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Felix Neutatz
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2020 – today
- 2024
- [j5]Felix Neutatz, Marius Lindauer, Ziawasch Abedjan:
AutoML in heavily constrained applications. VLDB J. 33(4): 957-979 (2024) - 2023
- [i2]Felix Neutatz, Marius Lindauer, Ziawasch Abedjan:
AutoML in Heavily Constrained Applications. CoRR abs/2306.16913 (2023) - 2022
- [j4]Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan:
Data Cleaning and AutoML: Would an Optimizer Choose to Clean? Datenbank-Spektrum 22(2): 121-130 (2022) - 2021
- [j3]Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu:
From Cleaning before ML to Cleaning for ML. IEEE Data Eng. Bull. 44(1): 24-41 (2021) - [j2]Ricardo Salazar, Felix Neutatz, Ziawasch Abedjan:
Automated Feature Engineering for Algorithmic Fairness. Proc. VLDB Endow. 14(9): 1694-1702 (2021) - [c4]Felix Neutatz, Felix Biessmann, Ziawasch Abedjan:
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. SIGMOD Conference 2021: 1345-1358 - 2020
- [j1]Ziawasch Abedjan, Hagen Anuth, Mahdi Esmailoghli, Mohammad Mahdavi, Felix Neutatz, Binger Chen:
Data Science für alle: Grundlagen der Datenprogrammierung. Inform. Spektrum 43(2): 129-136 (2020)
2010 – 2019
- 2019
- [c3]Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan:
ED2: A Case for Active Learning in Error Detection. CIKM 2019: 2249-2252 - [c2]Mohammad Mahdavi, Felix Neutatz, Larysa Visengeriyeva, Ziawasch Abedjan:
Towards Automated Data Cleaning Workflows. LWDA 2019: 10-19 - [i1]Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan:
ED2: Two-stage Active Learning for Error Detection - Technical Report. CoRR abs/1908.06309 (2019) - 2015
- [c1]David Suendermann-Oeft, Vikram Ramanarayanan, Moritz Teckenbrock, Felix Neutatz, Dennis Schmidt:
HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook. IWSDS 2015: 53-61
Coauthor Index
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