Talel Abdessalem

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Information Systems — 11 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Signal Processing — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Talel Abdessalem trusts overall

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

1. Albert Bifet

Papers from Talel Abdessalem's perspective

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

1. Bagging Predictors
2. Random Forests
3. Mining high-speed data streams
4. Statistical Comparisons of Classifiers over Multiple Data Sets
5. A decision-theoretic generalization of on-line learning and an application to boosting
6. Experiments with a New Boosting Algorithm
7. New ensemble methods for evolving data streams
8. A streaming ensemble algorithm (SEA) for large-scale classification (Knowledge Discovery and Data Mining)
9. Dynamic weighted majority: a new ensemble method for tracking concept drift (Third IEEE International Conference on Data Mining)
10. Leveraging Bagging for Evolving Data Streams (ECML/PKDD)

Their papers

• River: machine learning for streaming data in Python (2020) — 313 citations
• Scikit-Multiflow: A Multi-output Streaming Framework (2018) — 349 citations
• Adaptive random forests for evolving data stream classification (2017) — 763 citations