Remco R. Bouckaert

Publication Activity (10 Years)

Years Active: 1992-2021
Publications (10 Years): 4

Top Topics

Avian Influenza

Abductive Inference

Bayesian Belief Networks

Software Platform

Top Venues

PLoS Comput. Biol.

Adv. Appl. Math.

Publications

Remco R. Bouckaert, Mareike Fischer, Kristina Wicke
characters in phylogenetics. Adv. Appl. Math. 131 (2021)
Jordan Douglas, Rong Zhang, Remco R. Bouckaert
Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model. PLoS Comput. Biol. 17 (2) (2021)
Jing Yang, Nicola F. Müller, Remco R. Bouckaert, Bing Xu, Alexei J. Drummond
Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration. PLoS Comput. Biol. 15 (8) (2019)
Remco R. Bouckaert, Timothy G. Vaughan, Joëlle Barido-Sottani, Sebastián Duchêne, Mathieu Fourment, Alexandra Gavryushkina, Joseph Heled, Graham Jones, Denise Kühnert, Nicola De Maio, Michael Matschiner, Fábio K. Mendes, Nicola F. Müller, Huw A. Ogilvie, Louis du Plessis, Alex Popinga, Andrew Rambaut, David A. Rasmussen, Igor Siveroni, Marc A. Suchard, Chieh-Hsi Wu, Dong Xie, Chi Zhang, Tanja Stadler, Alexei J. Drummond
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLoS Comput. Biol. 15 (4) (2019)
Remco R. Bouckaert, Joseph Heled, Denise Kühnert, Timothy G. Vaughan, Chieh-Hsi Wu, Dong Xie, Marc A. Suchard, Andrew Rambaut, Alexei J. Drummond
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis. PLoS Comput. Biol. 10 (4) (2014)
Enrique F. Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares
Error Estimation in Approximate Bayesian Belief Network Inference CoRR (2013)
Tomas Kocka, Remco R. Bouckaert, Milan Studený
On characterizing Inclusion of Bayesian Networks CoRR (2013)
Remco R. Bouckaert
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks CoRR (2013)
Remco R. Bouckaert
Optimizing Causal Orderings for Generating DAGs from Data CoRR (2013)
Remco R. Bouckaert
Properties of Bayesian Belief Network Learning Algorithms CoRR (2013)
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. 11 (2010)
Remco R. Bouckaert
DensiTree: making sense of sets of phylogenetic trees. Bioinform. 26 (10) (2010)
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindner, Milan Studený
Efficient Algorithms for Conditional Independence Inference. J. Mach. Learn. Res. 11 (2010)
Eibe Frank, Remco R. Bouckaert
Conditional Density Estimation with Class Probability Estimators. ACML (2009)
Remco R. Bouckaert
A Hierarchical Face Recognition Algorithm. ACML (2009)
Remco R. Bouckaert
Practical Bias Variance Decomposition. Australasian Conference on Artificial Intelligence (2008)
Remco R. Bouckaert, Milan Studený
Racing algorithms for conditional independence inference. Int. J. Approx. Reason. 45 (2) (2007)
Remco R. Bouckaert
Voting Massive Collections of Bayesian Network Classifiers for Data Streams. Australian Conference on Artificial Intelligence (2006)
Eibe Frank, Remco R. Bouckaert
Naive Bayes for Text Classification with Unbalanced Classes. PKDD (2006)
Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle
Generalized Unified Decomposition of Ensemble Loss. Australian Conference on Artificial Intelligence (2006)
Remco R. Bouckaert
Efficient AUC Learning Curve Calculation. Australian Conference on Artificial Intelligence (2006)
Remco R. Bouckaert, Milan Studený
Racing for Conditional Independence Inference. ECSQARU (2005)
Remco R. Bouckaert
Estimating replicability of classifier learning experiments. ICML (2004)
Remco R. Bouckaert, Eibe Frank
Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. PAKDD (2004)
Remco R. Bouckaert
Naive Bayes Classifiers That Perform Well with Continuous Variables. Australian Conference on Artificial Intelligence (2004)
Remco R. Bouckaert
Choosing Learning Algorithms Using Sign Tests with High Replicability. Australian Conference on Artificial Intelligence (2003)
Remco R. Bouckaert
A Probabilistic Line Breaking Algorithm. Australian Conference on Artificial Intelligence (2003)
Remco R. Bouckaert
Choosing Between Two Learning Algorithms Based on Calibrated Tests. ICML (2003)
Tomás Kocka, Remco R. Bouckaert, Milan Studený
On characterizing Inclusion of Bayesian Networks. UAI (2001)
Remco R. Bouckaert, Enrique F. Castillo, José Manuel Gutiérrez
A modified simulation scheme for inference in Bayesian networks. Int. J. Approx. Reason. 14 (1) (1996)
Enrique F. Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares
Error Estimation in Approximate Bayesian Belief Network Inference. UAI (1995)
Remco R. Bouckaert, Milan Studený
Chain graphs: semantics and expressiveness. ECSQARU (1995)
Remco R. Bouckaert
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks. UAI (1994)
Remco R. Bouckaert
Properties of Bayesian Belief Network Learning Algorithms. UAI (1994)
Remco R. Bouckaert
IDAGs: a Perfect Map for Any Distribution. ECSQARU (1993)
Remco R. Bouckaert
Probalistic Network Construction Using the Minimum Description Length Principle. ECSQARU (1993)
Remco R. Bouckaert
Optimizing Causal Orderings for Generating DAGs from Data. UAI (1992)