Linda C. van der Gaag

Publication Activity (10 Years)

Years Active: 1989-2021
Publications (10 Years): 24

Top Venues

CoRR

Int. J. Approx. Reason.

ECSQARU

PGM

Publications

Janneke H. Bolt, Linda C. van der Gaag
Generalized Rules of Probabilistic Independence. ECSQARU (2021)
Linda C. van der Gaag, Janneke H. Bolt
Poset Representations for Sets of Elementary Triplets. PGM (2020)
Giulianella Coletti, Linda C. van der Gaag, Davide Petturiti, Barbara Vantaggi
Detecting correlation between extreme probability events. Int. J. Gen. Syst. 49 (1) (2020)
Linda C. van der Gaag, Silja Renooij, Alessandro Facchini
Building Causal Interaction Models by Recursive Unfolding. PGM (2020)
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, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53 (8) (2020)
Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
A lattice-based representation of independence relations for efficient closure computation. Int. J. Approx. Reason. 126 (2020)
Silja Renooij, Linda C. van der Gaag
The Hidden Elegance of Causal Interaction Models. SUM (2019)
Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag
An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. ISIPTA (2019)
Janneke H. Bolt, Linda C. van der Gaag
On Minimum Elementary-Triplet Bases for Independence Relations. ISIPTA (2019)
Silja Renooij, Linda C. van der Gaag, Philippe Leray
On Intercausal Interactions in Probabilistic Relational Models. ISIPTA (2019)
Linda C. van der Gaag, Andrea Capotorti
Naive Bayesian Classifiers with Extreme Probability Features. PGM (2018)
Linda C. van der Gaag, Philippe Leray
Qualitative Probabilistic Relational Models. SUM (2018)
Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
A Lattice Representation of Independence Relations. PGM (2018)
Stavros Lopatatzidis, Linda C. van der Gaag
Concise representations and construction algorithms for semi-graphoid independency models. Int. J. Approx. Reason. 80 (2017)
Janneke H. Bolt, Linda C. van der Gaag
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers. Int. J. Approx. Reason. 80 (2017)
Remi Wieten, Floris Bex, Linda C. van der Gaag, Henry Prakken, Silja Renooij
Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. BNCAI (2017)
Linda C. van der Gaag, Stavros Lopatatzidis
Exploiting Stability for Compact Representation of Independency Models. ECSQARU (2017)
Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag
Learning from incomplete data in Bayesian networks with qualitative influences. Int. J. Approx. Reason. 69 (2016)
Steven P. D. Woudenberg, Linda C. van der Gaag, Carin M. A. Rademaker
An intercausal cancellation model for Bayesian-network engineering. Int. J. Approx. Reason. 63 (2015)
Stavros Lopatatzidis, Linda C. van der Gaag
Computing Concise Representations of Semi-graphoid Independency Models. ECSQARU (2015)
Steven P. D. Woudenberg, Linda C. van der Gaag
Propagation effects of model-calculated probability values in Bayesian networks. Int. J. Approx. Reason. 61 (2015)
Janneke H. Bolt, Linda C. van der Gaag
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers. ECSQARU (2015)
Arnoud Pastink, Linda C. van der Gaag
Multi-classifiers of Small Treewidth. ECSQARU (2015)
Michelle Meekes, Silja Renooij, Linda C. van der Gaag
Relevance of Evidence in Bayesian Networks. ECSQARU (2015)
Arnoud Pastink, Linda C. van der Gaag
The Persistence of Most Probable Explanations in Bayesian Networks. ECAI (2014)
Merel T. Rietbergen, Linda C. van der Gaag, Hans L. Bodlaender
Provisional Propagation for Verifying Monotonicity of Bayesian Networks. ECAI (2014)
Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability. IDA (2014)
Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
Real-time Adaptive Problem Detection in Poultry. ECAI (2014)
Thomas E. Krak, Linda C. van der Gaag
Knowledge-based Bias Correction - A Case Study in Veterinary Decision Support. ECAI (2014)
Linda C. van der Gaag, Silja Renooij, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal
How to Elicit Many Probabilities CoRR (2013)
Uffe Kjærulff, Linda C. van der Gaag
Making Sensitivity Analysis Computationally Efficient CoRR (2013)
