1. Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs
2. Michelle Carney , Barron Webster , Irene Alvarado , Kyle Phillips , Noura Howell , Jordan Griffith , Jonas Jongejan , Amit Pitaru , and Alexander Chen . 2020 . Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems ( Honolulu, HI, USA) (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–8. https://doi.org/10.1145/3334480.3382839 10.1145/3334480.3382839 Michelle Carney, Barron Webster, Irene Alvarado, Kyle Phillips, Noura Howell, Jordan Griffith, Jonas Jongejan, Amit Pitaru, and Alexander Chen. 2020. Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–8. https://doi.org/10.1145/3334480.3382839
3. Spatial Labeling: Leveraging Spatial Layout for Improving Label Quality in Non-Expert Image Annotation
4. ImageNet: A large-scale hierarchical image database
5. A Review of User Interface Design for Interactive Machine Learning