PostDoc and Lecturer | Dr. Silvia Makowski
- Campus Golm
University of Potsdam
Department of Computer Science
Building 70, Office 2.15
An der Bahn 2
14476 Potsdam, Germany
Publications
- Patrick Haller, Cui Ding, Maja Stegenwallner-Schütz, David R. Reich, Iva Koncic, Silvia Makowski, Lena A. Jäger.
Replicate Me if You Can: Assessing Measurement Reliability of Individual Differences in Reading Across Measurement Occasions and Methods.
Cognitive Science, 2026. - Paul Prasse, David R. Reich, Jakob Chwastek, Silvia Makowski, Lena A. Jäger, Tobias Scheffer.
Detection of Alcohol Inebriation from Eye Movements using Remote and Wearable Eye Trackers.
Proceedings of the ACM Symposium on Eye-Tracking Research and Applications, 2025. - Paul Prasse, David R. Reich, Silvia Makowski, Tobias Scheffer, Lena A. Jäger.
Improving cognitive-state analysis from eye gaze with synthetic eye-movement data.
Computers & Graphics, 2024. - Silvia Makowski, Paul Prasse, Lena A. Jäger, Tobias Scheffer.
Detection of drowsiness and impending microsleep from eye movements.
Proceedings of the NeurIPS Workshop Gaze Meets ML, 2023. - Silvia Makowski, Annika Bätz, Paul Prasse, Lena A. Jäger, Tobias Scheffer.
Detection of Alcohol Inebriation from Eye Movements.
Proceedings of the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 2023. - Paul Prasse, David R. Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer and Lena A. Jäger.
SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks.
Proceedings of the ACM Symposium on Eye-Tracking Research and Applications, 2023. - Silvia Makowski, Paul Prasse, Lena A. Jäger, and Tobias Scheffer.
Oculomotoric biometric identification under the influence of alcohol and fatigue.
International Joint Conference on Biometrics, 2022. - Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, and Lena A. Jäger.
Detection of ADHD based on eye movements during natural viewing.
Proceedings of the European Conference on Machine Learning (ECML-PKDD), 2022. - Paul Prasse, David R. Reich, Silvia Makowski, Lena A. Jäger and Tobias Scheffer.
Fairness in oculomotoric biometric identification.
ACM Symposium on Eye-Tracking Research and Applications, 2022. - Silvia Makowski, Paul Prasse, David R. Reich, Daniel Krakowczyk, Lena A. Jäger, Tobias Scheffer.
DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection using Deep Neural Networks. IEEE Transactions on Biometrics, Behavior, and Identity Science, DOI: 10.1109/TBIOM.2021.3116875, 2021. - Silvia Makowski, Lena A. Jäger, Paul Prasse, Tobias Scheffer.
Biometric identification and presentation-attack detection using micro- and macro-movements of the eyes. International Joint Conference on Biometrics, 2020. - Paul Prasse, Lena A. Jäger, Silvia Makowski, Moritz Feuerpfeil, Tobias Scheffer.
On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification. (Online talk) International Conference on Knowledge-Based and Intelligent Information & Engineering Systems: Special Session on Eye Movement Data Processing and Analysis, 2020. - Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer.
Discriminative Viewer Identification using Generative Models of Eye Gaze. (Online talk) International Conference on Knowledge-Based and Intelligent Information & Engineering Systems: Special Session on Eye Movement Data Processing and Analysis, 2020. - Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, and Tobias Scheffer. Deep Eyedentification: Biometric identification using micro-movements of the eye. To appear in Brefeld, Fromont, Knobbe, Hotho, Maathuis, Robardet (Eds.). Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. LNCS, Springer Nature, Cham, Switzerland. [PDF]
- Silvia Makowski, Lena A. Jäger, Ahmed Abdelwahab, Niels Landwehr, and Tobias Scheffer (2019). A discriminative model for identifying readers and assessing text comprehension from eye movements. In: Berlingerio M., Bonchi F., Gärtner T., Hurley N., Ifrim G. (Eds.). Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2018. Lecture Notes in Computer Science, vol. 11051. Springer Nature, Cham, Switzerland.