Zobrazeno 1 - 10
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pro vyhledávání: '"Paulsen, Sean"'
Autor:
Paulsen, Sean, Casey, Michael
We present a sequential transfer learning framework for transformers on functional Magnetic Resonance Imaging (fMRI) data and demonstrate its significant benefits for decoding musical timbre. In the first of two phases, we pre-train our stacked-encod
Externí odkaz:
http://arxiv.org/abs/2305.13226
Autor:
Paulsen, Sean, Casey, Michael
In this work we introduce a self-supervised pretraining framework for transformers on functional Magnetic Resonance Imaging (fMRI) data. First, we pretrain our architecture on two self-supervised tasks simultaneously to teach the model a general unde
Externí odkaz:
http://arxiv.org/abs/2305.09057
Stimulus decoding of functional Magnetic Resonance Imaging (fMRI) data with machine learning models has provided new insights about neural representational spaces and task-related dynamics. However, the scarcity of labelled (task-related) fMRI data i
Externí odkaz:
http://arxiv.org/abs/2305.08987
Autor:
Paulsen, Sean
Designing machine intelligence to converse with a human user necessarily requires an understanding of how humans participate in conversation, and thus conversation modeling is an important task in natural language processing. New breakthroughs in arc
Externí odkaz:
http://arxiv.org/abs/2305.08818
Akademický článek
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Publikováno v:
Proceedings of SPIE; February 2020, Vol. 11238 Issue: 1 p112380S-112380S-13, 11125634p
Autor:
Wartell, Julie
Publikováno v:
Criminal Justice Review (Sage Publications); 03/01/2011, Vol. 36 Issue 1, p117-118, 2p
Publikováno v:
Marine Georesources & Geotechnology; Jan1998, Vol. 16 Issue 1, p23-40, 18p
Autor:
Paulsen, Sean C., Owen, Robert M.
Publikováno v:
Marine Georesources & Geotechnology; Jan1996, Vol. 14 Issue 2, p143-159, 17p
Publikováno v:
Proceedings of SPIE; 10/28/2019, Vol. 11238, p112380S-112380S-13, 1p