Johannes Haug

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 14

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Publications

Johannes Haug, Effi Tramountani, Gjergji Kasneci
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams. CoRR (2022)
Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
Change Detection for Local Explainability in Evolving Data Streams. CoRR (2022)
Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
Change Detection for Local Explainability in Evolving Data Streams. CIKM (2022)
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Dynamic Model Tree for Interpretable Data Stream Learning. ICDE (2022)
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Dynamic Model Tree for Interpretable Data Stream Learning. CoRR (2022)
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
Deep Neural Networks and Tabular Data: A Survey. CoRR (2021)
Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci
On Baselines for Local Feature Attributions. CoRR (2021)
Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. CoRR (2020)
Johannes Haug, Gjergji Kasneci
Learning Parameter Distributions to Detect Concept Drift in Data Streams. CoRR (2020)
Johannes Haug, Gjergji Kasneci
Learning Parameter Distributions to Detect Concept Drift in Data Streams. ICPR (2020)
Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. KDD (2020)
Vadim Borisov, Johannes Haug, Gjergji Kasneci
CancelOut: A Layer for Feature Selection in Deep Neural Networks. ICANN (2) (2019)
Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Towards User Empowerment. CoRR (2019)
Juan Haladjian, Johannes Haug, Stefan Nüske, Bernd Bruegge
A Wearable Sensor System for Lameness Detection in Dairy Cattle. Multimodal Technol. Interact. 2 (2) (2018)