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Perry Groot
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2020 – today
- 2020
- [j17]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): 2255-2266 (2020) - [j16]Kai Chen
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5613-5623 (2020)
2010 – 2019
- 2019
- [j15]Ruifei Cui
Learning causal structure from mixed data with missing values using Gaussian copula models. Stat. Comput. 29(2): 311-333 (2019) - [j14]Ruifei Cui
A novel Bayesian approach for latent variable modeling from mixed data with missing values. Stat. Comput. 29(5): 977-993 (2019) - [j13]Ridho Rahmadi
Stable Specification Search in Structural Equation Models with Latent Variables. ACM Trans. Intell. Syst. Technol. 10(5): 48:1-48:23 (2019) - 2018
- [j12]Ridho Rahmadi, Perry Groot, Tom Heskes
The stablespec package for causal discovery on cross-sectional and longitudinal data in R. Neurocomputing 275: 2440-2443 (2018) - [j11]Markus Peters, Maytal Saar-Tsechansky
A scalable preference model for autonomous decision-making. Mach. Learn. 107(6): 1039-1068 (2018) - [c19]Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes:
Learning the Causal Structure of Copula Models with Latent Variables. UAI 2018: 188-197 - [i7]Ridho Rahmadi, Perry Groot, Tom Heskes:
Stable specification search in structural equation model with latent variables. CoRR abs/1805.09527 (2018) - [i6]Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes:
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. CoRR abs/1806.04610 (2018) - [i5]Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori:
Spectral Mixture Kernels with Time and Phase Delay Dependencies. CoRR abs/1808.00560 (2018) - [i4]Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori:
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes. CoRR abs/1808.01132 (2018) - [i3]Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori:
Multi-Output Convolution Spectral Mixture for Gaussian Processes. CoRR abs/1808.02266 (2018) - 2017
- [j10]Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling. Appl. Soft Comput. 52: 687-698 (2017) - [j9]Elena Sokolova, Daniel von Rhein, Jilly Naaijen
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. Int. J. Data Sci. Anal. 3(2): 105-119 (2017) - [c18]Ruifei Cui, Perry Groot, Tom Heskes
Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. ICDM 2017: 835-840 - 2016
- [c17]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: 487-498 - [c16]Ruifei Cui, Perry Groot, Tom Heskes
Copula PC Algorithm for Causal Discovery from Mixed Data. ECML/PKDD (2) 2016: 377-392 - [i2]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 abs/1605.06838 (2016) - 2015
- [c15]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: 177-181 - [c14]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 - [i1]Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes:
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling. CoRR abs/1506.05600 (2015) - 2014
- [c13]Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes
Causal Discovery from Databases with Discrete and Continuous Variables. Probabilistic Graphical Models 2014: 442-457 - 2013
- [j8]Adriana Birlutiu
Efficiently learning the preferences of people. Mach. Learn. 90(1): 1-28 (2013) - 2011
- [j7]Perry Groot, Tom Heskes
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes. IEEE Trans. Speech Audio Process. 19(4): 811-821 (2011) - [c12]Perry Groot, Adriana Birlutiu
Learning from Multiple Annotators with Gaussian Processes. ICANN (2) 2011: 159-164 - 2010
- [j6]Adriana Birlutiu
Multi-task preference learning with an application to hearing aid personalization. Neurocomputing 73(7-9): 1177-1185 (2010) - [c11]Perry Groot, Adriana Birlutiu, Tom Heskes:
Bayesian Monte Carlo for the Global Optimization of Expensive Functions. ECAI 2010: 249-254
2000 – 2009
- 2009
- [j5]Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije
Using model checking for critiquing based on clinical guidelines. Artif. Intell. Medicine 46(1): 19-36 (2009) - [c10]Adriana Birlutiu, Perry Groot, Tom Heskes:
Multi-task Preference learning with Gaussian Processes. ESANN 2009 - 2008
- [p3]Arjen Hommersom, Perry Groot, Michael Balser, Peter J. F. Lucas:
Formal Methods for Verification of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols 2008: 63-80 - [p2]Perry Groot, Arjen Hommersom, Peter J. F. Lucas:
Adaptation of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols 2008: 121-139 - [p1]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Mar Marcos
A Constraint-based Approach to Medical Guidelines and Protocols. Computer-based Medical Guidelines and Protocols 2008: 213-222 - 2007
- [j4]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): 113-119 (2007) - [j3]Perry Groot, Christian Gilissen
Error probabilities for local extrema in gene expression data. Pattern Recognit. Lett. 28(15): 2133-2142 (2007) - [j2]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): 832-846 (2007) - [c9]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: 411-420 - [c8]Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas, Perry Groot:
Classification of mammographic masses using support vector machines and Bayesian networks. Computer-Aided Diagnosis 2007: 65141J - 2006
- [c7]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt:
Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI 2006: 835-836 - [c6]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: 3-16 - 2005
- [j1]Perry Groot, Annette ten Teije
A quantitative analysis of the robustness of knowledge-based systems through degradation studies. Knowl. Inf. Syst. 7(2): 224-245 (2005) - [c5]Perry Groot, Heiner Stuckenschmidt, Holger Wache:
Approximating Description Logic Classification for Semantic Web Reasoning. ESWC 2005: 318-332 - [c4]Holger Wache, Perry Groot, Heiner Stuckenschmidt:
Scalable Instance Retrieval for the Semantic Web by Approximation. WISE Workshops 2005: 245-254 - 2004
- [c3]Perry Groot, Annette ten Teije, Frank van Harmelen:
Towards a Structured Analysis of Approximate Problem Solving: A Case Study in Classification. KR 2004: 399-406 - 2000
- [c2]Perry Groot, Frank van Harmelen
Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems. EKAW 2000: 403-418
1990 – 1999
- 1999
- [c1]Perry Groot, Annette ten Teije, Frank van Harmelen
Formally Verifying Dynamic Properties of Knowledge Based Systems. EKAW 1999: 157-171
Coauthor Index
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