Loong Kuan Lee
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Loong Kuan Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Indrė Žliobaitė
- João Gama
- Hai-Long Nguyen
- Daniel Kifer
- Mohamed Medhat Gaber
- David A. Levin
- Gregory Ditzler
Papers from Loong Kuan Lee's perspective
Ordered by how strongly the researchers Loong Kuan Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Mining data streams: a review (SGMD)
- Learning with Drift Detection
- Early Drift Detection Method
- A survey on concept drift adaptation
- Detecting Change in Data Streams
- Learning in Nonstationary Environments: A Survey
- A survey on data stream clustering and classification (Knowledge and Information Systems)
- Markov Chains and Mixing Times
- Characterizing concept drift
- A unifying view on dataset shift in classification
Their papers
- Analyzing concept drift and shift from sample data (2018) — 105 citations