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2004.00438
Cited By

Handling Concept Drifts in Regression Problems -- the Error Intersection
Approach

Handling Concept Drifts in Regression Problems -- the Error Intersection Approach

Wirtschaftsinformatik (WI), 2020

1 April 2020

Niklas Kühl

ArXiv (abs)PDF HTML

Papers citing "Handling Concept Drifts in Regression Problems -- the Error Intersection Approach"

6 / 6 papers shown

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting

169

0

0

10 Nov 2025

OEBench: Investigating Open Environment Challenges in Real-World
Relational Data Streams

OEBench: Investigating Open Environment Challenges in Real-World Relational Data StreamsProceedings of the VLDB Endowment (PVLDB), 2023

347

4

0

29 Aug 2023

Handling Concept Drift in Global Time Series Forecasting

Handling Concept Drift in Global Time Series Forecasting

Rakshitha Godahewa

Christoph Bergmeir

262

16

0

04 Apr 2023

Towards Meaningful Anomaly Detection: The Effect of Counterfactual
Explanations on the Investigation of Anomalies in Multivariate Time Series

Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series

Joshua Holstein

Niklas Kühl

213

2

0

07 Feb 2023

Explaining Inference Queries with Bayesian Optimization

Explaining Inference Queries with Bayesian OptimizationProceedings of the VLDB Endowment (PVLDB), 2021

Brandon Lockhart

216

9

0

10 Feb 2021

Switching Scheme: A Novel Approach for Handling Incremental Concept
Drift in Real-World Data Sets

Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets

Vincent Kellner

Niklas Kühl

87

7

0

05 Nov 2020

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