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pro vyhledávání: '"Prasse, Paul"'
Autor:
Deng, Shuwen, Reich, David R., Prasse, Paul, Haller, Patrick, Scheffer, Tobias, Jäger, Lena A.
Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in reading have attracted increasing attention across fields, ranging from
Externí odkaz:
http://arxiv.org/abs/2304.10784
Autor:
Krakowczyk, Daniel G., Prasse, Paul, Reich, David R., Lapuschkin, Sebastian, Scheffer, Tobias, Jäger, Lena A.
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotric biometric identification. These methods provide saliency maps to hi
Externí odkaz:
http://arxiv.org/abs/2304.13536
We address the problems of identifying malware in network telemetry logs and providing \emph{indicators of compromise} -- comprehensible explanations of behavioral patterns that identify the threat. In our system, an array of specialized detectors ab
Externí odkaz:
http://arxiv.org/abs/2106.12328
Detection of malware-infected computers and detection of malicious web domains based on their encrypted HTTPS traffic are challenging problems, because only addresses, timestamps, and data volumes are observable. The detection problems are coupled, b
Externí odkaz:
http://arxiv.org/abs/1906.09084
Autor:
Jäger, Lena A., Makowski, Silvia, Prasse, Paul, Liehr, Sascha, Seidler, Maximilian, Scheffer, Tobias
Publikováno v:
In: U. Brefeld et al. (Eds.): Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, LNCS 11907, pp. 299-314, Springer Nature, Switzerland, 2020
We study involuntary micro-movements of the eye for biometric identification. While prior studies extract lower-frequency macro-movements from the output of video-based eye-tracking systems and engineer explicit features of these macro-movements, we
Externí odkaz:
http://arxiv.org/abs/1906.11889
Autor:
J��ger, Lena A., Makowski, Silvia, Prasse, Paul, Liehr, Sascha, Seidler, Maximilian, Scheffer, Tobias
We study involuntary micro-movements of the eye for biometric identification. While prior studies extract lower-frequency macro-movements from the output of video-based eye-tracking systems and engineer explicit features of these macro-movements, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92f32a816b51ef13f361a9f66968666
http://arxiv.org/abs/1906.11889
http://arxiv.org/abs/1906.11889