Jugdutt Singh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Signal Processing — 21 citations into it
• Information Systems — 9 citations into it
• Statistics and Probability — 8 citations into it

Whom Jugdutt Singh trusts overall

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

1. Leo Breiman

Papers from Jugdutt Singh's perspective

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

1. Visualizing Data using t-SNE
2. The Strength of Weak Learnability
3. Mining high-speed data streams
4. Bias, Variance , And Arcing Classifiers
5. When Is ''Nearest Neighbor'' Meaningful?
6. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
7. New ensemble methods for evolving data streams
8. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
9. BIRCH: an efficient data clustering method for very large databases
10. A kernel view of the dimensionality reduction of manifolds (International Conference on Machine Learning)

Their papers

• A comprehensive survey of anomaly detection techniques for high dimensional big data (2020) — 408 citations