Paolo Palumbo

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 5 citations into it

Whom Paolo Palumbo trusts

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

1. J. Ross Quinlan (in Artificial Intelligence)
2. David Barber (in Artificial Intelligence)
3. Kevin P. Murphy (in Probabilistic & Bayesian Methods)

Papers from Paolo Palumbo's perspective

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

1. Bayesian reasoning and machine learning
2. Induction of decision trees
3. Machine learning - a probabilistic perspective
4. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
5. A survey on automated dynamic malware-analysis techniques and tools (CSUR)
6. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
7. Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs (Conference on Computer and Communications Security)
8. A Machine Learning Approach to Android Malware Detection (European Intelligence and Security Informatics Conference)
9. A study of smoothing methods for language models applied to information retrieval
10. Malware Analysis and Classification: A Survey

Their papers

• Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes (2015) — 33 citations