Publications

Melanie Herschel, Andreas Gienger, Anja P. R. Lauer, Charlotte Stein, Lior Skoury, Nico Lässig, Carsten Ellwein, Alexander Verl, Thomas Wortmann, und 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: myown ipvs-de]

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

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

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

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

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

Nico Lässig. Towards an AutoML System for Fair Classifications. International Conference on Data Engineering (ICDE), 3913--3917, IEEE, 2023. [PUMA: ipvs-de accountability] URL

Kaiping Zheng, Thao Nguyen, Jesslyn Hwei Sing Chong, Charlene Enhui Goh, Melanie Herschel, Hee Hoon Lee, Beng Chin Ooi, Wei Wang, und James Wei Luen Yip. A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset. CoRR, (abs/2301.03829)2023. [PUMA: nus-ha ipvs-de] URL

Thomas Wortmann, Melanie Herschel, Steffen Staab, und Cristina Tarín. AI for AEC: KI für Bauplanung und Bau. Bautechnik, (99)102022. [PUMA: rp9-2 ipvs-de]

Sarah Oppold, und Melanie Herschel. Trust in data engineering: reflection, framework, and evaluation methodology. International Workshop on Data Ecosystems (DEco) - VLDB Workshops, 2022. [PUMA: ipvs-de accountability] URL

Leonardo Gazzarri, und Melanie Herschel. Progressive Entity Resolution over Incremental Data. International Conference on Extending Database Technology (EDBT), 80--91, 2023. [PUMA: intcdc entity-resolution peer rp9-2 ipvs-de] URL

Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, und Beng Chin Ooi. DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. Proceedings of the VLDB Endowment (PVLDB), (15)12:3445--3458, 2022. [PUMA: nus-ha ipvs-de] URL

Nico Lässig, Melanie Herschel, Alexander Reichle, Carsten Ellwein, und Alexander Verl. 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, 2022. [PUMA: intcdc peer ipvs-de rp9] URL

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

Nico Lässig, Sarah Oppold, und Melanie Herschel. Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles. Datenbank-Spektrum, (22)1:23 - 43, 2022. [PUMA: intcdc peer ipvs-de rp9 accountability] URL

Ralf Diestelkämper, und Melanie Herschel. Distributed Tree-Pattern Matching in Big Data Analytics Systems. In Proceedings of the Conference on Advances in Databases and Information Systems (ADBIS), 171-186, Springer, 2020. [PUMA: pebble peerReviewed pn7 ipvs-de from:m.herschel EXC2075]

Ralf Diestelkämper, und Melanie Herschel. Tracing nested data with structural provenance for big data analytics. Proceedings of the International Conference on Extending Database Technology (EDBT), 253-264, 2020. [PUMA: pebble provenance peerReviewed pn7 ipvs-de from:m.herschel EXC2075] URL

Julia Kühnert, Dominik Göddeke, und Melanie Herschel. Provenance-integrated parameter selection and optimization in numerical simulations. International Workshop on the Theory and Practice of Provenance (TAPP), USENIX Association, 2021. [PUMA: peerReviewed pn7 ipvs-de from:m.herschel EXC2075]

Ralf Diestelkämper, Seokki Lee, Melanie Herschel, und Boris Glavic. 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), 2021. [PUMA: pebble why-not peerReviewed pn7 ipvs-de from:m.herschel EXC2075]

Julia Kühnert, Dominik Göddeke, und Melanie Herschel. Provenance-integrated parameter selection and optimization in numerical simulations. International Workshop on the Theory and Practice of Provenance (TAPP), USENIX Association, 2021. [PUMA: peerReviewed pn7 ipvs-de EXC2075] URL