Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. - Julian Tritscher; Markus Ring; Daniel Schlör; Lena Hettinger; Andreas Hotho (ISMIS, 2020)

Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels. - Konstantin Kobs; Albin Zehe; Armin Bernstetter; Julian Chibane; Jan Pfister; Julian Tritscher; Andreas Hotho (ACM Trans. Soc. Comput., 2020)

A financial game with opportunities for fraud. - Julian Tritscher; Anna Krause; Daniel Schlör; Fabian Gwinner; Sebastian von Mammen; Andreas Hotho (CoG, 2021)

Towards Explainable Occupational Fraud Detection. - Julian Tritscher; Daniel Schlör; Fabian Gwinner; Anna Krause; Andreas Hotho (PKDD/ECML Workshops (2), 2022)

Open ERP System Data For Occupational Fraud Detection. - Julian Tritscher; Fabian Gwinner; Daniel Schlör; Anna Krause; Andreas Hotho (CoRR, 2022)

Occupational Fraud Detection Through Agent-Based Data Generation. - Julian Tritscher; Alexander Roos; Daniel Schlör; Andreas Hotho; Anna Krause (PKDD/ECML Workshops (5), 2023)

Evaluating Feature Relevance XAI in Network Intrusion Detection. - Julian Tritscher; Maximilian Wolf; Andreas Hotho; Daniel Schlör (xAI (1), 2023)

Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. - Julian Tritscher; Anna Krause; Andreas Hotho (Frontiers Artif. Intell., 2023)

Data Generation for Explainable Occupational Fraud Detection. - Julian Tritscher; Maximilian Wolf; Anna Krause; Andreas Hotho; Daniel Schlör (KI, 2024)

Generative Inpainting for Shapley-Value-Based Anomaly Explanation. - Julian Tritscher; Philip Lissmann; Maximilian Wolf; Anna Krause; Andreas Hotho; Daniel Schlör (xAI (1), 2024)

Benchmarking of synthetic network data: Reviewing challenges and approaches. - Maximilian Wolf; Julian Tritscher; Dieter Landes; Andreas Hotho; Daniel Schlör (Comput. Secur., 2024)