Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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52 results for Aurelie Lozano

Multi-class cost-sensitive boosting with p-norm loss functions
- - Aurélie C. Lozano
  - Naoki Abe
- 2008
- KDD 2008
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
- - Aurélie C. Lozano
  - Hantian Ding
  - et al.
- 2023
- BMC Bioinformatics
A general family of trimmed estimators for robust high-dimensional data analysis
- - Eunho Yang
  - Aurelie C. Lozano
  - et al.
- 2018
- Electronic Journal of Statistics
Minimum Distance Lasso for robust high-dimensional regression
- - Aurelie C. Lozano
  - Nicolai Meinshausen
  - et al.
- 2016
- Electronic Journal of Statistics
Bayesian regularization via graph Laplacian
- - Fei Liu
  - Sounak Chakraborty
  - et al.
- 2014
- Bayesian Analysis
Grouped graphical Granger modeling for gene expression regulatory networks discovery
- - Aurélie C. Lozano
  - Naoki Abe
  - et al.
- 2009
- Bioinformatics
A graph Laplacian prior for Bayesian variable selection and grouping
- - Sounak Chakraborty
  - Aurelie C. Lozano
- 2019
- CSDA
Generalized Kalman smoothing: Modeling and algorithms
- - Aleksandr Y. Aravkin
  - James V. Burke
  - et al.
- 2017
- Automatica
How to foster innovation: A data-driven approach to measuring economic competitiveness
- - C. Kuhlman
  - Karthikeyan Natesan Ramamurthy
  - et al.
- 2017
- IBM J. Res. Dev
An efficient nonlinear regression approach for genome-wide detection of marginal and interacting genetic variations
- - Seunghak Lee
  - Aurélie Lozano
  - et al.
- 2016
- Journal of Computational Biology