Jonathan Jakob

According to our database1, Jonathan Jakob authored at least 9 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Incremental Learning in Regression Contexts.
PhD thesis, 2024

2023
Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.
Appl. Artif. Intell., December, 2023

Incremental Human Gait Prediction without Catastrophic Forgetting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Reject Options for Incremental Regression Scenarios.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

SAM-kNN Regressor for Online Learning in Water Distribution Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
On the suitability of incremental learning for regression tasks in exoskeleton control.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information.
Neurocomputing, 2020

Analysis of Drifting Features.
CoRR, 2020

2019
Feature relevance bounds for ordinal regression.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019


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