Mohammad R. Alshayeb

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #25,945 of 35,345 by trust here, #34,213 by citations
• Information Systems — 8 citations into it; #5,879 of 8,771 by trust here, #8,494 by citations
• Software — 6 citations into it; #816 of 1,227 by trust here, #1,184 by citations

Whom Mohammad R. Alshayeb trusts overall

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

1. Jerome H. Friedman
2. Vladimir Naumovich Vapni
3. L. Eon Bottou
4. Haibo He
5. Ahmet Okutan
6. Tim Menzies
7. Trevor J. Hastie
8. Yanmin Sun
9. Qinbao Song
10. Leo Breiman

Who trusts Mohammad R. Alshayeb overall

1. Chakkrit Kla Tantithamthavorn

Papers from Mohammad R. Alshayeb's perspective

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

1. The Nature of Statistical Learning Theory
2. Random Forests
3. The class imbalance problem: A systematic study
4. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
5. Pattern Recognition and Machine Learning
6. Large-Scale Machine Learning with Stochastic Gradient Descent
7. Stochastic gradient boosting
8. Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings (IEEE Transactions on Software Engineering)
9. Cost-sensitive boosting for classification of imbalanced data (Pattern Recognition)
10. Logistic Model Trees

Their papers

• Software defect prediction using ensemble learning on selected features (2015) — 379 citations