Perry Groot

Publication Activity (10 Years)

Years Active: 1999-2020
Publications (10 Years): 19

Top Topics

Latent Variables

Causal Discovery

Structural Equation Modeling

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori
Multioutput Convolution Spectral Mixture for Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
A novel Bayesian approach for latent variable modeling from mixed data with missing values. Stat. Comput. 29 (5) (2019)
Ridho Rahmadi, Perry Groot, Tom Heskes
Stable Specification Search in Structural Equation Models with Latent Variables. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Ruifei Cui, Perry Groot, Tom Heskes
Learning causal structure from mixed data with missing values using Gaussian copula models. Stat. Comput. 29 (2) (2019)
Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori
Spectral Mixture Kernels with Time and Phase Delay Dependencies. CoRR (2018)
Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes
A scalable preference model for autonomous decision-making. Mach. Learn. 107 (6) (2018)
Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. CoRR (2018)
Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes
Learning the Causal Structure of Copula Models with Latent Variables. UAI (2018)
Ridho Rahmadi, Perry Groot, Tom Heskes
Stable specification search in structural equation model with latent variables. CoRR (2018)
Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes. CoRR (2018)
Ridho Rahmadi, Perry Groot, Tom Heskes
The stablespec package for causal discovery on cross-sectional and longitudinal data in R. Neurocomputing 275 (2018)
Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori
Multi-Output Convolution Spectral Mixture for Gaussian Processes. CoRR (2018)
Ruifei Cui, Perry Groot, Tom Heskes
Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. ICDM (2017)
Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan K. Buitelaar, Tom Heskes
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. Int. J. Data Sci. Anal. 3 (2) (2017)
Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling. Appl. Soft Comput. 52 (2017)
Ruifei Cui, Perry Groot, Tom Heskes
Copula PC Algorithm for Causal Discovery from Mixed Data. ECML/PKDD (2) (2016)
Ridho Rahmadi, Perry Groot, Marieke M. H. C. van Rijn, Jan A. J. G. van den Brand, Marianne Heins, Hans Knoop, Tom Heskes
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling. CoRR (2016)
Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes
Computing Lower and Upper Bounds on the Probability of Causal Statements. Probabilistic Graphical Models (2016)
Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes
Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. AIME (2015)
Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling. AALTD@PKDD/ECML (2015)
Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling. CoRR (2015)
Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes
Causal Discovery from Databases with Discrete and Continuous Variables. Probabilistic Graphical Models (2014)
Adriana Birlutiu, Perry Groot, Tom Heskes
Efficiently learning the preferences of people. Mach. Learn. 90 (1) (2013)
Perry Groot, Adriana Birlutiu, Tom Heskes
Learning from Multiple Annotators with Gaussian Processes. ICANN (2) (2011)
Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M. Kates
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes. IEEE Trans. Speech Audio Process. 19 (4) (2011)
Perry Groot, Adriana Birlutiu, Tom Heskes
Bayesian Monte Carlo for the Global Optimization of Expensive Functions. ECAI (2010)
Adriana Birlutiu, Perry Groot, Tom Heskes
Multi-task preference learning with an application to hearing aid personalization. Neurocomputing 73 (7-9) (2010)
Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban
Using model checking for critiquing based on clinical guidelines. Artif. Intell. Medicine 46 (1) (2009)
Adriana Birlutiu, Perry Groot, Tom Heskes
Multi-task Preference learning with Gaussian Processes. ESANN (2009)
Perry Groot, Christian Gilissen, Michael Egmont-Petersen
Error probabilities for local extrema in gene expression data. Pattern Recognit. Lett. 28 (15) (2007)
Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas, Perry Groot
Classification of mammographic masses using support vector machines and Bayesian networks. Medical Imaging: Computer-Aided Diagnosis (2007)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Verification of Medical Guidelines Using Background Knowledge in Task Networks. IEEE Trans. Knowl. Data Eng. 19 (6) (2007)
Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen
The Role of Model Checking in Critiquing Based on Clinical Guidelines. AIME (2007)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Combining task execution and background knowledge for the verification of medical guidelines. Knowl. Based Syst. 20 (2) (2007)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI (2006)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines. SGAI Conf. (2006)
Holger Wache, Perry Groot, Heiner Stuckenschmidt
Scalable Instance Retrieval for the Semantic Web by Approximation. WISE Workshops (2005)
Perry Groot, Annette ten Teije, Frank van Harmelen
A quantitative analysis of the robustness of knowledge-based systems through degradation studies. Knowl. Inf. Syst. 7 (2) (2005)
Perry Groot, Heiner Stuckenschmidt, Holger Wache
Approximating Description Logic Classification for Semantic Web Reasoning. ESWC (2005)
Perry Groot, Annette ten Teije, Frank van Harmelen
Towards a Structured Analysis of Approximate Problem Solving: A Case Study in Classification. KR (2004)
Perry Groot, Frank van Harmelen, Annette ten Teije
Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems. EKAW (2000)
Perry Groot, Annette ten Teije, Frank van Harmelen
Formally Verifying Dynamic Properties of Knowledge Based Systems. EKAW (1999)