Ullas Nambiar

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #27,848 of 35,345 by trust here, #34,213 by citations

Whom Ullas Nambiar trusts overall

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

1. Diederik P. Kingma
2. Nitesh V. Chawla
3. David Arthur
4. Nathalie Japkowicz

Who trusts Ullas Nambiar overall

1. A. Ozbayoglu
2. M. Ugur Gudelek
3. Omer Berat Sezer

Papers from Ullas Nambiar's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. SMOTE: Synthetic Minority Over-sampling Technique
4. The class imbalance problem: A systematic study
5. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
6. The Class Imbalance Problem: Significance and Strategies
7. k-means++: the advantages of careful seeding
8. Calibrating Probability with Undersampling for Unbalanced Classification
9. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
10. Applied Logistic Regression (Technometrics)

Their papers

• Ensemble learning for credit card fraud detection (2018) — 93 citations