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2020 – today
- 2024
[c6]Melanie Herschel
, Andreas Gienger, Anja Patricia Regina Lauer, Charlotte Stein, Lior Skoury, Nico Lässig, Carsten Ellwein, Alexander Verl, Thomas Wortmann, Cristina Tarín-Sauer:
Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. DaWaK 2024: 253-268- [c5]Nico Lässig, Melanie Herschel:
FALCC: Efficiently performing locally fair and accurate classifications. EDBT 2024: 208-220 - [c4]Nico Lässig, Melanie Herschel, Ole Nies:
FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms. ICDE 2024: 5473-5476 - 2023
- [c3]Nico Lässig:
Towards an AutoML System for Fair Classifications∗. ICDE 2023: 3913-3917 - 2022
- [j1]Nico Lässig, Sarah Oppold, Melanie Herschel:
Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles. Datenbank-Spektrum 22(1): 23-43 (2022) - [c2]Nico Lässig, Melanie Herschel, Alexander Reichle, Carsten Ellwein, Alexander Verl:
The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry. CAiSE Forum 2022: 45-54 - 2021
- [c1]Nico Lässig, Sarah Oppold, Melanie Herschel:
Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles. BTW 2021: 155-174
Coauthor Index
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