Chanan Glezer
Computer Networks and Communications · 2006–2012
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 15 citations into it
- Signal Processing — 15 citations into it
- Artificial Intelligence — 13 citations into it
- Information Systems and Management — 13 citations into it; #2,118 of 3,842 by trust here, #2,588 by citations
- Information Systems — 10 citations into it
- Sociology and Political Science — 9 citations into it; #12,562 of 22,756 by trust here, #14,364 by citations
- Organizational Behavior and Human Resource Management — 8 citations into it; #5,051 of 8,741 by trust here, #6,415 by citations
Whom Chanan Glezer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred D. Davis
- Stuart J. Barnes
- Man Kit Chang
- J. Ross Quinlan
- Jonathan W. Palmer
- Robert E. Schapire
- Claude E. Shannon
- Yanchang Zhao
Who trusts Chanan Glezer overall
Papers from Chanan Glezer's perspective
Ordered by how strongly the researchers Chanan Glezer trusts endorse each paper. Same corpus, a different order for every researcher.
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- Neural Networks for Pattern Recognition
- Instance-based learning algorithms
- C4.5: Programs for Machine Learning
- Support Vector Machine Active Learning with Applications to Text Classification
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- SMOTE: Synthetic Minority Over-sampling Technique
- Data clustering: a review
- Testing malware detectors (International Symposium on Software Testing and Analysis)
- A Mathematical Theory of Communication
Their papers
- User satisfaction from commercial web sites: The effect of design and use (2006) — 338 citations
- “Andromaly”: a behavioral malware detection framework for android devices (2012) — 825 citations
- Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey (2009) — 332 citations