Andreas J. Kassler

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Information Systems — 7 citations into it
• Management Science and Operations Research — 7 citations into it
• Signal Processing — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Andreas J. Kassler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. João Gama
2. W. Hoeffding
3. Gary F. Marcus
4. Gary M. Weiss
5. G. Huang
6. Albert Bifet
7. Jaka Demsar
8. Nick Littlestone

Papers from Andreas J. Kassler's perspective

Ordered by how strongly the researchers Andreas J. Kassler trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning with Drift Detection
2. Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
3. Learning from Time-Changing Data with Adaptive Windowing (SDM)
4. Detecting Change in Data Streams
5. A streaming ensemble algorithm (SEA) for large-scale classification (Knowledge Discovery and Data Mining)
6. Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
7. Learning in Nonstationary Environments: A Survey
8. Dataset Shift in Machine Learning
9. Incremental Learning of Concept Drift in Nonstationary Environments (IEEE Transactions on Neural Networks)
10. Extreme learning machine: Theory and applications

Their papers

• From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors (2022) — 366 citations