David R. Reich
Orcid: 0000-0002-3524-3788Affiliations:
- University of Potsdam, Department of Computer Science, Germany
- University of Zurich, Department of Computational Linguistics, Switzerland
According to our database1,
David R. Reich
authored at least 15 papers
between 2021 and 2024.
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Bibliography
2024
Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code using Deep Neural Networks.
Proc. ACM Softw. Eng., 2024
Comput. Graph., 2024
Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading.
Proc. ACM Hum. Comput. Interact., May, 2023
SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks.
Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023
Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models.
Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification.
Proceedings of The 1st Gaze Meets ML workshop, 2022
Inferring Native and Non-Native Human Reading Comprehension and Subjective Text Difficulty from Scanpaths in Reading.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
2021
DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection Using Deep Neural Networks.
IEEE Trans. Biom. Behav. Identity Sci., 2021