Moiz Golawala

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #28,845 of 35,345 by trust here, #28,481 by citations

Whom Moiz Golawala trusts overall

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

1. Leo Breiman
2. J. Ross Quinlan
3. Tin Kam Ho
4. John R. Koza
5. Foster J. Provost
6. Trevor J. Hastie

Who trusts Moiz Golawala overall

1. Paulo Angelo Alves Resende
2. Joffrey L. Leevy
3. Siddhartha Bhattacharyya
4. Chongsheng Zhang

Papers from Moiz Golawala's perspective

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

1. Bagging Predictors
2. UCI Repository of machine learning databases
3. Experiments with a New Boosting Algorithm
4. Random Forests
5. Induction of decision trees
6. Robust Classification for Imprecise Environments
7. Incremental Induction of Decision Trees
8. The Random Subspace Method for Constructing Decision Forests
9. Mining concept-drifting data streams using ensemble classifiers
10. Learning in the Presence of Concept Drift and Hidden Contexts

Their papers

• An Empirical Study of Learning from Imbalanced Data Using Random Forest (2007) — 352 citations