L. C. van der Gaag

Most-cited papers

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
Zeynep Akata, Dan Balliet, M. de Rijke, F. Dignum +22 more
2020Computer186 citations Open access
Semantic Scholar
Multi-dimensional Bayesian Network Classifiers
L. C. van der Gaag, P. R. de Waal
2006European Workshop on Probabilistic Graphical Models91 citations
Semantic Scholar
Learning Bayesian network parameters under order constraints
A. Feelders, L. C. van der Gaag
2006International Journal of Approximate Reasoning88 citations Open access
Semantic Scholar
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
Johan Kwisthout, H. Bodlaender, L. C. van der Gaag
2010European Conference on Artificial Intelligence77 citations
Semantic Scholar
Inference and Learning in Multi-dimensional Bayesian Network Classifiers
P. R. de Waal, L. C. van der Gaag
2007European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty67 citations
Semantic Scholar
Sensitivity Analysis of Probabilistic Networks
L. C. van der Gaag, S. Renooij, V. Coupé
200758 citations Open access
Semantic Scholar
Discriminating between true-positive and false-positive clinical mastitis alerts from automatic milking systems.
W. Steeneveld, L. C. van der Gaag, W. Ouweltjes, H. Mollenhorst +1 more
2010Journal of Dairy Science57 citations Open access
Semantic Scholar
Discretizing environmental data for learning Bayesian-network classifiers
R. F. Ropero, S. Renooij, L. C. van der Gaag
201844 citations Open access
Semantic Scholar
Computing short‐interval transition matrices of a discrete‐time Markov chain from partially observed data
T. Charitos, P. R. de Waal, L. C. van der Gaag
2008Statistics in Medicine44 citations
Semantic Scholar
Sleep and sleep disorders during pregnancy and postpartum: The Life-ON study.
Mauro Manconi, L. C. van der Gaag, Francesca Mangili, C. Garbazza +36 more
2023Sleep Medicine37 citations Open access
Semantic Scholar
Pre-Existing Cardiovascular Conditions as Clinical Predictors of Myocarditis Reporting with Immune Checkpoint Inhibitors: A VigiBase Study
Roberta Noseda, L. Ruinelli, L. C. van der Gaag, A. Ceschi
2020Cancers31 citations Open access
Semantic Scholar
Enhanced qualitative probabilistic networks for resolving trade-offs
S. Renooij, L. C. van der Gaag
2008Artificial Intelligence30 citations Open access
Semantic Scholar
Constructing naive Bayesian classifiers for veterinary medicine: a case study in the clinical diagnosis of classical swine fever.
P. Geenen, L. C. van der Gaag, W. Loeffen, A. R. Elbers
2011Research in Veterinary Science29 citations Open access
Semantic Scholar
Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study
D. Bosetti, L. Ruinelli, M. Piliero, L. C. van der Gaag +6 more
2020Strahlentherapie und Onkologie (Print)25 citations
Semantic Scholar
Learning from incomplete data in Bayesian networks with qualitative influences
Andrés R. Masegosa, A. Feelders, L. C. van der Gaag
2016International Journal of Approximate Reasoning25 citations Open access
Semantic Scholar
The Computational Complexity of Sensitivity Analysis and Parameter Tuning
Johan Kwisthout, L. C. van der Gaag
2008Conference on Uncertainty in Artificial Intelligence25 citations
Semantic Scholar
An intercausal cancellation model for Bayesian-network engineering
S. Woudenberg, L. C. van der Gaag, C. Rademaker
2015International Journal of Approximate Reasoning24 citations Open access
Semantic Scholar
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers
S. Renooij, L. C. van der Gaag
2008European Workshop on Probabilistic Graphical Models22 citations Open access
Semantic Scholar
Providing probability distributions for the causal pathogen of clinical mastitis using naive Bayesian networks.
