Perry Groot

According to our database1, Perry Groot authored at least 43 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multioutput Convolution Spectral Mixture for Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
Stable Specification Search in Structural Equation Models with Latent Variables.
ACM Trans. Intell. Syst. Technol., 2019

Learning causal structure from mixed data with missing values using Gaussian copula models.
Stat. Comput., 2019

A novel Bayesian approach for latent variable modeling from mixed data with missing values.
Stat. Comput., 2019

2018
A scalable preference model for autonomous decision-making.
Mach. Learn., 2018

The stablespec package for causal discovery on cross-sectional and longitudinal data in R.
Neurocomputing, 2018

Multi-Output Convolution Spectral Mixture for Gaussian Processes.
CoRR, 2018

Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes.
CoRR, 2018

Spectral Mixture Kernels with Time and Phase Delay Dependencies.
CoRR, 2018

Stable specification search in structural equation model with latent variables.
CoRR, 2018

Learning the Causal Structure of Copula Models with Latent Variables.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD.
Int. J. Data Sci. Anal., 2017

Causality on cross-sectional data: Stable specification search in constrained structural equation modeling.
Appl. Soft Comput., 2017

Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling.
CoRR, 2016

Copula PC Algorithm for Causal Discovery from Mixed Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Computing Lower and Upper Bounds on the Probability of Causal Statements.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Causal Discovery from Databases with Discrete and Continuous Variables.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

2013
Efficiently learning the preferences of people.
Mach. Learn., 2013

2011
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes.
IEEE Trans. Speech Audio Process., 2011

Learning from Multiple Annotators with Gaussian Processes.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Multi-task preference learning with an application to hearing aid personalization.
Neurocomputing, 2010

Bayesian Monte Carlo for the Global Optimization of Expensive Functions.
Proceedings of the ECAI 2010, 2010

2009
Using model checking for critiquing based on clinical guidelines.
Artif. Intell. Medicine, 2009

Multi-task Preference learning with Gaussian Processes.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
A Constraint-based Approach to Medical Guidelines and Protocols.
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

Formal Methods for Verification of Clinical Practice Guidelines.
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

Adaptation of Clinical Practice Guidelines.
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

2007
Verification of Medical Guidelines Using Background Knowledge in Task Networks.
IEEE Trans. Knowl. Data Eng., 2007

Error probabilities for local extrema in gene expression data.
Pattern Recognit. Lett., 2007

Combining task execution and background knowledge for the verification of medical guidelines.
Knowl. Based Syst., 2007

Classification of mammographic masses using support vector machines and Bayesian networks.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

The Role of Model Checking in Critiquing Based on Clinical Guidelines.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Verification of Medical Guidelines Using Task Execution with Background Knowledge.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
A quantitative analysis of the robustness of knowledge-based systems through degradation studies.
Knowl. Inf. Syst., 2005

Scalable Instance Retrieval for the Semantic Web by Approximation.
Proceedings of the Web Information Systems Engineering - WISE 2005 Workshops, 2005

Approximating Description Logic Classification for Semantic Web Reasoning.
Proceedings of the Semantic Web: Research and Applications, 2005

2004
Towards a Structured Analysis of Approximate Problem Solving: A Case Study in Classification.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

2000
Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems.
Proceedings of the Knowledge Acquisition, 2000

1999
Formally Verifying Dynamic Properties of Knowledge Based Systems.
Proceedings of the Knowledge Acquisition, Modeling and Management, 11th European Workshop, 1999


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