Linda C. van der Gaag, Silja Renooij
Analysing Sensitivity Data from Probabilistic Networks CoRR (2013)
Marek J. Druzdzel, Linda C. van der Gaag
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information CoRR (2013)
Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag
Pre-processing for Triangulation of Probabilistic Networks CoRR (2013)
Silja Renooij, Linda C. van der Gaag
From Qualitative to Quantitative Probabilistic Networks CoRR (2013)
Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green
Pivotal Pruning of Trade-offs in QPNs CoRR (2013)
Linda C. van der Gaag
Computing Probability Intervals Under Independency Constraints CoRR (2013)
Silja Renooij, Linda C. van der Gaag
Enhancing QPNs for Trade-off Resolution CoRR (2013)
Silja Renooij, Linda C. van der Gaag
Evidence-invariant Sensitivity Bounds CoRR (2012)
Silja Renooij, Linda C. van der Gaag
Exploiting Evidence-dependent Sensitivity Bounds CoRR (2012)
Johan Kwisthout, Linda C. van der Gaag
The Computational Complexity of Sensitivity Analysis and Parameter Tuning CoRR (2012)
Roel Bertens, Linda C. van der Gaag, Silja Renooij
Discretisation Effects in Naive Bayesian Networks. IPMU (3) (2012)
Linda C. van der Gaag, Hans L. Bodlaender, Ad Feelders
Monotonicity in Bayesian Networks CoRR (2012)
Ad Feelders, Linda C. van der Gaag
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences CoRR (2012)
Peter R. de Waal, Linda C. van der Gaag
Stable Independence in Perfect Maps CoRR (2012)
Theodore Charitos, Linda C. van der Gaag
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. CoRR (2012)
Ronald Parr, Linda C. van der Gaag
Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (2007) CoRR (2012)
Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
Upgrading Ambiguous Signs in QPNs CoRR (2012)
Peter R. de Waal, Linda C. van der Gaag
Stable Independance and Complexity of Representation CoRR (2012)
Linda C. van der Gaag, Silja Renooij, Hermina Schijf, Armin Elbers, Willie Loeffen
Experiences with Eliciting Probabilities from Multiple Experts. IPMU (3) (2012)
Merel T. Rietbergen, Linda C. van der Gaag
Attaining Monotonicity for Bayesian Networks. ECSQARU (2011)
Steven P. D. Woudenberg, Linda C. van der Gaag
Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not. ECSQARU (2011)
Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders
When Learning Naive Bayesian Classifiers Preserves Monotonicity. ECSQARU (2011)
Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
th Most Probable Explanations in Probabilistic Networks. SOFSEM (2011)
Linda C. van der Gaag, Hans L. Bodlaender
On Stopping Evidence Gathering for Diagnostic Bayesian Networks. ECSQARU (2011)
Janneke H. Bolt, Linda C. van der Gaag
An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. IPMU (1) (2010)
Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf
Library-style ontologies to support varying model views. Int. J. Approx. Reason. 51 (2) (2010)
Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers
Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever. IPMU (2010)
Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. ECAI (2010)
Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen
When in Doubt ... Be Indecisive. ECSQARU (2009)
Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. 36 (2) (2009)
Linda C. van der Gaag, Russell G. Almond
Preface. Int. J. Approx. Reason. 50 (3) (2009)
Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser
Aligning Bayesian Network Classifiers with Medical Contexts. MLDM (2009)
Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf, Petra L. Geenen
Verifying monotonicity of Bayesian networks with domain experts. Int. J. Approx. Reason. 50 (3) (2009)
Silja Renooij, Linda C. van der Gaag
Evidence and scenario sensitivities in naive Bayesian classifiers. Int. J. Approx. Reason. 49 (2) (2008)
Johan Kwisthout, Linda C. van der Gaag
The Computational Complexity of Sensitivity Analysis and Parameter Tuning. UAI (2008)
Silja Renooij, Linda C. van der Gaag
Enhanced qualitative probabilistic networks for resolving trade-offs. Artif. Intell. 172 (12-13) (2008)
Peter R. de Waal, Linda C. van der Gaag
