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Journal Articles
- 2023
[j14]Cansu Alakus, Denis Larocque, Aurélie Labbe:
Covariance regression with random forests. BMC Bioinform. 24(1): 258 (2023)- 2022
- [j13]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) - [j12]Mengying Lei
, Aurélie Labbe, Yuankai Wu, Lijun Sun:
Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging. IEEE Trans. Intell. Transp. Syst. 23(10): 18962-18974 (2022) - 2021
- [j11]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) - [j10]Stefan Drakulich, Anne-Charlotte Thiffault, Emily R. Olafson, Olivier Parent, Aurélie Labbe, Matthew D. Albaugh, Budhachandra S. Khundrakpam, Simon Ducharme, Alan C. Evans, M. Mallar Chakravarty, Sherif Karama:
Maturational trajectories of pericortical contrast in typical brain development. NeuroImage 235: 117974 (2021) - 2020
- [j9]Kevin McGregor, Aurélie Labbe, Celia M. T. Greenwood:
MDiNE: a model to estimate differential co-occurrence networks in microbiome studies. Bioinform. 36(6): 1840-1847 (2020) - [j8]Catherine Schramm, Sébastien Jacquemont, Karim Oualkacha, Aurélie Labbe, Celia M. T. Greenwood:
KSPM: A Package For Kernel Semi-Parametric Models. R J. 12(2): 189 (2020) - 2018
- [j7]Luc Villandré, Aurélie Labbe, Bluma Brenner, Michel Roger, David A. Stephens:
DM-PhyClus: a Bayesian phylogenetic algorithm for infectious disease transmission cluster inference. BMC Bioinform. 19(1): 324:1-324:16 (2018) - 2016
- [j6]Kathleen Oros Klein, Stepan Grinek, Sasha Bernatsky, Luigi Bouchard, Antonio Ciampi, Ines Colmegna, Jean-Philippe Fortin, Long Gao, Marie-France Hivert, Marie Hudson, Michael S. Kobor, Aurélie Labbe, Julia L. MacIsaac, Michael J. Meaney, Alexander M. Morin, Kieran J. O'Donnell, Tomi Pastinen, Marinus H. Van Ijzendoorn, Gregory Voisin, Celia M. T. Greenwood:
funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types. Bioinform. 32(4): 593-595 (2016) - [j5]Sulantha Mathotaarachchi, Seqian Wang, Monica Shin, Tharick A. Pascoal, Andréa L. Benedet, Min Su Kang, Thomas Beaudry, Vladimir S. Fonov, Serge Gauthier, Aurélie Labbe, Pedro Rosa-Neto:
VoxelStats: A MATLAB Package for Multi-Modal Voxel-Wise Brain Image Analysis. Frontiers Neuroinformatics 10: 20 (2016) - [j4]Simon Ducharme, Matthew D. Albaugh, Tuong-Vi Nguyen, James J. Hudziak, José María Mateos-Pérez, Aurélie Labbe, Alan C. Evans, Sherif Karama:
Trajectories of cortical thickness maturation in normal brain development - The importance of quality control procedures. NeuroImage 125: 267-279 (2016) - 2013
- [j3]Greg C. Imholte, Marie-Pier Scott-Boyer, Aurélie Labbe, Christian F. Deschepper, Raphael Gottardo:
iBMQ: a R/Bioconductor package for integrated Bayesian modeling of eQTL data. Bioinform. 29(21): 2797-2798 (2013) - 2011
- [j2]Arafat Tayeb, Aurélie Labbe, Alexandre Bureau, Chantal Mérette:
Solving genetic heterogeneity in extended families by identifying sub-types of complex diseases. Comput. Stat. 26(3): 539-560 (2011) - 2009
- [j1]Amira Djebbari, Aurélie Labbe:
Refining gene signatures: a Bayesian approach. BMC Bioinform. 10: 410 (2009)
Conference and Workshop Papers
- 2021
- [c2]Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. AAAI 2021: 4478-4485 - 2019
- [c1]Bogdan Negoita, Gregory Vial, Maha Shaikh, Aurélie Labbe:
Code Forking and Software Development Project Sustainability: Evidence from GitHub. ICIS 2019
Informal and Other Publications
- 2022
- [i5]Mengying Lei, Aurélie Labbe, Lijun Sun:
Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data. CoRR abs/2208.09978 (2022) - 2021
- [i4]Cansu Alakus, Denis Larocque, Aurélie Labbe:
RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests. CoRR abs/2106.08217 (2021) - [i3]Mengying Lei, Aurélie Labbe, Lijun Sun:
Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. CoRR abs/2109.00046 (2021) - [i2]Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun:
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. CoRR abs/2109.12144 (2021) - 2020
- [i1]Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. CoRR abs/2006.07527 (2020)
Coauthor Index
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