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Julian Tritscher
Julian Tritscher
在 informatik.uni-wuerzburg.de 的电子邮件经过验证 - 首页
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Emote-controlled: Obtaining implicit viewer feedback through emote-based sentiment analysis on comments of popular twitch. tv channels
K Kobs, A Zehe, A Bernstetter, J Chibane, J Pfister, J Tritscher, A Hotho
ACM Transactions on Social Computing 3 (2), 1-34, 2020
452020
Evaluation of post-hoc XAI approaches through synthetic tabular data
J Tritscher, M Ring, D Schlr, L Hettinger, A Hotho
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020
322020
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges
J Tritscher, A Krause, A Hotho
Frontiers in Artificial Intelligence 6, 1099521, 2023
182023
Towards explainable occupational fraud detection
J Tritscher, D Schlör, F Gwinner, A Krause, A Hotho
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
62022
Evaluating feature relevance XAI in network intrusion detection
J Tritscher, M Wolf, A Hotho, D Schlör
World Conference on Explainable Artificial Intelligence, 483-497, 2023
42023
Open ERP system data for occupational fraud detection
J Tritscher, F Gwinner, D Schlör, A Krause, A Hotho
arXiv preprint arXiv:2206.04460, 2022
42022
A financial game with opportunities for fraud
J Tritscher, A Krause, D Schlör, F Gwinner, S Von Mammen, A Hotho
2021 IEEE Conference on Games (CoG), 1-5, 2021
32021
Benchmarking of synthetic network data: Reviewing challenges and approaches
M Wolf, J Tritscher, D Landes, A Hotho, D Schlör
Computers & Security, 103993, 2024
12024
Data Generation for Explainable Occupational Fraud Detection
J Tritscher, M Wolf, A Krause, A Hotho, D Schlör
German Conference on Artificial Intelligence (Künstliche Intelligenz), 246-259, 2024
2024
Generative Inpainting for Shapley-Value-Based Anomaly Explanation
J Tritscher, P Lissmann, M Wolf, A Krause, A Hotho, D Schlör
World Conference on Explainable Artificial Intelligence, 230-243, 2024
2024
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