Inference and Learning in Multi-dimensional Bayesian Network Classifiers. ECSQARU (2007)
Danielle Sent, Linda C. van der Gaag
Enhancing Automated Test Selection in Probabilistic Networks. AIME (2007)
Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag
Library-style Ontologies to Support Varying Model Views. BMA (2007)
Eveline M. Helsper, Linda C. van der Gaag
Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. Knowl. Eng. Rev. 22 (1) (2007)
Danielle Sent, Linda C. van der Gaag
On the Behaviour of Information Measures for Test Selection. AIME (2007)
Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag
Convergence in Markovian models with implications for efficiency of inference. Int. J. Approx. Reason. 46 (2) (2007)
Linda C. van der Gaag, Peter R. de Waal
Multi-dimensional Bayesian Network Classifiers. Probabilistic Graphical Models (2006)
Linda C. van der Gaag, Silja Renooij, Petra L. Geenen
Lattices for Studying Monotonicity of Bayesian Networks. Probabilistic Graphical Models (2006)
Theodore Charitos, Linda C. van der Gaag
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. UAI (2006)
Silja Renooij, Linda C. van der Gaag
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. Probabilistic Graphical Models (2006)
Janneke H. Bolt, Linda C. van der Gaag
Preprocessing the MAP Problem. Probabilistic Graphical Models (2006)
A. J. Feelders, Linda C. van der Gaag
Learning Bayesian network parameters under order constraints. Int. J. Approx. Reason. 42 (1-2) (2006)
Theodore Charitos, Linda C. van der Gaag
Sensitivity Analysis of Markovian Models. FLAIRS Conference (2006)
Danielle Sent, Linda C. van der Gaag
Automated Test Selection in Decision-Support Systems: a Case Study in Oncology. MIE (2006)
Peter R. de Waal, Linda C. van der Gaag
Stable Independence in Perfect Maps. UAI (2005)
Danielle Sent, Linda C. van der Gaag
Generalised reliability characteristics for probabilistic networks. Artif. Intell. Medicine 34 (1) (2005)
Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers
Bringing order into bayesian-network construction. K-CAP (2005)
Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag
Haskell ready to dazzle the real world. Haskell (2005)
Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
Introducing situational signs in qualitative probabilistic networks. Int. J. Approx. Reason. 38 (3) (2005)
Silja Renooij, Linda C. van der Gaag
Exploiting Evidence-dependent Sensitivity Bounds. UAI (2005)
Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag
Speeding Up Inference in Markovian Models. FLAIRS Conference (2005)
A. J. Feelders, Linda C. van der Gaag
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI (2005)
Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga
Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. ISBMDA (2004)
Petra L. Geenen, Linda C. van der Gaag, Willie Loeffen, Armin Elbers
On the Robustness of Feature Selection with Absent and Non-observed Features. ISBMDA (2004)
Madalina M. Drugan, Linda C. van der Gaag
A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. ECAI (2004)
Eveline M. Helsper, Linda C. van der Gaag, Floris Groenendaal
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks. EKAW (2004)
Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna
Bayesian networks in biomedicine and health-care. Artif. Intell. Medicine 30 (3) (2004)
Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders
Monotonicity in Bayesian Networks. UAI (2004)
Peter R. de Waal, Linda C. van der Gaag
Stable Independance and Complexity of Representation. UAI (2004)
Linda C. van der Gaag, Eveline M. Helsper
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks. ECAI (2004)
Silja Renooij, Linda C. van der Gaag
Evidence-invariant Sensitivity Bounds. UAI (2004)
Wouter P. van Rijsinge, Linda C. van der Gaag, Frank L. J. Visseren, Yolanda van der Graaf
Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer. AIME (2003)
Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
Introducing Situational Influences in QPNs. ECSQARU (2003)

Linda C. van der Gaag.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Linda C. van der Gaag