Johannes Haug

16 papers A* 2A 1B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Deep Neural Networks and Tabular Data: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
2022 A conf
Change Detection for Local Explainability in Evolving Data Streams.
CIKM
Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
2022 J jnl
Change Detection for Local Explainability in Evolving Data Streams.
CoRR
Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
2022 A* conf
Dynamic Model Tree for Interpretable Data Stream Learning.
ICDE
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2022 J jnl
Dynamic Model Tree for Interpretable Data Stream Learning.
CoRR
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2022 J jnl
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams.
CoRR
Johannes Haug, Effi Tramountani, Gjergji Kasneci
2022 — —
Towards Reliable Machine Learning in Evolving Data Streams.
Johannes Haug
2021 J jnl
Deep Neural Networks and Tabular Data: A Survey.
CoRR
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
2021 J jnl
On Baselines for Local Feature Attributions.
CoRR
Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci
2020 B conf
Learning Parameter Distributions to Detect Concept Drift in Data Streams.
ICPR
Johannes Haug, Gjergji Kasneci
2020 J jnl
Learning Parameter Distributions to Detect Concept Drift in Data Streams.
CoRR
Johannes Haug, Gjergji Kasneci
2020 A* conf
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection.
KDD
Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020 J jnl
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection.
CoRR
Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2019 — conf
CancelOut: A Layer for Feature Selection in Deep Neural Networks.
ICANN (2)
Vadim Borisov, Johannes Haug, Gjergji Kasneci
2019 J jnl
Towards User Empowerment.
CoRR
Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2018 J jnl
A Wearable Sensor System for Lameness Detection in Dairy Cattle.
Multimodal Technol. Interact.
Juan Haladjian, Johannes Haug, Stefan Nüske, Bernd Bruegge