Musing: Adaptable Mobile Augmented Reality Application for Museums and Art Galleries. - Kevin Whiteside; Gentry Atkinson; Mary Mikel Stump; Dan E. Tamir; Grayson Lawrence (EVA, 2014)

Identifying label noise in time-series datasets. - Gentry Atkinson; Vangelis Metsis (UbiComp/ISWC Adjunct, 2020)

A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data. - Gentry Atkinson; Vangelis Metsis (AIAI, 2021)

TSAR: a Time Series Assisted Relabeling Tool for Reducing Label Noise. - Gentry Atkinson; Vangelis Metsis (PETRA, 2021)

Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks. - Cody Blakeney; Gentry Atkinson; Nathaniel Huish; Yan Yan 002; Vangelis Metsis; Ziliang Zong (CoRR, 2021)

An End-to-End Methodology for Semi-Supervised HAR Data Collection, Labeling, and Classification Using a Wristband. - Lee B. Hinkle; Gentry Atkinson; Vangelis Metsis (Intelligent Environments (Workshops), 2022)

Measuring Bias and Fairness in Multiclass Classification. - Cody Blakeney; Gentry Atkinson; Nathaniel Huish; Yan Yan 002; Vangelis Metsis; Ziliang Zong (NAS, 2022)

Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels. - Gentry Atkinson; Xiaomin Li; Vangelis Metsis (EUSIPCO, 2023)

Assisted Labeling Visualizer (ALVI): A Semi-Automatic Labeling System For Time-Series Data. - Lee B. Hinkle; Tristan Pedro; Tyler Lynn; Gentry Atkinson; Vangelis Metsis (ICASSP Workshops, 2023)

Fusion of Learned Representations for Multimodal Sensor Data Classification. - Lee B. Hinkle; Gentry Atkinson; Vangelis Metsis (AIAI (1), 2023)

BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis. - Xiaomin Li; Mykhailo Sakevych; Gentry Atkinson; Vangelis Metsis (CoRR, 2024)