Paul Prasse

According to our database, Paul Prasse authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving cognitive-state analysis from eye gaze with synthetic eye-movement data.

Paul Prasse, David R. Reich, Silvia Makowski, Tobias Scheffer, Lena A. Jäger

Comput. Graph., 2024

Predicting Dose-Response Curves with Deep Neural Networks.

Pedro Alonso Campana, Paul Prasse, Tobias Scheffer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fine-Tuning Pre-Trained Language Models with Gaze Supervision.

Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading.

Shuwen Deng, David R. Reich, Paul Prasse, Patrick Haller, Tobias Scheffer, Lena A. Jäger

Proc. ACM Hum. Comput. Interact., May, 2023

Detection of Alcohol Inebriation from Eye Movements.

Silvia Makowski, Annika Bätz, Paul Prasse, Lena A. Jäger, Tobias Scheffer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Detection of Drowsiness and Impending Microsleep from Eye Movements.

Silvia Makowski, Paul Prasse, Lena Ann Jäger, Tobias Scheffer

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks.

Paul Prasse, David R. Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer, Lena A. Jäger

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

pymovements: A Python Package for Eye Movement Data Processing.

Daniel G. Krakowczyk, David R. Reich, Jakob Chwastek, Deborah N. Jakobi, Paul Prasse, Assunta Süss, Oleksii Turuta, Pawel Kasprowski, Lena A. Jäger

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.

Daniel G. Krakowczyk, Paul Prasse, David R. Reich, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding.

Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts.

Lena S. Bolliger, David R. Reich, Patrick Haller, Deborah N. Jakobi, Paul Prasse, Lena A. Jäger

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Detection of ADHD Based on Eye Movements During Natural Viewing.

Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Oculomotoric Biometric Identification under the Influence of Alcohol and Fatigue.

Silvia Makowski, Paul Prasse, Lena A. Jäger, Tobias Scheffer

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification.

Daniel Krakowczyk, David R. Reich, Paul Prasse, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger

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.

David R. Reich, Paul Prasse, Chiara Tschirner, Patrick Haller, Frank Goldhammer, Lena A. Jäger

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Fairness in Oculomotoric Biometric Identification.

Paul Prasse, David R. Reich, Silvia Makowski, Lena A. Jäger, Tobias Scheffer

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.

Silvia Makowski, Paul Prasse, David R. Reich, Daniel Krakowczyk, Lena A. Jäger, Tobias Scheffer

IEEE Trans. Biom. Behav. Identity Sci., 2021

Learning Explainable Representations of Malware Behavior.

Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification.

Paul Prasse, Lena A. Jäger, Silvia Makowski, Moritz Feuerpfeil, Tobias Scheffer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Biometric Identification and Presentation-Attack Detection using Micro- and Macro-Movements of the Eyes.

Silvia Makowski, Lena A. Jäger, Paul Prasse, Tobias Scheffer

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019

Joint detection of malicious domains and infected clients.

Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer

Mach. Learn., 2019

Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye.

Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2017

Malware Detection by Analysing Network Traffic with Neural Networks.

Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Malware Detection by Analysing Encrypted Network Traffic with Neural Networks.

Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Pattern recognition for computer security (Mustererkennung für Computersicherheit)

Paul Prasse

PhD thesis, 2016

2015

Learning to identify concise regular expressions that describe email campaigns.

Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

J. Mach. Learn. Res., 2015

2012

Learning to Identify Regular Expressions that Describe Email Campaigns.

Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

Proceedings of the 29th International Conference on Machine Learning, 2012