Perry Groot
According to our database1,
Perry Groot
authored at least 43 papers
between 1999 and 2020.
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Bibliography
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
2019
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
The stablespec package for causal discovery on cross-sectional and longitudinal data in R.
Neurocomputing, 2018
CoRR, 2018
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
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
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
2013
2011
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes.
IEEE Trans. Speech Audio Process., 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
Neurocomputing, 2010
Proceedings of the ECAI 2010, 2010
2009
Artif. Intell. Medicine, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008
2007
IEEE Trans. Knowl. Data Eng., 2007
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, San Diego, 2007
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
Proceedings of the Web Information Systems Engineering - WISE 2005 Workshops, 2005
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
Proceedings of the Knowledge Acquisition, Modeling and Management, 11th European Workshop, 1999