Bestoun S. Ahmed

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 Bestoun S. Ahmed 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
9. Haixun Wang
10. Nan-Ying Liang

Papers from Bestoun S. Ahmed's perspective

Ordered by how strongly the researchers Bestoun S. Ahmed 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. Dataset Shift in Machine Learning
8. Learning in Nonstationary Environments: A Survey
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Incremental Learning of Concept Drift in Nonstationary Environments (IEEE Transactions on Neural Networks)

Their papers

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