Leila Wehbe
Affiliations: | Machine Learning Department | Carnegie Mellon University, Pittsburgh, PA |
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Parents
Sign in to add mentor| Nancy Kanwisher | research assistant | ||
| Tom Michael Mitchell | grad student | ||
| Jack L. Gallant | post-doc |
Children
Sign in to add trainee| RUOGU LIN | grad student | ||
| Aria Yuan Wang | grad student | 2018- | Carnegie Mellon |
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Publications
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| Wu S, Ramdas A, Wehbe L. (2022) Brainprints: identifying individuals from magnetoencephalograms. Communications Biology. 5: 852 |
| Ravishankar S, Toneva M, Wehbe L. (2021) Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers in Computational Neuroscience. 15: 737324 |
| Wehbe L, Blank IA, Shain C, et al. (2021) Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network. Cerebral Cortex (New York, N.Y. : 1991) |
| Fyshe A, Sudre G, Wehbe L, et al. (2019) The lexical semantics of adjective-noun phrases in the human brain. Human Brain Mapping |
| Wehbe L, Ramdas A, Steorts RC, et al. (2015) REGULARIZED BRAIN READING WITH SHRINKAGE AND SMOOTHING. The Annals of Applied Statistics. 9: 1997-2022 |
| Wehbe L, Ramdas A, Steorts RC, et al. (2015) Regularized brain reading with shrinkage and smoothing Annals of Applied Statistics. 9: 1997-2022 |
| Wehbe L, Murphy B, Talukdar P, et al. (2014) Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses. Plos One. 9: e112575 |