| Covariance regression with random forests C Alakus, D Larocque, A Labbe BMC bioinformatics 24 (1), 258, 2023 | 11 | 2023 |
| Conditional canonical correlation estimation based on covariates with random forests C Alakuş, D Larocque, S Jacquemont, F Barlaam, CO Martin, K Agbogba, ... Bioinformatics 37 (17), 2714-2721, 2021 | 10 | 2021 |
| RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests C Alakus, D Larocque, A Labbe R JOURNAL 14 (1), 300-319, 2022 | 5 | 2022 |
| Neighborhood construction-based multi-objective evolutionary clustering algorithm with feature selection C Alakus Middle East Technical University, 2018 | 2 | 2018 |
| Package ‘CovRegRF’ C Alakus, D Larocque, A Labbe, H Ishwaran, UB Kogalur | | 2024 |
| Modeling Vehicle CO2 Emissions: Assessing Alternative Methods, Lag Effects, and Internal-External Factors C Alakus, L Miranda-Moreno, A Labbe, A Perez Villasenor, L Sun Lag Effects, and Internal-External Factors (May 17, 2024), 2024 | | 2024 |
| Package ‘RFCCA’ C Alakus, D Larocque, A Labbe, H Ishwaran, UB Kogalur, K Teranishi | | 2024 |
| Essays on Covariate-Based Canonical Correlation Estimation, Prediction Intervals, and Covariance Regression With Random Forests C Alakus HEC Montreal (Canada), 2022 | | 2022 |
| Supplementary Material for Conditional canonical correlation estimation based on covariates with random forests C Alakus, D Larocque, S Jacquemont, F Barlaam, CO Martin, K Agbogba, ... | | |