Forschungsinteressen

Data Quality Monitoring
Interpretable Machine Learning
Open Set Recognition
Large Language Models

Lebenslauf

11/2020 - heute	Wissenschaftlicher Mitarbeiter am Karlsruher Institut für Technologie, Karlsruhe
10/2020 - 2025	Wissenschaftlicher Mitarbeiter am FZI Forschungszentrum Informatik, Karlsruhe
06/2020 - 10/2020	Hilfswissenschaftliche Tätigkeit am FZI Forschungszentrum Informatik, Karlsruhe
10/2017 - 06/2020	M.Sc. Wirtschaftsingenieurwesen am Karlsruher Institut für Technologie, Karlsruhe
06/2018 - 06/2019	Hilfswissenschaftliche Tätigkeit am FZI Forschungszentrum Informatik, Karlsruhe
09/2017 - 03/2018	Praktikum in der Logistikabteilung bei der Tchibo GmbH, Hamburg
02/2016 - 01/2017	Auslandsstudium an der Universidad Técnica Federico Santa María, Valparaíso (Chile)
10/2013 - 08/2017	B.Sc. Wirtschaftsingenieurwesen am Karlsruher Institut für Technologie, Karlsruhe

Publikationen

Finding the needle in the haystack—An interpretable sequential pattern mining method for classification problems
Grote, A.; Hariharan, A.; Weinhardt, C.
2025. Frontiers in Big Data, 8, Art.-Nr.: 1604887. doi:10.3389/fdata.2025.1604887

The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification
Grote, A.; Badewitz, W.; Knierim, M. T.; Weinhardt, C.
2024. Proceedings of the 57th Annual Hawaii International Conference on System Sciences : Hilton Hawaiian Village Waikiki Beach Resort, January 3-6, 2024. Ed.: T. Bui, IEEE Computer Society. doi:10.24251/HICSS.2024.130

How good are you? An empirical classification performance comparison of large language models with traditional open set recognition classifiers [short paper]
Grote, A.; Hariharan, A.; Knierim, M. T.; Weinhardt, C.
2024. 16th ZEUS Workshop, Ulm 2024, 29.02. - 01.03.2024, 27–32, RWTH Aachen

NeMig - A Bilingual News Collection and Knowledge Graph about Migration
Iana, A.; Alam, M.; Grote, A.; Nikolajevic, N.; Ludwig, K.; Müller, P.; Weinhardt, C.; Paulheim, H.
2023. Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), CEUR-WS

Time-Aware Data Profiling With Decision Tree Pattern Mining
Grote, A.; Badwitz, W.; Knierim, M. T.; Weinhardt, C.
2023. 2023 IEEE 25th Conference on Business Informatics (CBI), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI58679.2023.10187535

Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
Alam, M.; Iana, A.; Grote, A.; Ludwig, K.; Müller, P.; Paulheim, H.
2022. Companion Proceedings of the Web Conference 2022 : WWW’22, Lyon, France, 25-29 April 2022. Ed.: Frédérique Laforest, 448–457, Association for Computing Machinery (ACM). doi:10.1145/3487553.3524674

Divided by the Algorithm? The (limited) effects of content- and sentiment-based news recommendation on affective, ideological, and perceived polarization
Ludwig, K.; Grote, A.; Iana, A.; Alam, M.; Paulheim, H.; Sack, H.; Weinhardt, C.; Müller, P.
2023. Social Science Computer Review, 41 (6), 2188–2210. doi:10.1177/08944393221149290