A Wearable Sensor System for Lameness Detection in Dairy Cattle. - Juan Haladjian; Johannes Haug; Stefan Nüske; Bernd Bruegge (Multimodal Technol. Interact., 2018)

CancelOut: A Layer for Feature Selection in Deep Neural Networks. - Vadim Borisov; Johannes Haug; Gjergji Kasneci (ICANN (2), 2019)

Towards User Empowerment. - Martin Pawelczyk; Johannes Haug; Klaus Broelemann; Gjergji Kasneci (CoRR, 2019)

Learning Parameter Distributions to Detect Concept Drift in Data Streams. - Johannes Haug; Gjergji Kasneci (ICPR, 2020)

Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. - Johannes Haug; Martin Pawelczyk; Klaus Broelemann; Gjergji Kasneci (KDD, 2020)

On Baselines for Local Feature Attributions. - Johannes Haug; Stefan Zürn; Peter El-Jiz; Gjergji Kasneci (CoRR, 2021)

Change Detection for Local Explainability in Evolving Data Streams. - Johannes Haug; Alexander Braun; Stefan Zürn; Gjergji Kasneci (CIKM, 2022)

Dynamic Model Tree for Interpretable Data Stream Learning. - Johannes Haug; Klaus Broelemann; Gjergji Kasneci (ICDE, 2022)

Standardized Evaluation of Machine Learning Methods for Evolving Data Streams. - Johannes Haug; Effi Tramountani; Gjergji Kasneci (CoRR, 2022)

Towards Reliable Machine Learning in Evolving Data Streams. - Johannes Haug (2022)

Deep Neural Networks and Tabular Data: A Survey. - Vadim Borisov; Tobias Leemann; Kathrin Seßler; Johannes Haug; Martin Pawelczyk; Gjergji Kasneci (IEEE Trans. Neural Networks Learn. Syst., 2024)