Publications

Melanie Herschel, Andreas Gienger, Anja P. R. Lauer, Charlotte Stein, Lior Skoury, Nico Lässig, Carsten Ellwein, Alexander Verl, Thomas Wortmann, and Cristina Tarin Sauer. 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), 2024. [PUMA: ipvs-de myown]

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, and James Wei Luen Yip. Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. International Conference on Machine Learning (ICML), 2024. [PUMA: ipvs-de myown nus-ha]

Bernd Flemisch, Sibylle Hermann, Melanie Herschel, Dirk Pflüger, Jürgen Pleiss, Jan Range, Sarbani Roy, Makoto Takamoto, and Benjamin Uekermann. Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. Datenbank-Spektrum, 2024. [PUMA: ipvs-de myown]

Julia Meißner, Dominik Göddeke, and Melanie Herschel. Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024. [PUMA: ipvs-de myown]

Nico Lässig, Ole Nies, and Melanie Herschel. FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms. Proceedings of the International Conference on Data Engineering (ICDE), 2024. [PUMA: accountability intcdc ipvs-de myown peer peerReviewed rp9-2]

Nico Lässig, and Melanie Herschel. FALCC: Efficiently performing locally fair and accurate classifications. International Conference on Extending Database Technology (EDBT), OpenProceedings, 2024. [PUMA: accountability intcdc ipvs-de myown peer peerReviewed rp9-2] URL

Sarah Oppold, and Melanie Herschel. Provenance-based explanations: are they useful?. International Workshop on the Theory and Practice of Provenance (TAPP), 2:1--2:4, 2022. [PUMA: EXC2075 accountability ipvs-de myown peerReviewed pn7] URL