Ori Stitelman

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Ori Stitelman trusts overall

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

1. Leo Breiman
2. L. Eon Bottou

Papers from Ori Stitelman's perspective

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

1. A Survey on Transfer Learning
2. Large-Scale Machine Learning with Stochastic Gradient Descent
3. Addendum: Regularization and variable selection via the elastic net
4. Learning and evaluating classifiers under sample selection bias
5. Feature hashing for large scale multitask learning
6. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
7. Quality management on Amazon Mechanical Turk (AAAI Conference on Human Computation & Crowdsourcing)
8. Stacked regressions
9. Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies
10. Audience selection for on-line brand advertising: privacy-friendly social network targeting

Their papers

• Machine learning for targeted display advertising: transfer learning in action (2013) — 179 citations