Johannes Haug

According to our database1, Johannes Haug authored at least 11 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Towards Reliable Machine Learning in Evolving Data Streams.
PhD thesis, 2022

Standardized Evaluation of Machine Learning Methods for Evolving Data Streams.
CoRR, 2022

Dynamic Model Tree for Interpretable Data Stream Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Change Detection for Local Explainability in Evolving Data Streams.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Deep Neural Networks and Tabular Data: A Survey.
CoRR, 2021

On Baselines for Local Feature Attributions.
CoRR, 2021

2020
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning Parameter Distributions to Detect Concept Drift in Data Streams.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Towards User Empowerment.
CoRR, 2019

CancelOut: A Layer for Feature Selection in Deep Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
A Wearable Sensor System for Lameness Detection in Dairy Cattle.
Multimodal Technol. Interact., 2018


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