Jonathan Jakob

12 papers B 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`—`	Incremental Learning in Regression Contexts. Jonathan Jakob
2023	—	`conf`	Incremental Human Gait Prediction without Catastrophic Forgetting. SSCI Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
2023	J	`jnl`	Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Appl. Artif. Intell. Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2022	—	`conf`	Reject Options for Incremental Regression Scenarios. ICANN (4) Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
2022	—	`conf`	SAM-kNN Regressor for Online Learning in Water Distribution Networks. ICANN (3) Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2022	J	`jnl`	SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2021	—	`conf`	On the suitability of incremental learning for regression tasks in exoskeleton control. SSCI Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
2020	J	`jnl`	Analysis of Drifting Features. CoRR Fabian Hinder, Jonathan Jakob, Barbara Hammer
2020	J	`jnl`	Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
2019	J	`jnl`	Feature Relevance Bounds for Ordinal Regression. CoRR Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer
2019	J	`jnl`	Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. CoRR Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
2019	B	`conf`	Feature relevance bounds for ordinal regression. ESANN Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer