Leila Wehbe
Leila Wehbe
Verified email at cmu.edu - Homepage
Title
Cited by
Cited by
Year
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell
PloS one 9 (11), e112575, 2014
1752014
Tracking neural coding of perceptual and semantic features of concrete nouns
G Sudre, D Pomerleau, M Palatucci, L Wehbe, A Fyshe, R Salmelin, ...
NeuroImage 62 (1), 451-463, 2012
1292012
Aligning context-based statistical models of language with brain activity during reading
L Wehbe, A Vaswani, K Knight, T Mitchell
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
562014
A compositional and interpretable semantic space
A Fyshe, L Wehbe, P Talukdar, B Murphy, T Mitchell
Proceedings of the 2015 conference of the north american chapter of the …, 2015
552015
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
M Toneva, L Wehbe
arXiv preprint arXiv:1905.11833, 2019
262019
Inducing brain-relevant bias in natural language processing models
D Schwartz, M Toneva, L Wehbe
arXiv preprint arXiv:1911.03268, 2019
172019
Regularized brain reading with shrinkage and smoothing
L Wehbe, A Ramdas, RC Steorts, CR Shalizi
Annals of Applied Statistics 9 (4), 1997-2022, 2015
162015
The lexical semantics of adjective–noun phrases in the human brain
A Fyshe, G Sudre, L Wehbe, N Rafidi, TM Mitchell
Human brain mapping 40 (15), 4457-4469, 2019
15*2019
Nonparametric independence testing for small sample sizes
A Ramdas, L Wehbe
24th International Conference on Artificial Intelligence, 3777-3783, 2015
14*2015
Decoding language from the brain
B Murphy, L Wehbe, A Fyshe
Language, cognition, and computational models, 53-80, 2018
72018
Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network
L Wehbe, IA Blank, C Shain, R Futrell, R Levy, T von der Malsburg, ...
bioRxiv, 2020
42020
Neural taskonomy: Inferring the similarity of task-derived representations from brain activity
AY Wang, L Wehbe, M Tarr
32019
Decoding word semantics from magnetoencephalography time series transformations
A Fyshe, G Sudre, L Wehbe, B Murphy, T Mitchell
Proceedings of the 3rd Workshop on Machine Learning and Inference in …, 2012
32012
The Time and Location of Natural Reading Processes in the Brain
L Wehbe
Ph. D. Dissertation, 2015
22015
Self-Discriminative Learning for Unsupervised Document Embedding
HY Chen, CH Hu, L Wehbe, SD Lin
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
12019
A Deep Learning Model for Automated Classification of Intraoperative Continuous EMG
X Zha, L Wehbe, RJ Sclabassi, Z Mace, YV Liang, A Yu, J Leonardo, ...
IEEE Transactions on Medical Robotics and Bionics, 2020
2020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
M Toneva, O Stretcu, B Poczos, L Wehbe, TM Mitchell
arXiv preprint arXiv:2009.08424, 2020
2020
Toward automated interpretation of electromyography for intraoperative neurophysiological monitoring using machine learning
X Zha, L Wehbe, RJ Sclabassi, Z Mace, YV Liang, TA Hillman, DA Chen, ...
2020
Combining computational controls with natural text reveals new aspects of meaning composition
M Toneva, TM Mitchell, L Wehbe
bioRxiv, 2020
2020
The meaning that emerges from combining words is robustly localizable in space but not in time
M Toneva, TM Mitchell, L Wehbe
bioRxiv, 2020
2020
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