Remco R. Bouckaert

40 papers A* 2A 5B 1C 6Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accurate Bayesian phylogenetic point estimation using a tree distribution parameterized by clade probabilities.
PLoS Comput. Biol.
Lars Berling, Jonathan Klawitter, Remco R. Bouckaert, Dong Xie, Alex Gavryushkin, Alexei J. Drummond
2025 J jnl
MASCOT-Skyline integrates population and migration dynamics to enhance phylogeographic reconstructions.
PLoS Comput. Biol.
Nicola F. Müller, Remco R. Bouckaert, Chieh-Hsi Wu, Trevor Bedford
2024 J jnl
An Automated Convergence Diagnostic for Phylogenetic MCMC Analyses.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lars Berling, Remco R. Bouckaert, Alex Gavryushkin
2021 J jnl
Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model.
PLoS Comput. Biol.
Jordan Douglas, Rong Zhang, Remco R. Bouckaert
2021 J jnl
Combinatorial perspectives on Dollo-
Adv. Appl. Math.
Remco R. Bouckaert, Mareike Fischer, Kristina Wicke
2019 J jnl
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.
PLoS Comput. Biol.
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
2019 J jnl
Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration.
PLoS Comput. Biol.
Jing Yang, Nicola F. Müller, Remco R. Bouckaert, Bing Xu, Alexei J. Drummond
2014 J jnl
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis.
PLoS Comput. Biol.
Remco R. Bouckaert, Joseph Heled, Denise Kühnert, Timothy G. Vaughan, Chieh-Hsi Wu, Dong Xie, Marc A. Suchard, Andrew Rambaut, Alexei J. Drummond
2013 J jnl
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks
CoRR
Remco R. Bouckaert
2013 J jnl
Error Estimation in Approximate Bayesian Belief Network Inference
CoRR
Enrique F. Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares
2013 J jnl
On characterizing Inclusion of Bayesian Networks
CoRR
Tomas Kocka, Remco R. Bouckaert, Milan Studený
2013 J jnl
Optimizing Causal Orderings for Generating DAGs from Data
CoRR
Remco R. Bouckaert
2013 J jnl
Properties of Bayesian Belief Network Learning Algorithms
CoRR
Remco R. Bouckaert
2010 J jnl
DensiTree: making sense of sets of phylogenetic trees.
Bioinform.
Remco R. Bouckaert
2010 J jnl
Efficient Algorithms for Conditional Independence Inference.
J. Mach. Learn. Res.
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindner, Milan Studený
2010 J jnl
WEKA - Experiences with a Java Open-Source Project.
J. Mach. Learn. Res.
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2009 C conf
A Hierarchical Face Recognition Algorithm.
ACML
Remco R. Bouckaert
2009 C conf
Conditional Density Estimation with Class Probability Estimators.
ACML
Eibe Frank, Remco R. Bouckaert
2008 — conf
Practical Bias Variance Decomposition.
Australasian Conference on Artificial Intelligence
Remco R. Bouckaert
2007 J jnl
Racing algorithms for conditional independence inference.
Int. J. Approx. Reason.
Remco R. Bouckaert, Milan Studený
2006 — conf
Efficient AUC Learning Curve Calculation.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert
2006 — conf
Generalized Unified Decomposition of Ensemble Loss.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert, Michael Goebel, Patricia J. Riddle
2006 — conf
Naive Bayes for Text Classification with Unbalanced Classes.
PKDD
Eibe Frank, Remco R. Bouckaert
2006 — conf
Voting Massive Collections of Bayesian Network Classifiers for Data Streams.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert
2005 C conf
Racing for Conditional Independence Inference.
ECSQARU
Remco R. Bouckaert, Milan Studený
2004 A* conf
Estimating replicability of classifier learning experiments.
ICML
Remco R. Bouckaert
2004 B conf
Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms.
PAKDD
Remco R. Bouckaert, Eibe Frank
2004 — conf
Naive Bayes Classifiers That Perform Well with Continuous Variables.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert
2003 — conf
A Probabilistic Line Breaking Algorithm.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert
2003 A* conf
Choosing Between Two Learning Algorithms Based on Calibrated Tests.
ICML
Remco R. Bouckaert
2003 — conf
Choosing Learning Algorithms Using Sign Tests with High Replicability.
Australian Conference on Artificial Intelligence
Remco R. Bouckaert
2001 A conf
On characterizing Inclusion of Bayesian Networks.
UAI
Tomás Kocka, Remco R. Bouckaert, Milan Studený
1996 J jnl
A modified simulation scheme for inference in Bayesian networks.
Int. J. Approx. Reason.
Remco R. Bouckaert, Enrique F. Castillo, José Manuel Gutiérrez
1995 C conf
Chain graphs: semantics and expressiveness.
ECSQARU
Remco R. Bouckaert, Milan Studený
1995 A conf
Error Estimation in Approximate Bayesian Belief Network Inference.
UAI
Enrique F. Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares
1994 A conf
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks.
UAI
Remco R. Bouckaert
1994 A conf
Properties of Bayesian Belief Network Learning Algorithms.
UAI
Remco R. Bouckaert
1993 C conf
IDAGs: a Perfect Map for Any Distribution.
ECSQARU
Remco R. Bouckaert
1993 C conf
Probalistic Network Construction Using the Minimum Description Length Principle.
ECSQARU
Remco R. Bouckaert
1992 A conf
Optimizing Causal Orderings for Generating DAGs from Data.
UAI
Remco R. Bouckaert