Julian Tritscher

According to our database1, Julian Tritscher authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Benchmarking of synthetic network data: Reviewing challenges and approaches.
Comput. Secur., 2024

Generative Inpainting for Shapley-Value-Based Anomaly Explanation.
Proceedings of the Explainable Artificial Intelligence, 2024

Data Generation for Explainable Occupational Fraud Detection.
Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges.
Frontiers Artif. Intell., February, 2023

Evaluating Feature Relevance XAI in Network Intrusion Detection.
Proceedings of the Explainable Artificial Intelligence, 2023

2022
Open ERP System Data For Occupational Fraud Detection.
CoRR, 2022

Towards Explainable Occupational Fraud Detection.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021
A financial game with opportunities for fraud.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels.
ACM Trans. Soc. Comput., 2020

Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020


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