Perry Groot - RankMe

46 papers A* 2A 3B 6Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Generalized Convolution Spectral Mixture for Multitask Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori
2020	J	`jnl`	Multioutput Convolution Spectral Mixture for Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori
2019	J	`jnl`	A novel Bayesian approach for latent variable modeling from mixed data with missing values. Stat. Comput. Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
2019	J	`jnl`	Learning causal structure from mixed data with missing values using Gaussian copula models. Stat. Comput. Ruifei Cui, Perry Groot, Tom Heskes
2019	J	`jnl`	Stable Specification Search in Structural Equation Models with Latent Variables. ACM Trans. Intell. Syst. Technol. Ridho Rahmadi, Perry Groot, Tom Heskes
2018	J	`jnl`	A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. CoRR Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
2018	J	`jnl`	A scalable preference model for autonomous decision-making. Mach. Learn. Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead A. Williamson, Perry Groot, Tom Heskes
2018	J	`jnl`	Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes. CoRR Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori
2018	A	`conf`	Learning the Causal Structure of Copula Models with Latent Variables. UAI Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes
2018	J	`jnl`	Multi-Output Convolution Spectral Mixture for Gaussian Processes. CoRR Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori
2018	J	`jnl`	Spectral Mixture Kernels with Time and Phase Delay Dependencies. CoRR Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori
2018	J	`jnl`	Stable specification search in structural equation model with latent variables. CoRR Ridho Rahmadi, Perry Groot, Tom Heskes
2018	J	`jnl`	The stablespec package for causal discovery on cross-sectional and longitudinal data in R. Neurocomputing Ridho Rahmadi, Perry Groot, Tom Heskes
2017	J	`jnl`	Causality on cross-sectional data: Stable specification search in constrained structural equation modeling. Appl. Soft Comput. Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
2017	J	`jnl`	Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. Int. J. Data Sci. Anal. Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan K. Buitelaar, Tom Heskes
2017	A*	`conf`	Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. ICDM Ruifei Cui, Perry Groot, Tom Heskes
2016	J	`jnl`	Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling. CoRR Ridho Rahmadi, Perry Groot, Marieke M. H. C. van Rijn, Jan A. J. G. van den Brand, Marianne Heins, Hans Knoop, Tom Heskes
2016	—	`conf`	Computing Lower and Upper Bounds on the Probability of Causal Statements. Probabilistic Graphical Models Elena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes
2016	—	`conf`	Copula PC Algorithm for Causal Discovery from Mixed Data. ECML/PKDD (2) Ruifei Cui, Perry Groot, Tom Heskes
2015	B	`conf`	Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. AIME Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes
2015	J	`jnl`	Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling. CoRR Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
2015	—	`conf`	Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling. AALTD@PKDD/ECML Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
2014	—	`conf`	Causal Discovery from Databases with Discrete and Continuous Variables. Probabilistic Graphical Models Elena Sokolova, Perry Groot, Tom Claassen, Tom Heskes
2013	J	`jnl`	Efficiently learning the preferences of people. Mach. Learn. Adriana Birlutiu, Perry Groot, Tom Heskes
2011	—	`conf`	Learning from Multiple Annotators with Gaussian Processes. ICANN (2) Perry Groot, Adriana Birlutiu, Tom Heskes
2011	J	`jnl`	Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes. IEEE Trans. Speech Audio Process. Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M. Kates
2010	A	`conf`	Bayesian Monte Carlo for the Global Optimization of Expensive Functions. ECAI Perry Groot, Adriana Birlutiu, Tom Heskes
2010	J	`jnl`	Multi-task preference learning with an application to hearing aid personalization. Neurocomputing Adriana Birlutiu, Perry Groot, Tom Heskes
2009	B	`conf`	Multi-task Preference learning with Gaussian Processes. ESANN Adriana Birlutiu, Perry Groot, Tom Heskes
2009	J	`jnl`	Using model checking for critiquing based on clinical guidelines. Artif. Intell. Medicine Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban
2008	—	`ch.`	A Constraint-based Approach to Medical Guidelines and Protocols. Computer-based Medical Guidelines and Protocols Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Mar Marcos, Begoña Martínez-Salvador
2008	—	`ch.`	Adaptation of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols Perry Groot, Arjen Hommersom, Peter J. F. Lucas
2008	—	`ch.`	Formal Methods for Verification of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols Arjen Hommersom, Perry Groot, Michael Balser, Peter J. F. Lucas
2007	—	`conf`	Classification of mammographic masses using support vector machines and Bayesian networks. Computer-Aided Diagnosis Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas, Perry Groot
2007	J	`jnl`	Combining task execution and background knowledge for the verification of medical guidelines. Knowl. Based Syst. Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2007	J	`jnl`	Error probabilities for local extrema in gene expression data. Pattern Recognit. Lett. Perry Groot, Christian Gilissen, Michael Egmont-Petersen
2007	B	`conf`	The Role of Model Checking in Critiquing Based on Clinical Guidelines. AIME Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen
2007	J	`jnl`	Verification of Medical Guidelines Using Background Knowledge in Task Networks. IEEE Trans. Knowl. Data Eng. Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2006	—	`conf`	Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines. SGAI Conf. Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2006	A	`conf`	Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2005	J	`jnl`	A quantitative analysis of the robustness of knowledge-based systems through degradation studies. Knowl. Inf. Syst. Perry Groot, Annette ten Teije, Frank van Harmelen
2005	B	`conf`	Approximating Description Logic Classification for Semantic Web Reasoning. ESWC Perry Groot, Heiner Stuckenschmidt, Holger Wache
2005	—	`conf`	Scalable Instance Retrieval for the Semantic Web by Approximation. WISE Workshops Holger Wache, Perry Groot, Heiner Stuckenschmidt
2004	A*	`conf`	Towards a Structured Analysis of Approximate Problem Solving: A Case Study in Classification. KR Perry Groot, Annette ten Teije, Frank van Harmelen
2000	B	`conf`	Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems. EKAW Perry Groot, Frank van Harmelen, Annette ten Teije
1999	B	`conf`	Formally Verifying Dynamic Properties of Knowledge Based Systems. EKAW Perry Groot, Annette ten Teije, Frank van Harmelen