan Kwisthout; Hans L. Bodlaender; Linda C. van der Gaag (ECAI, 2010)

An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. - Janneke H. Bolt; Linda C. van der Gaag (IPMU (1), 2010)

Modelling 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 (IPMU, 2010)

Library-style ontologies to support varying model views. - Linda C. van der Gaag; Hermina J. M. Tabachneck-Schijf (Int. J. Approx. Reason., 2010)

On Stopping Evidence Gathering for Diagnostic Bayesian Networks. - Linda C. van der Gaag; Hans L. Bodlaender (ECSQARU, 2011)

When Learning Naive Bayesian Classifiers Preserves Monotonicity. - Barbara F. I. Pieters; Linda C. van der Gaag; Ad Feelders (ECSQARU, 2011)

Attaining Monotonicity for Bayesian Networks. - Merel T. Rietbergen; Linda C. van der Gaag (ECSQARU, 2011)

Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not. - Steven P. D. Woudenberg; Linda C. van der Gaag (ECSQARU, 2011)

The Complexity of Finding kth Most Probable Explanations in Probabilistic Networks. - Johan Kwisthout; Hans L. Bodlaender; Linda C. van der Gaag (SOFSEM, 2011)

Discretisation Effects in Naive Bayesian Networks. - Roel Bertens; Linda C. van der Gaag; Silja Renooij (IPMU (3), 2012)

Experiences with Eliciting Probabilities from Multiple Experts. - Linda C. van der Gaag; Silja Renooij; Hermina Schijf; Armin Elbers; Willie Loeffen (IPMU (3), 2012)

Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (2007) - Ronald Parr; Linda C. van der Gaag (CoRR, 2012)

Knowledge-based Bias Correction - A Case Study in Veterinary Decision Support. - Thomas E. Krak; Linda C. van der Gaag (ECAI, 2014)

The Persistence of Most Probable Explanations in Bayesian Networks. - Arnoud Pastink; Linda C. van der Gaag (ECAI, 2014)

Provisional Propagation for Verifying Monotonicity of Bayesian Networks. - Merel T. Rietbergen; Linda C. van der Gaag; Hans L. Bodlaender (ECAI, 2014)

Real-time Adaptive Problem Detection in Poultry. - Steven P. D. Woudenberg; Linda C. van der Gaag; Ad Feelders; Armin R. W. Elbers (ECAI, 2014)

Real-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 (IDA, 2014)

Balanced Tuning of Multi-dimensional Bayesian Network Classifiers. - Janneke H. Bolt; Linda C. van der Gaag (ECSQARU, 2015)

Computing Concise Representations of Semi-graphoid Independency Models. - Stavros Lopatatzidis; Linda C. van der Gaag (ECSQARU, 2015)

Relevance of Evidence in Bayesian Networks. - Michelle Meekes; Silja Renooij; Linda C. van der Gaag (ECSQARU, 2015)

Multi-classifiers of Small Treewidth. - Arnoud Pastink; Linda C. van der Gaag (ECSQARU, 2015)

Propagation effects of model-calculated probability values in Bayesian networks. - Steven P. D. Woudenberg; Linda C. van der Gaag (Int. J. Approx. Reason., 2015)

An intercausal cancellation model for Bayesian-network engineering. - Steven P. D. Woudenberg; Linda C. van der Gaag; Carin M. A. Rademaker (Int. J. Approx. Reason., 2015)

Learning from incomplete data in Bayesian networks with qualitative influences. - Andrés R. Masegosa; A. J. Feelders; Linda C. van der Gaag (Int. J. Approx. Reason., 2016)

Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. - Remi Wieten; Floris Bex; Linda C. van der Gaag; Henry Prakken; Silja Renooij (BNCAI, 2017)

Exploiting Stability for Compact Representation of Independency Models. - Linda C. van der Gaag; Stavros Lopatatzidis (ECSQARU, 2017)

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers. - Janneke H. Bolt; Linda C. van der Gaag (Int. J. Approx. Reason., 2017)

Concise representations and construction algorithms for semi-graphoid independency models. - Stavros Lopatatzidis; Linda C. van der Gaag (Int. J. Approx. Reason., 2017)

A Lattice Representation of Independence Relations. - Linda C. van der Gaag; Marco Baioletti; Janneke H. Bolt (PGM, 2018)

Naive Bayesian Classifiers with Extreme Probability Features. - Linda C. van der Gaag; Andrea Capotorti (PGM, 2018)

Qualitative Probabilistic Relational Models. - Linda C. van der Gaag; Philippe Leray 001 (SUM, 2018)

On Minimum Elementary-Triplet Bases for Independence Relations. - Janneke H. Bolt; Linda C. van der Gaag (ISIPTA, 2019)

An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. - Alvaro Henrique Chaim Correia; Cassio P. de Campos; Linda C. van der Gaag (ISIPTA, 2019)

On Intercausal Interactions in Probabilistic Relational Models. - Silja Renooij; Linda C. van der Gaag; Philippe Leray 001 (ISIPTA, 2019)

The Hidden Elegance of Causal Interaction Models. - Silja Renooij; Linda C. van der Gaag (SUM, 2019)

Poset Representations for Sets of Elementary Triplets. - Linda C. van der Gaag; Janneke H. Bolt (PGM, 2020)

Building Causal Interaction Models by Recursive Unfolding. - Linda C. van der Gaag; Silja Renooij; Alessandro Facchini (PGM, 2020)

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. - Zeynep Akata; Dan Balliet; Maarten de Rijke; Frank Dignum; Virginia Dignum; Guszti Eiben; Antske Fokkens; Davide Grossi; Koen V. Hindriks; Holger H. Hoos; Hayley Hung; Catholijn M. Jonker; et al. (Computer, 2020)

A lattice-based representation of independence relations for efficient closure computation. - Linda C. van der Gaag; Marco Baioletti; Janneke H. Bolt (Int. J. Approx. Reason., 2020)

Detecting correlation between extreme probability events. - Giulianella Coletti; Linda C. van der Gaag; Davide Petturiti; Barbara Vantaggi (Int. J. Gen. Syst., 2020)

Generalized Rules of Probabilistic Independence. - Janneke H. Bolt; Linda C. van der Gaag (ECSQARU, 2021)