HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook. - David Suendermann-Oeft; Vikram Ramanarayanan; Moritz Teckenbrock; Felix Neutatz; Dennis Schmidt (IWSDS, 2015)

ED2: A Case for Active Learning in Error Detection. - Felix Neutatz; Mohammad Mahdavi; Ziawasch Abedjan (CIKM, 2019)

Towards Automated Data Cleaning Workflows. - Mohammad Mahdavi; Felix Neutatz; Larysa Visengeriyeva; Ziawasch Abedjan (LWDA, 2019)

ED2: Two-stage Active Learning for Error Detection - Technical Report. - Felix Neutatz; Mohammad Mahdavi; Ziawasch Abedjan (CoRR, 2019)

Data Science für alle: Grundlagen der Datenprogrammierung. - Ziawasch Abedjan; Hagen Anuth; Mahdi Esmailoghli; Mohammad Mahdavi; Felix Neutatz; Binger Chen (Inform. Spektrum, 2020)

Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. - Felix Neutatz; Felix Biessmann; Ziawasch Abedjan (SIGMOD Conference, 2021)

From Cleaning before ML to Cleaning for ML. - Felix Neutatz; Binger Chen; Ziawasch Abedjan; Eugene Wu 002 (IEEE Data Eng. Bull., 2021)

Automated Feature Engineering for Algorithmic Fairness. - Ricardo Salazar; Felix Neutatz; Ziawasch Abedjan (Proc. VLDB Endow., 2021)

Data Cleaning and AutoML: Would an Optimizer Choose to Clean? - Felix Neutatz; Binger Chen; Yazan Alkhatib; Jingwen Ye; Ziawasch Abedjan (Datenbank-Spektrum, 2022)

AutoML in heavily constrained applications. - Felix Neutatz; Marius Lindauer; Ziawasch Abedjan (VLDB J., 2024)

How Green is AutoML for Tabular Data? - Felix Neutatz; Marius Lindauer; Ziawasch Abedjan (EDBT, 2025)