A weighted spatial median for clustered data. - Jaakko Nevalainen; Denis Larocque; Hannu Oja (Stat. Methods Appl., 2007)

Multivariate trees for mixed outcomes. - Abdessamad Dine; Denis Larocque; François Bellavance (Comput. Stat. Data Anal., 2009)

A weighted multivariate signed-rank test for cluster-correlated data. - Riina Haataja; Denis Larocque; Jaakko Nevalainen; Hannu Oja (J. Multivar. Anal., 2009)

Identifying Good Connections in an Unstructured Peer-to-Peer Network: The Case of Gnutella. - Gilbert Babin; Denis Larocque; Abdessamad Dine (IICS, 2011)

Differentiating weak ties and strong ties among external sources of influences for enterprise resource planning (ERP) adoption. - Benoit Aubert; Pierre-Majorique Léger; Denis Larocque (Enterp. Inf. Syst., 2012)

An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment. - Imad Bou-Hamad; Abdel Latef Anouze; Denis Larocque (Ann. Oper. Res., 2017)

Prediction with a flexible finite mixture-of-regressions. - Ilmari Ahonen; Jaakko Nevalainen; Denis Larocque (Comput. Stat. Data Anal., 2019)

Non-parametric individual treatment effect estimation for survival data with random forests. - Sami Tabib; Denis Larocque (Bioinform., 2020)

Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection. - Michael R. Lindstrom; Hyuntae Jung; Denis Larocque (Entropy, 2020)

Conditional canonical correlation estimation based on covariates with random forests. - Cansu Alakus; Denis Larocque; Sébastien Jacquemont; Fanny Barlaam; Charles-Olivier Martin; Kristian Agbogba; Sarah Lippé; Aurélie Labbe (Bioinform., 2021)

Model-based graph reinforcement learning for inductive traffic signal control. - François-Xavier Devailly; Denis Larocque; Laurent Charlin (CoRR, 2022)

RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests. - Cansu Alakus; Denis Larocque; Aurélie Labbe (R J., 2022)

IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control. - François-Xavier Devailly; Denis Larocque; Laurent Charlin (IEEE Trans. Intell. Transp. Syst., 2022)

Improving the generalizability and robustness of large-scale traffic signal control. - Tianyu Shi; François-Xavier Devailly; Denis Larocque; Laurent Charlin (CoRR, 2023)

Covariance regression with random forests. - Cansu Alakus; Denis Larocque; Aurélie Labbe (BMC Bioinform., 2023)