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2020 – today
- 2023
[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 - [c6]Lee B. Hinkle, Vangelis Metsis:
An LLVM-Inspired Framework for Unified Processing of Multimodal Time-Series Data. PETRA 2023: 91-94 - 2022
- [c5]Morgan Byers, Lee B. Hinkle, Vangelis Metsis:
Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models. AIAI (2) 2022: 402-413 - [c4]Lee B. Hinkle, Vangelis Metsis:
Individual Convolution of Ankle, Hip, and Wrist Data for Activities-of-Daily-Living Classification. Intelligent Environments 2022: 1-4 - [c3]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 - 2021
- [c2]Lee B. Hinkle, Vangelis Metsis:
Model Evaluation Approaches for Human Activity Recognition from Time-Series Data. AIME 2021: 209-215
2010 – 2019
- 2019
- [c1]Lee Hinkle, Kamrad Khoshhal, Vangelis Metsis:
Physiological Measurement for Emotion Recognition in Virtual Reality. ICDIS 2019: 136-143
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