Eihab B. M. Bashier

Essentials of Pattern Recognition · 2010–2016

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

Whom Eihab B. M. Bashier trusts overall

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

1. Miroslav Kubat

Who trusts Eihab B. M. Bashier overall

1. Yue‐Jun Zhang

Papers from Eihab B. M. Bashier's perspective

Ordered by how strongly the researchers Eihab B. M. Bashier trusts endorse each paper. Same corpus, a different order for every researcher.

1. Cost-based modeling for fraud and intrusion detection: results from the JAM project (Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00)
2. An Introduction to Machine Learning
3. The Nature of Statistical Learning Theory
4. Nearest neighbor pattern classification
5. MetaCost: a general method for making classifiers cost-sensitive
6. Improved Boosting Algorithms Using Confidence-rated Predictions
7. Fast Algorithms for Mining Association Rules
8. Fast Effective Rule Induction
9. Mining association rules between sets of items in large databases
10. The Strength of Weak Learnability

Their papers

• Machine Learning: Algorithms and Applications (2016) — 332 citations
• Hidden Markov Model (2010) — 387 citations