Emil Eirola

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

Whom Emil Eirola trusts overall

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

  1. J. Ross Quinlan
  2. David Barber
  3. Kevin P. Murphy
  4. Chengxiang Zhai

Papers from Emil Eirola's perspective

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

  1. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
  2. Machine learning - a probabilistic perspective
  3. Bayesian reasoning and machine learning
  4. Induction of decision trees
  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