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2020 – today
- 2023
[j12]Cansu Alakus, Denis Larocque, Aurélie Labbe:
Covariance regression with random forests. BMC Bioinform. 24(1): 258 (2023)- [i4]Tianyu Shi, François-Xavier Devailly, Denis Larocque, Laurent Charlin:
Improving the generalizability and robustness of large-scale traffic signal control. CoRR abs/2306.01925 (2023) - 2022
- [j11]Cansu Alakus, Denis Larocque, Aurélie Labbe:
RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests. R J. 14(1): 300-320 (2022) - [j10]François-Xavier Devailly
, Denis Larocque, Laurent Charlin:
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 23(7): 7496-7507 (2022) - [i3]François-Xavier Devailly, Denis Larocque, Laurent Charlin:
Model-based graph reinforcement learning for inductive traffic signal control. CoRR abs/2208.00659 (2022) - 2021
- [j9]Cansu Alakus, Denis Larocque, Sébastien Jacquemont, Fanny Barlaam, Charles-Olivier Martin, Kristian Agbogba, Sarah Lippé, Aurélie Labbe:
Conditional canonical correlation estimation based on covariates with random forests. Bioinform. 37(17): 2714-2721 (2021) - [i2]Cansu Alakus, Denis Larocque, Aurélie Labbe:
RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests. CoRR abs/2106.08217 (2021) - 2020
- [j8]Sami Tabib, Denis Larocque:
Non-parametric individual treatment effect estimation for survival data with random forests. Bioinform. 36(2): 629-636 (2020) - [j7]Michael R. Lindstrom, Hyuntae Jung, Denis Larocque:
Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection. Entropy 22(12): 1363 (2020) - [i1]François-Xavier Devailly, Denis Larocque, Laurent Charlin:
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control. CoRR abs/2003.05738 (2020)
2010 – 2019
- 2019
- [j6]Ilmari Ahonen, Jaakko Nevalainen, Denis Larocque:
Prediction with a flexible finite mixture-of-regressions. Comput. Stat. Data Anal. 132: 212-224 (2019) - 2017
- [j5]Imad Bou-Hamad, Abdel Latef Anouze, Denis Larocque:
An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment. Ann. Oper. Res. 253(1): 77-95 (2017) - 2012
- [j4]Benoit Aubert, Pierre-Majorique Léger, Denis Larocque:
Differentiating weak ties and strong ties among external sources of influences for enterprise resource planning (ERP) adoption. Enterp. Inf. Syst. 6(2): 215-235 (2012) - 2011
- [c1]Gilbert Babin, Denis Larocque, Abdessamad Dine:
Identifying Good Connections in an Unstructured Peer-to-Peer Network: The Case of Gnutella. IICS 2011: 48-59
2000 – 2009
- 2009
- [j3]Abdessamad Dine, Denis Larocque, François Bellavance:
Multivariate trees for mixed outcomes. Comput. Stat. Data Anal. 53(11): 3795-3804 (2009) - [j2]Riina Haataja, Denis Larocque, Jaakko Nevalainen, Hannu Oja:
A weighted multivariate signed-rank test for cluster-correlated data. J. Multivar. Anal. 100(6): 1107-1119 (2009) - 2007
- [j1]Jaakko Nevalainen, Denis Larocque, Hannu Oja:
A weighted spatial median for clustered data. Stat. Methods Appl. 15(3): 355-379 (2007)
Coauthor Index
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