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Posts by Collection
portfolio
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publications
Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series
Published in 2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023
Benchmarking TSFresh and MINIROCKET architectures for estimating pilot cognitive stress from multimodal physiological signals.
Recommended citation: N. Lee, P. W. Moore, L. J. Brattain. (2023). "Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series." 2023 IEEE High Performance Extreme Computing Conference (HPEC).
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Robust Fine-Tuning of Vision-Language Models for Domain Generalization
Published in 2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023
Robust fine-tuning of vision-language foundation models for few-shot detection and domain generalization across limited-data sensing tasks.
Recommended citation: K. Vogt-Lowell*, N. Lee*, T. Tsiligkaridis, M. Vaillant. (2023). "Robust Fine-Tuning of Vision-Language Models for Domain Generalization." 2023 IEEE High Performance Extreme Computing Conference (HPEC). (* equal contribution)
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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