Personal profile
Education/Academic qualification
Management and Data Science, PhD, PhD Research, Max-Planck Institute for Informatics
External positions
Honorary Professor, University of Tübingen
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
Dhaini, M., Vladika, J., Erdogan, E., Attaoui, Z. & Kasneci, G., 2026, Artificial Neural Networks and Machine Learning – ICANN 2025 - 34th International Conference on Artificial Neural Networks, Proceedings. Senn, W., Sanguineti, M., Saudargiene, A., Tetko, I. V., Villa, A. E. P., Jirsa, V. & Bengio, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 192-204 13 p. (Lecture Notes in Computer Science; vol. 16070 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
COunterfactual Reasoning for Temporal EXplanations: Plausible and Robust Explanations for EEG-Based Seizure Detection
Zannotti, M., Prenkaj, B., Piangerelli, M., Corradini, F. & Kasneci, G., 2026, In: Transactions on Machine Learning Research. 2026-MarchResearch output: Contribution to journal › Article › peer-review
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Structured Universal Adversarial Attacks on Object Detection for Video Sequences
Jacob, S., Shao, W. & Kasneci, G., 2026, Pattern Recognition - 47th DAGM German Conference, DAGM GCPR 2025, Proceedings. Keuper, M. & Locatello, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 171-185 15 p. (Lecture Notes in Computer Science; vol. 16125 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes
Prenkaj, B., Villaizán-Vallelado, M., Leemann, T. & Kasneci, G., 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Revised Selected Papers. Meo, R. & Silvestri, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 325-337 13 p. (Communications in Computer and Information Science; vol. 2133 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
Kraft, S., Wienhausen-Wilke, V., Walter, P., Kasneci, G. & Lensch, H., 2025, In: Proceedings of Machine Learning Research. 287Research output: Contribution to journal › Conference article › peer-review