Marloes H. Maathuis

19 papers A 6Journal 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
estimateR: an R package to estimate and monitor the effective reproductive number.
BMC Bioinform.
Jérémie Scire, Jana S. Huisman, Ana Grosu, Daniel C. Angst, Adrian Lison, Jinzhou Li, Marloes H. Maathuis, Sebastian Bonhoeffer, Tanja Stadler
2021 A ed.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021
UAI
Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur
2020 A conf
Evaluation of Causal Structure Learning Algorithms via Risk Estimation.
UAI
Marco Eigenmann, Sach Mukherjee, Marloes H. Maathuis
2020 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I
ECML/PKDD (1)
Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II
ECML/PKDD (2)
Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III
ECML/PKDD (3)
Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2017 J jnl
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs.
J. Mach. Learn. Res.
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
2017 A conf
Interpreting and Using CPDAGs With Background Knowledge.
UAI
Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis
2017 — ed.
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), Jersey City, USA, June 29, 2016.
CFA@UAI
Frederick Eberhardt, Elias Bareinboim, Marloes H. Maathuis, Joris M. Mooij, Ricardo Silva
2017 A conf
Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges.
UAI
Marco Eigenmann, Preetam Nandy, Marloes H. Maathuis
2016 — ch.
A Review of Some Recent Advances in Causal Inference.
Handbook of Big Data
Marloes H. Maathuis, Preetam Nandy
2015 A conf
A Complete Generalized Adjustment Criterion.
UAI
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
2014 J jnl
Order-independent constraint-based causal structure learning.
J. Mach. Learn. Res.
Diego Colombo, Marloes H. Maathuis
2013 J jnl
A combined statistical approach and ground movement model for improving taxi time estimations at airports.
J. Oper. Res. Soc.
Stefan Ravizza, Jason A. D. Atkin, Marloes H. Maathuis, Edmund K. Burke
2013 J jnl
A generalized backdoor criterion.
CoRR
Marloes H. Maathuis, Diego Colombo
2012 J jnl
A modification of the PC algorithm yielding order-independent skeletons
CoRR
Diego Colombo, Marloes H. Maathuis
2012 J jnl
Causal stability ranking.
Bioinform.
Daniel J. Stekhoven, Izabel Moraes, Gardar Sveinbjörnsson, Lars Hennig, Marloes H. Maathuis, Peter Bühlmann
2011 J jnl
Learning high-dimensional DAGs with latent and selection variables
CoRR
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
2011 A conf
Learning high-dimensional DAGs with latent and selection variables (Abstract).
UAI
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson