This page is still under construction and is missing publications preceding 2020. You can access full lists of my publications via DBLP or Google Scholar.
2024
Meißner, J., Göddeke, D., & Herschel, M. (2024). Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD).
Lässig, N., & Herschel, M. (2024). FALCC: Efficiently performing locally fair and accurate classifications. International Conference on Extending Database Technology (EDBT).
Zheng, K., Chua, H.-R., Herschel, M., Jagadish, H. V., Ooi, B. C., & Wei Luen Yip, J. (2024). Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. International Conference on Machine Learning (ICML).
Herschel, M., Gienger, A., Lauer, A. P. R., Stein, C., Skoury, L., Lässig, N., Ellwein, C., Verl, A., Wortmann, T., & Tarin Sauer, C. (2024). Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. International Conference on Big Data Analytics and Knowledge Discovery (DAWAK).
Lässig, N., Nies, O., & Herschel, M. (2024). FairCR – An Evaluation and Recommendation System for Fair Classification Algorithms. Proceedings of the International Conference on Data Engineering (ICDE).
Flemisch, B., Hermann, S., Herschel, M., Pflüger, D., Pleiss, J., Range, J., Roy, S., Takamoto, M., & Uekermann, B. (2024). Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. Datenbank-Spektrum.
2023
Zheng, K., Nguyen, T., Chong, J. H. S., Goh, C. E., Herschel, M., Lee, H. H., Ooi, B. C., Wang, W., & Yip, J. W. L. (2023). A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset. CoRR, abs/2301.03829.
Gazzarri, L., & Herschel, M. (2023). Progressive Entity Resolution over Incremental Data. International Conference on Extending Database Technology (EDBT), 80–91.
2022
Zheng, K., Cai, S., Chua, H. R., Herschel, M., Zhang, M., & Ooi, B. C. (2022). DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. Proceedings of the VLDB Endowment (PVLDB), 15(12).
Oppold, S., & Herschel, M. (2022). Trust in data engineering: reflection, framework, and evaluation methodology. International Workshop on Data Ecosystems (DEco) – VLDB Workshops.
Oppold, S., & Herschel, M. (2022). Provenance-based explanations: are they useful? International Workshop on the Theory and Practice of Provenance (TAPP), 2:1–2:4.
Lässig, N., Oppold, S., & Herschel, M. (2022). Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles. Datenbank-Spektrum, 22(1), Article 1.
Lässig, N., Herschel, M., Reichle, A., Ellwein, C., & Verl, A. (2022). The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry. Intelligent Information Systems – Forum, International Conference on Advanced Information Systems Engineering (CAiSE), 45–54.
Wortmann, T., Herschel, M., Staab, S., & Tarín, C. (2022). AI for AEC: KI für Bauplanung und Bau. Bautechnik, 99(10), Article 10.
2021
Diestelkämper, R., Lee, S., Herschel, M., & Glavic, B. (2021). To not miss the forest for the trees – A holistic approach for explaining missing answers over nested data. In Proceedins of the ACM SIG Conference on the Management of Data (SIGMOD) (SIGMOD).
Gazzarri, L., & Herschel, M. (2021). End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data. Proceedings of the IEEE International Conference on Data Engineering (ICDE).
Diestelkamper, R., Lee, S., Glavic, B., & Herschel, M. (2021). Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb. Proceedings of the VLDB Endowment (PVLDB).
Ellwein, C., Reichle, A., Herschel, M., & Verl, A. (2021). Integrative data processing for cyber-physical off-site and on-site construction promoting co-design. Procedia CIRP, 100, 451–456.
Lässig, N., Oppold, S., & Herschel, M. (2021). Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles. In Proceedings of Database Systems for Business, Technology, and Web (BTW).
Zheng, K., Chen, G., Herschel, M., Ngiam, K. Y., Ooi, B. C., & Gao, J. (2021). PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. In Proceedings of the ACM SIG Conference on the Management of Data (SIGMOD).
Kühnert, J., Göddeke, D., & Herschel, M. (2021). Provenance-integrated parameter selection and optimization in numerical simulations. International Workshop on the Theory and Practice of Provenance (TAPP)
Ben Lahmar, H., & Herschel, M. (2021). Collaborative filtering over evolution provenance data for interactive visual data exploration. Information Systems, 95, 101620.
2020
Gazzarri, L., & Herschel, M. (2020). Towards task-based parallelization for entity resolution. SICS Software-Intensive Cyber-Physical Systems, 35(1), Article 1.
Diestelkämper, R., & Herschel, M. (2020). Tracing nested data with structural provenance for big data analytics. Proceedings of the International Conference on Extending Database Technology (EDBT), 253–264.
Oppold, S., & Herschel, M. (2020). A System Framework for Personalized and Transparent Data-Driven Decisions. Proceedings of the International Conference on Advanced Information Systems Engineering (CAiSE), 153–168.
Gazzarri, L., & Herschel, M. (2020). Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters. Proceedings of the International Conference on Extending Database Technology (EDBT), 419-422.
Diestelkämper, R., & Herschel, M. (2020). Distributed Tree-Pattern Matching in Big Data Analytics Systems. In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS), 171–186.
Oppold, S., & Herschel, M. (2020). Accountable Data Analytics Start with Accountable Data: The LiQuID Metadata Model. ER Forum, Demo and Posters 2020 Co-Located with International Conference on Conceptual Modeling (ER), 59–72.