14 citations · 27 across the 4 of their papers we have counts for
6 papers
User Trust on an Explainable AI-based Medical Diagnosis Support System
Yao Rong, Nora Castner, Efe Bozkir +1
Recent research has supported that system explainability improves user trust and willingness to use medical AI for diagnostic support. In this paper, we use chest disease diagnosis…
Human Attention in Fine-grained Classification
Yao Rong, Wenjia Xu, Zeynep Akata +1
The way humans attend to, process and classify a given image has the potential to vastly benefit the performance of deep learning models. Exploiting where humans are focusing can r…
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
Yao Rong, Chao Han, Christian Hellert +2
As interest in autonomous driving increases, efforts are being made to meet requirements for the high-level automation of vehicles. In this context, the functionality inside the ve…
Explainable Online Validation of Machine Learning Models for Practical Applications
Wolfgang Fuhl, Yao Rong, Thomas Motz +4
We present a reformulation of the regression and classification, which aims to validate the result of a machine learning algorithm. Our reformulation simplifies the original proble…
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring
Yao Rong, Zeynep Akata, Enkelejda Kasneci
Numerous car accidents are caused by improper driving maneuvers. Serious injuries are however avoidable if such driving maneuvers are detected beforehand and the driver is assisted…
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci
In this paper, we use fully convolutional neural networks for the semantic segmentation of eye tracking data. We also use these networks for reconstruction, and in conjunction with…