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2020 – today
- 2024
[i2]Xiaomin Li, Mykhailo Sakevych, Gentry Atkinson, Vangelis Metsis:
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis. CoRR abs/2401.10282 (2024)- 2023
- [c9]Gentry Atkinson, Xiaomin Li, Vangelis Metsis:
Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels. EUSIPCO 2023: 1300-1304 - [c8]Lee B. Hinkle
, Tristan Pedro, Tyler Lynn, Gentry Atkinson, Vangelis Metsis:
Assisted Labeling Visualizer (ALVI): A Semi-Automatic Labeling System For Time-Series Data. ICASSP Workshops 2023: 1-5 - [c7]Lee B. Hinkle, Gentry Atkinson, Vangelis Metsis:
Fusion of Learned Representations for Multimodal Sensor Data Classification. AIAI (1) 2023: 404-415 - 2022
- [c6]Lee B. Hinkle, Gentry Atkinson, Vangelis Metsis:
An End-to-End Methodology for Semi-Supervised HAR Data Collection, Labeling, and Classification Using a Wristband. Intelligent Environments (Workshops) 2022: 370-379 - [c5]Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong:
Measuring Bias and Fairness in Multiclass Classification. NAS 2022: 1-6 - 2021
- [c4]Gentry Atkinson, Vangelis Metsis:
A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data. AIAI 2021: 479-493 - [c3]Gentry Atkinson, Vangelis Metsis:
TSAR: a Time Series Assisted Relabeling Tool for Reducing Label Noise. PETRA 2021: 203-209 - [i1]Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong:
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks. CoRR abs/2110.04397 (2021) - 2020
- [c2]Gentry Atkinson, Vangelis Metsis:
Identifying label noise in time-series datasets. UbiComp/ISWC Adjunct 2020: 238-243
2010 – 2019
- 2014
- [c1]Kevin Whiteside, Gentry Atkinson, Mary Mikel Stump, Dan E. Tamir, Grayson Lawrence:
Musing: Adaptable Mobile Augmented Reality Application for Museums and Art Galleries. EVA 2014
Coauthor Index
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