W. Steeneveld, L. C. van der Gaag, H. Barkema, H. Hogeveen
2009Journal of Dairy Science21 citations Open access
Semantic Scholar
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers
J. Bolt, L. C. van der Gaag
2017International Journal of Approximate Reasoning20 citations Open access
Semantic Scholar
Introducing situational signs in qualitative probabilistic networks
J. Bolt, L. C. van der Gaag, S. Renooij
2005International Journal of Approximate Reasoning18 citations Open access
Semantic Scholar
Bringing order into bayesian-network construction
E. Helsper, L. C. van der Gaag, A. Feelders, W. Loeffen +2 more
2005International Conference on Knowledge Capture18 citations
Semantic Scholar
Simplify the interpretation of alert lists for clinical mastitis in automatic milking systems
W. Steeneveld, L. C. van der Gaag, H. Barkema, H. Hogeveen
201017 citations Open access
Semantic Scholar
Aligning Bayesian Network Classifiers with Medical Contexts
L. C. van der Gaag, S. Renooij, A. Feelders, Arend de Groote +3 more
2009IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition15 citations
Semantic Scholar
An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network
J. Bolt, L. C. van der Gaag
2010International Conference on Information Processing and Management of Uncertainty14 citations
Semantic Scholar
Verifying monotonicity of Bayesian networks with domain experts
L. C. van der Gaag, Hermina J. M. Tabachneck-Schijf, P. Geenen
2009International Journal of Approximate Reasoning14 citations Open access
Semantic Scholar
The Complexity of Finding kth Most Probable Explanations in Probabilistic Networks
Johan Kwisthout, H. Bodlaender, L. C. van der Gaag
2011Conference on Current Trends in Theory and Practice of Informatics11 citations
Semantic Scholar
Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever
L. C. van der Gaag, J. Bolt, W. Loeffen, A. Elbers
2010International Conference on Information Processing and Management of Uncertainty10 citations Open access
Semantic Scholar
Stable Independence in Perfect Maps
P. R. de Waal, L. C. van der Gaag
2005Conference on Uncertainty in Artificial Intelligence10 citations
Semantic Scholar
Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not
S. Woudenberg, L. C. van der Gaag
2011European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty9 citations
Semantic Scholar
On the Convergence Error in Loopy Propagation
J. Bolt, L. C. van der Gaag
20059 citations
Semantic Scholar
Relevance of Evidence in Bayesian Networks
M. Meekes, S. Renooij, L. C. van der Gaag
2015European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty8 citations Open access
Semantic Scholar
Experiences with Eliciting Probabilities from Multiple Experts
L. C. van der Gaag, S. Renooij, Hermi J. M. Schijf, A. Elbers +1 more
2012International Conference on Information Processing and Management of Uncertainty8 citations Open access
Semantic Scholar
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks
T. Charitos, L. C. van der Gaag
2006Conference on Uncertainty in Artificial Intelligence8 citations
Semantic Scholar
Lattices for Studying Monotonicity of Bayesian Networks
L. C. van der Gaag, S. Renooij, P. Geenen
2006European Workshop on Probabilistic Graphical Models8 citations
Semantic Scholar
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers
J. Bolt, L. C. van der Gaag
2015European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty7 citations
Semantic Scholar
Towards uncertainty analysis of Bayesian networks
L. C. van der Gaag, Remco Kuijper, Yuri M. van Geffen, J. Vermeulen
20136 citations
Semantic Scholar
On the Behaviour of Information Measures for Test Selection
D. Sent, L. C. van der Gaag
2007Conference on Artificial Intelligence in Medicine in Europe6 citations
Semantic Scholar
Sensitivity Analysis of Markovian Models
T. Charitos, L. C. van der Gaag
2006The Florida AI Research Society6 citations
Semantic Scholar
Concise representations and construction algorithms for semi-graphoid independency models
S. Lopatatzidis, L. C. van der Gaag
2017International Journal of Approximate Reasoning5 citations Open access
Semantic Scholar
Propagation effects of model-calculated probability values in Bayesian networks
S. Woudenberg, L. C. van der Gaag
2015International Journal of Approximate Reasoning5 citations Open access
Semantic Scholar
Real-time Adaptive Problem Detection in Poultry
S. Woudenberg, L. C. van der Gaag, A. Feelders, A. Elbers
2014European Conference on Artificial Intelligence5 citations Open access
Semantic Scholar
On Stopping Evidence Gathering for Diagnostic Bayesian Networks
L. C. van der Gaag, H. Bodlaender
2011European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty5 citations
Semantic Scholar
When in Doubt ... Be Indecisive
L. C. van der Gaag, S. Renooij, W. Steeneveld, H. Hogeveen
2009European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty5 citations Open access
Semantic Scholar
Convergence in Markovian models with implications for efficiency of inference
T. Charitos, P. R. de Waal, L. C. van der Gaag
2007International Journal of Approximate Reasoning5 citations Open access
Semantic Scholar
Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain
E. Helsper, L. C. van der Gaag
2007Knowledge engineering review (Print)5 citations
Semantic Scholar
Naive Bayesian classifiers for the clinical diagnosis of classical swine fever.
P. Geenen, L. C. van der Gaag, W. Loeffen, A. Elbers +3 more
20055 citations
Semantic Scholar
Library-style Ontologies to Support Varying Model Views
L. C. van der Gaag, Hermina J. M. Tabachneck-Schijf
2007BMA4 citations Open access
Semantic Scholar
Naive Bayesian Classifiers with Extreme Probability Features
L. C. van der Gaag, A. Capotorti
2018European Workshop on Probabilistic Graphical Models3 citations
Semantic Scholar
Multi-classifiers of Small Treewidth
A. Pastink, L. C. van der Gaag
2015European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty3 citations
Semantic Scholar