Expertise

  • Computer Science

    • SHapley Additive exPlanation
    • Explainable Artificial Intelligence
    • Cyber Physical Systems
    • Learning System
    • Machine Learning
    • Warning System
    • Machine Learning Model
    • Visual Characteristic

Organisations

Publications

2025

C-SHAP for Time Series: An Approach to High-Level Temporal Explanations (2025)[Contribution to conference › Poster] EXPLAINS 2025. Jutte, A., Ahmed, F., Linssen, J. & van Keulen, M.C-SHAP for time series: An approach to high-level temporal explanations (2025)[Working paper › Preprint]. ArXiv.org. Jutte, A., Ahmed, F., Linssen, J. & van Keulen, M.https://doi.org/10.48550/ARXIV.2504.11159How do cyclists experience a context-aware prototype warning system?: Assessing perceived safety, perception and riding behaviour changes through a field study (2025)Journal of Cycling and Micromobility Research, 3. Article 100051. Kapousizis, G., Jutte, A., Ulak, M. B. & Geurs, K.https://doi.org/10.1016/j.jcmr.2024.100051

2024

Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand? (2024)Machine Learning and Knowledge Extraction, 6(3), 1997-2017. van Mourik, F., Jutte, A., Berendse, S. E., Bukhsh, F. A. & Ahmed, F.https://doi.org/10.3390/make6030098Explainable MLOps: A Methodological Framework for the Development of Explainable AI in Practice (2024)In xAI-2024 Late-breaking Work, Demos and Doctoral Consortium Joint Proceedings (pp. 385-392) (CEUR Workshop Proceedings). Jutte, A.https://ceur-ws.org/Vol-3793/

2022

This Looks Like That, Because.. Explaining Prototypes for Interpretable Image Recognition (2022)In Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings (pp. 441-456) (Communications in Computer and Information Science; Vol. 1524 CCIS). Springer. Nauta, M., Jutte, A., Provoost, J. & Seifert, C.https://doi.org/10.1007/978-3-030-93736-2_34

Research profiles

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