Physiological Measurement for Emotion Recognition in Virtual Reality. - Lee Hinkle; Kamrad Khoshhal; Vangelis Metsis (ICDIS, 2019)

Model Evaluation Approaches for Human Activity Recognition from Time-Series Data. - Lee B. Hinkle; Vangelis Metsis (AIME, 2021)

Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models. - Morgan Byers; Lee B. Hinkle; Vangelis Metsis (AIAI (2), 2022)

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)

Individual Convolution of Ankle, Hip, and Wrist Data for Activities-of-Daily-Living Classification. - Lee B. Hinkle; Vangelis Metsis (Intelligent Environments, 2022)

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)

An LLVM-Inspired Framework for Unified Processing of Multimodal Time-Series Data. - Lee B. Hinkle; Vangelis Metsis (PETRA, 2023)