| 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 | 221 | 2014 |
| 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 | 144 | 2012 |
| Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) M Toneva, L Wehbe Advances in Neural Information Processing Systems 32, 2019 | 83 | 2019 |
| 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 | 78 | 2014 |
| 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 | 64 | 2015 |
| Inducing brain-relevant bias in natural language processing models D Schwartz, M Toneva, L Wehbe Advances in neural information processing systems 32, 2019 | 39 | 2019 |
| 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 | 27* | 2019 |
| 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, ... Cerebral Cortex 31 (9), 4006-4023, 2021 | 19 | 2021 |
| Neural taskonomy: Inferring the similarity of task-derived representations from brain activity A Wang, M Tarr, L Wehbe Advances in Neural Information Processing Systems 32, 2019 | 18 | 2019 |
| Regularized brain reading with shrinkage and smoothing L Wehbe, A Ramdas, RC Steorts, CR Shalizi The annals of applied statistics 9 (4), 1997, 2015 | 16 | 2015 |
| Nonparametric independence testing for small sample sizes A Ramdas, L Wehbe 24th International Conference on Artificial Intelligence, 3777-3783, 2015 | 16* | 2015 |
| Decoding language from the brain B Murphy, L Wehbe, A Fyshe Language, cognition, and computational models, 53-80, 2018 | 13 | 2018 |
| Can fMRI reveal the representation of syntactic structure in the brain? AJ Reddy, L Wehbe Advances in Neural Information Processing Systems 34, 2021 | 10* | 2021 |
| Combining computational controls with natural text reveals new aspects of meaning composition M Toneva, TM Mitchell, L Wehbe bioRxiv, 2020 | 7 | 2020 |
| Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction M Toneva, O Stretcu, B Póczos, L Wehbe, TM Mitchell Advances in Neural Information Processing Systems 33, 5284-5295, 2020 | 4 | 2020 |
| 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 | 4 | 2012 |
| 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 3 (1), 44-52, 2020 | 3 | 2020 |
| 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 | 3 | 2019 |
| The Time and Location of Natural Reading Processes in the Brain L Wehbe Ph. D. Dissertation, 2015 | 2 | 2015 |
| Same cause; different effects in the brain M Toneva, J Williams, A Bollu, C Dann, L Wehbe arXiv preprint arXiv:2202.10376, 2022 | 1 | 2022 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerifierad e-postadress på cs.cmu.edu
