The Spatio-Temporal Representation of Natural Reading
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4407-4407.
Abstract
My thesis is about studying how the brain organizes complex information when it read text in a naturalistic setting. My work is an integrated interdisciplinary effort which employs functional neuroimaging, and revolves around the development of machine learning methods to uncover multi-layer cognitive processes from brain activity recordings.
Leila Wehbe. 2015. The Spatio-Temporal Representation of Natural Reading. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4407–4407. https://ijcai.org/proceedings/2015/651
Wehbe, L. (2015). The Spatio-Temporal Representation of Natural Reading. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 (pp. 4407–4407). IJCAI. https://ijcai.org/proceedings/2015/651
@inproceedings{ijcai2015p651,
title = {The Spatio-Temporal Representation of Natural Reading},
author = {Wehbe, Leila},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4407--4407},
year = {2015},
month = {7},
note = {Doctoral Consortium},
url = {https://ijcai.org/proceedings/2015/651},
}
TY - CPAPER TI - The Spatio-Temporal Representation of Natural Reading AU - Wehbe, Leila T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4407 EP - 4407 UR - https://ijcai.org/proceedings/2015/651 ER -Copied
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