Publications

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: myown intcdc peer rp9-2 peerReviewed ipvs-de accountability]

Nico Lässig, and 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

Sebastian Rigling, Xingyao Yu, and Michael Sedlmair. "In Your Face!": Visualizing Fitness Tracker Data in Augmented Reality. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–7, Association for Computing Machinery, New York, NY, USA, Apr 19, 2023. [PUMA: myown visus:riglinsn intcdc simtech IntCDC visus:sedlmaml visus:yuxo visus exc2075 exc2075(from2019)] URL

Leonardo Gazzarri, and 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

Nico Lässig, Melanie Herschel, Alexander Reichle, Carsten Ellwein, and 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

Alexander Achberger, Frank Heyen, Kresimir Vidackovic, and Michael Sedlmair. Touching data with PropellerHand. Journal of Visualization, 2022. [PUMA: myown intcdc rp4 visus:heyenfk visus:achberar visus:sedlmaml peerreviewed from:frankheyen visus] URL

Nico Lässig, Sarah Oppold, and 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

Nico Lässig, Sarah Oppold, and Melanie Herschel. 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), 2021. [PUMA: intcdc peer ipvs-de rp9 accountability] URL