Formally Verifying Dynamic Properties of Knowledge Based Systems. - Perry Groot; Annette ten Teije; Frank van Harmelen (EKAW, 1999)

Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems. - Perry Groot; Frank van Harmelen; Annette ten Teije (EKAW, 2000)

Towards a Structured Analysis of Approximate Problem Solving: A Case Study in Classification. - Perry Groot; Annette ten Teije; Frank van Harmelen (KR, 2004)

Approximating Description Logic Classification for Semantic Web Reasoning. - Perry Groot; Heiner Stuckenschmidt; Holger Wache (ESWC, 2005)

Scalable Instance Retrieval for the Semantic Web by Approximation. - Holger Wache; Perry Groot; Heiner Stuckenschmidt (WISE Workshops, 2005)

A quantitative analysis of the robustness of knowledge-based systems through degradation studies. - Perry Groot; Annette ten Teije; Frank van Harmelen (Knowl. Inf. Syst., 2005)

Verification of Medical Guidelines Using Task Execution with Background Knowledge. - Arjen Hommersom; Perry Groot; Peter J. F. Lucas; Michael Balser; Jonathan Schmitt (ECAI, 2006)

The Role of Model Checking in Critiquing Based on Clinical Guidelines. - Perry Groot; Arjen Hommersom; Peter J. F. Lucas; Radu Serban; Annette ten Teije; Frank van Harmelen (AIME, 2007)

Classification of mammographic masses using support vector machines and Bayesian networks. - Maurice Samulski; Nico Karssemeijer; Peter J. F. Lucas; Perry Groot (Computer-Aided Diagnosis, 2007)

Combining task execution and background knowledge for the verification of medical guidelines. - Arjen Hommersom; Perry Groot; Peter J. F. Lucas; Michael Balser; Jonathan Schmitt (Knowl. Based Syst., 2007)

Error probabilities for local extrema in gene expression data. - Perry Groot; Christian Gilissen; Michael Egmont-Petersen (Pattern Recognit. Lett., 2007)

Verification of Medical Guidelines Using Background Knowledge in Task Networks. - Arjen Hommersom; Perry Groot; Peter J. F. Lucas; Michael Balser; Jonathan Schmitt (IEEE Trans. Knowl. Data Eng., 2007)

Adaptation of Clinical Practice Guidelines. - Perry Groot; Arjen Hommersom; Peter J. F. Lucas (Computer-based Medical Guidelines and Protocols, 2008)

Formal Methods for Verification of Clinical Practice Guidelines. - Arjen Hommersom; Perry Groot; Michael Balser; Peter J. F. Lucas (Computer-based Medical Guidelines and Protocols, 2008)

A Constraint-based Approach to Medical Guidelines and Protocols. - Arjen Hommersom; Perry Groot; Peter J. F. Lucas; Mar Marcos; Begoña Martínez-Salvador (Computer-based Medical Guidelines and Protocols, 2008)

Multi-task Preference learning with Gaussian Processes. - Adriana Birlutiu; Perry Groot; Tom Heskes (ESANN, 2009)

Using model checking for critiquing based on clinical guidelines. - Perry Groot; Arjen Hommersom; Peter J. F. Lucas; Robbert-Jan Merk; Annette ten Teije; Frank van Harmelen; Radu Serban (Artif. Intell. Medicine, 2009)

Bayesian Monte Carlo for the Global Optimization of Expensive Functions. - Perry Groot; Adriana Birlutiu; Tom Heskes (ECAI, 2010)

Multi-task preference learning with an application to hearing aid personalization. - Adriana Birlutiu; Perry Groot; Tom Heskes (Neurocomputing, 2010)

Learning from Multiple Annotators with Gaussian Processes. - Perry Groot; Adriana Birlutiu; Tom Heskes (ICANN (2), 2011)

Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes. - Perry Groot; Tom Heskes; Tjeerd Dijkstra; James M. Kates (IEEE Trans. Speech Audio Process., 2011)

