Michael R. Smith

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #28,311 of 35,345 by trust here, #29,412 by citations

Whom Michael R. Smith trusts overall

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

1. Yoav Freund
2. David D. Lewis
3. Tin Kam Ho
4. H. Sebastian Seung
5. Carla E. Brodley
6. William A. Gale
7. Robert E. Schapire
8. Hans-Peter Kriegel
9. J. Ross Quinlan
10. Mitra Basu

Who trusts Michael R. Smith overall

1. Guillaume Lemaitre
2. Tuong Le
3. Ana Carolina Lorena
4. Iván Olier
5. Fernando Nogueira
6. Luís Paulo Faina Garcia

Papers from Michael R. Smith's perspective

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

1. Query by committee
2. A sequential algorithm for training text classifiers
3. Experiments with a New Boosting Algorithm
4. C4.5: Programs for Machine Learning
5. LOF: identifying density-based local outliers
6. Active Learning Literature Survey
7. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
8. Outlier detection by active learning (Knowledge Discovery and Data Mining)
9. LoOP: local outlier probabilities
10. Experimental perspectives on learning from imbalanced data (International Conference on Machine Learning)

Their papers

• An instance level analysis of data complexity (2014) — 437 citations