Challenges in Interpretability of Neural Networks for Eye Movement Data-Reference-Cited by-同舟云学术

Challenges in Interpretability of Neural Networks for Eye Movement Data

Published:2020-05-18 Issue: Volume: Page:
ISSN:
Container-title:ACM Symposium on Eye Tracking Research and Applications
language:
Short-container-title:

Author:

Kumar Ayush¹,Howlader Prantik²,Garcia Rafael³,Weiskopf Daniel³,Mueller Klaus²

Affiliation:

1. Stony Brook University, USA

2. Stony Brook University

3. University of Stuttgart

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3379156.3391361

Reference24 articles.

1. Visual Analytics for Explainable Deep Learning

2. Machine learning accurately classifies age of toddlers based on eye tracking

3. Encodji

4. Wolfgang Fuhl Thiago Santini Gjergji Kasneci Wolfgang Rosenstiel and Enkelejda Kasneci. 2017. PupilNet v2.0: Convolutional neural networks for CPU based real time robust pupil detection. arXiv preprint 1711.00112(2017). Wolfgang Fuhl Thiago Santini Gjergji Kasneci Wolfgang Rosenstiel and Enkelejda Kasneci. 2017. PupilNet v2.0: Convolutional neural networks for CPU based real time robust pupil detection. arXiv preprint 1711.00112(2017).

5. A task-and-technique centered survey on visual analytics for deep learning model engineering

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Do courts grant women their inheritance shares? An analysis of case law in India;World Development;2024-10

2. Women’s right to property and the child quantity-quality trade-off: evidence from India;Journal of Population Economics;2023-08-29

3. Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models;2023 Symposium on Eye Tracking Research and Applications;2023-05-30

4. Exploring the Effects of Scanpath Feature Engineering for Supervised Image Classification Models;Proceedings of the ACM on Human-Computer Interaction;2023-05-17

5. A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge;Frontiers in Psychology;2022-03-02