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Found 9 papers, 2 papers with code
Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies
We assessed the efficacy of such eye-gaze labels by training Convolutional Neural Networks (CNNs) and comparing their performance to those trained with ground truth annotations and a heuristic-based baseline.
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge
The challenge provided annotated histologic tumor images from six different domains and evaluated the algorithmic approaches for mitotic figure detection provided by nine challenge participants on ten independent domains.
Next Steps for Human-Centered Generative AI: A Technical Perspective
Through iterative, cross-disciplinary discussions, we define and propose next-steps for Human-centered Generative AI (HGAI).
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
In a second usability study, we developed and implemented a reading exercise with 95 novice news readers to measure exposure to coverage diversity.
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks
Alternatively, we propose GANravel a user-driven direction disentanglement tool that complements the existing GAN architectures and allows users to improve editing directions iteratively.
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage
There are many potential benefits to news readers accessing diverse sources.
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
This work presents a mitosis detection method with only one vanilla Convolutional Neural Network (CNN).
GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks
Generative Adversarial Network (GAN) is widely adopted in numerous application areas, such as data preprocessing, image editing, and creativity support.
FaceOff: Detecting Face Touching with a Wrist-Worn Accelerometer
According to the CDC, one key step of preventing oneself from contracting coronavirus (COVID-19) is to avoid touching eyes, nose, and mouth with unwashed hands.
Human-Computer Interaction
