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Marloes H. Maathuis
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2020 – today
- 2023
- [j5]Jérémie Scire
, Jana S. Huisman, Ana Grosu, Daniel C. Angst, Adrian Lison
estimateR: an R package to estimate and monitor the effective reproductive number. BMC Bioinform. 24(1): 310 (2023) - 2021
- [e5]Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur:
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021. Proceedings of Machine Learning Research 161, AUAI Press 2021 [contents] - 2020
- [c5]Marco Eigenmann, Sach Mukherjee, Marloes H. Maathuis:
Evaluation of Causal Structure Learning Algorithms via Risk Estimation. UAI 2020: 151-160 - [e4]Ulf Brefeld, Élisa Fromont
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11906, Springer 2020, ISBN 978-3-030-46149-2 [contents] - [e3]Ulf Brefeld, Élisa Fromont
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11907, Springer 2020, ISBN 978-3-030-46146-1 [contents] - [e2]Ulf Brefeld, Élisa Fromont
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11908, Springer 2020, ISBN 978-3-030-46132-4 [contents]
2010 – 2019
- 2017
- [j4]Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs. J. Mach. Learn. Res. 18: 220:1-220:62 (2017) - [c4]Marco Eigenmann, Preetam Nandy, Marloes H. Maathuis:
Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges. UAI 2017 - [c3]Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis:
Interpreting and Using CPDAGs With Background Knowledge. UAI 2017 - [e1]Frederick Eberhardt, Elias Bareinboim, Marloes H. Maathuis, Joris M. Mooij, Ricardo Silva:
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. CEUR Workshop Proceedings 1792, CEUR-WS.org 2017 [contents] - 2016
- [p1]Marloes H. Maathuis, Preetam Nandy:
A Review of Some Recent Advances in Causal Inference. Handbook of Big Data 2016: 387-407 - 2015
- [c2]Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
A Complete Generalized Adjustment Criterion. UAI 2015: 682-691 - 2014
- [j3]Diego Colombo, Marloes H. Maathuis:
Order-independent constraint-based causal structure learning. J. Mach. Learn. Res. 15(1): 3741-3782 (2014) - 2013
- [j2]Stefan Ravizza, Jason A. D. Atkin, Marloes H. Maathuis
A combined statistical approach and ground movement model for improving taxi time estimations at airports. J. Oper. Res. Soc. 64(9): 1347-1360 (2013) - [i3]Marloes H. Maathuis
A generalized backdoor criterion. CoRR abs/1307.5636 (2013) - 2012
- [j1]Daniel J. Stekhoven, Izabel Moraes, Gardar Sveinbjörnsson
Causal stability ranking. Bioinform. 28(21): 2819-2823 (2012) - [i2]Diego Colombo, Marloes H. Maathuis:
A modification of the PC algorithm yielding order-independent skeletons. CoRR abs/1211.3295 (2012) - 2011
- [c1]Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson:
Learning high-dimensional DAGs with latent and selection variables (Abstract). UAI 2011: 850 - [i1]Diego Colombo, Marloes H. Maathuis
Learning high-dimensional DAGs with latent and selection variables. CoRR abs/1104.5617 (2011)
Coauthor Index
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