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Pascal Debus
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 9
Top Topics
Anomaly Detection
Support Vector
Anomalous Behavior
Final Answer
Top Venues
CoRR
QCE
BMVC
GI-Jahrestagung
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Publications
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Nicolas M. Müller
,
Maximilian Burgert
,
Pascal Debus
,
Jennifer Williams
,
Philip Sperl
,
Konstantin Böttinger
Protecting Publicly Available Data With Machine Learning Shortcuts.
CoRR
(2023)
Michael Kölle
,
Afrae Ahouzi
,
Pascal Debus
,
Robert Müller
,
Daniëlle Schuman
,
Claudia Linnhoff-Popien
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements.
CoRR
(2023)
Nicolas M. Müller
,
Maximilian Burgert
,
Pascal Debus
,
Jennifer Williams
,
Philip Sperl
,
Konstantin Böttinger
Protecting Publicly Available Data With Machine Learning Shortcuts.
BMVC
(2023)
Kilian Tscharke
,
Sebastian Issel
,
Pascal Debus
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel.
QCE
(2023)
Kilian Tscharke
,
Sebastian Issel
,
Pascal Debus
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel.
CoRR
(2023)
Karla Markert
,
Afrae Ahouzi
,
Pascal Debus
Fairness in Regression - Analysing a Job Candidates Ranking System.
GI-Jahrestagung
(2022)
Pascal Debus
,
Nicolas M. Müller
,
Konstantin Böttinger
Deep Reinforcement Learning for Backup Strategies against Adversaries.
CoRR
(2021)
Nicolas M. Müller
,
Daniel Kowatsch
,
Pascal Debus
,
Donika Mirdita
,
Konstantin Böttinger
On GDPR Compliance of Companies' Privacy Policies.
TSD
(2019)
Nicolas M. Müller
,
Pascal Debus
,
Daniel Kowatsch
,
Konstantin Böttinger
Distributed Anomaly Detection of Single Mote Attacks in RPL Networks.
ICETE (2)
(2019)