Jonathan Jakob

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Incremental Learning in Regression Contexts.

Jonathan Jakob

PhD thesis, 2024

2023

Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.

Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer

Appl. Artif. Intell., December, 2023

Incremental Human Gait Prediction without Catastrophic Forgetting.

Jonathan Jakob, Martina Hasenjäger, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Reject Options for Incremental Regression Scenarios.

Jonathan Jakob, Martina Hasenjäger, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

SAM-kNN Regressor for Online Learning in Water Distribution Networks.

Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer

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.

Jonathan Jakob, Martina Hasenjäger, Barbara Hammer

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.

Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer

Neurocomputing, 2020

Analysis of Drifting Features.

Fabian Hinder, Jonathan Jakob, Barbara Hammer

CoRR, 2020

2019

Feature relevance bounds for ordinal regression.

Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019