Efficiently learning the preferences of people. - Adriana Birlutiu; Perry Groot; Tom Heskes (Mach. Learn., 2013)

Causal Discovery from Databases with Discrete and Continuous Variables. - Elena Sokolova; Perry Groot; Tom Claassen; Tom Heskes (Probabilistic Graphical Models, 2014)

Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. - Elena Sokolova; Perry Groot; Tom Claassen; Daniel von Rhein; Jan K. Buitelaar; Tom Heskes (AIME, 2015)

Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling. - Ridho Rahmadi; Perry Groot; Marianne Heins; Hans Knoop; Tom Heskes (AALTD@PKDD/ECML, 2015)

Computing Lower and Upper Bounds on the Probability of Causal Statements. - Elena Sokolova; Martine Hoogman; Perry Groot; Tom Claassen; Tom Heskes (Probabilistic Graphical Models, 2016)

Copula PC Algorithm for Causal Discovery from Mixed Data. - Ruifei Cui; Perry Groot; Tom Heskes (ECML/PKDD (2), 2016)

Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling. - Ridho Rahmadi; Perry Groot; Marieke M. H. C. van Rijn; Jan A. J. G. van den Brand; Marianne Heins; Hans Knoop; Tom Heskes (CoRR, 2016)

Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. - Ruifei Cui; Perry Groot; Tom Heskes (ICDM, 2017)

Causality on cross-sectional data: Stable specification search in constrained structural equation modeling. - Ridho Rahmadi; Perry Groot; Marianne Heins; Hans Knoop; Tom Heskes (Appl. Soft Comput., 2017)

Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. - Elena Sokolova; Daniel von Rhein; Jilly Naaijen; Perry Groot; Tom Claassen; Jan K. Buitelaar; Tom Heskes (Int. J. Data Sci. Anal., 2017)

Learning the Causal Structure of Copula Models with Latent Variables. - Ruifei Cui; Perry Groot; Moritz Schauer; Tom Heskes (UAI, 2018)

Stable specification search in structural equation model with latent variables. - Ridho Rahmadi; Perry Groot; Tom Heskes (CoRR, 2018)

Spectral Mixture Kernels with Time and Phase Delay Dependencies. - Kai Chen; Perry Groot; Jinsong Chen 001; Elena Marchiori (CoRR, 2018)

Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes. - Kai Chen; Perry Groot; Jinsong Chen 001; Elena Marchiori (CoRR, 2018)

Multi-Output Convolution Spectral Mixture for Gaussian Processes. - Kai Chen; Perry Groot; Jinsong Chen 001; Elena Marchiori (CoRR, 2018)

The stablespec package for causal discovery on cross-sectional and longitudinal data in R. - Ridho Rahmadi; Perry Groot; Tom Heskes (Neurocomputing, 2018)

A scalable preference model for autonomous decision-making. - Markus Peters; Maytal Saar-Tsechansky; Wolfgang Ketter; Sinead A. Williamson; Perry Groot; Tom Heskes (Mach. Learn., 2018)

A novel Bayesian approach for latent variable modeling from mixed data with missing values. - Ruifei Cui; Ioan Gabriel Bucur; Perry Groot; Tom Heskes (Stat. Comput., 2019)

Learning causal structure from mixed data with missing values using Gaussian copula models. - Ruifei Cui; Perry Groot; Tom Heskes (Stat. Comput., 2019)

Stable Specification Search in Structural Equation Models with Latent Variables. - Ridho Rahmadi; Perry Groot; Tom Heskes (ACM Trans. Intell. Syst. Technol., 2019)

Multioutput Convolution Spectral Mixture for Gaussian Processes. - Kai Chen; Twan van Laarhoven; Perry Groot; Jinsong Chen 001; Elena Marchiori (IEEE Trans. Neural Networks Learn. Syst., 2020)

Generalized Convolution Spectral Mixture for Multitask Gaussian Processes. - Kai Chen; Twan van Laarhoven; Perry Groot; Jinsong Chen 001; Elena Marchiori (IEEE Trans. Neural Networks Learn. Syst., 2020)