José Aguilar

Artificial Intelligence · 2019

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

Subfields

Whom José Aguilar trusts

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

  1. Tom Fawcett (in Artificial Intelligence)

Papers from José Aguilar's perspective

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

  1. Ensemble based systems in decision making
  2. An introduction to ROC analysis
  3. Laplacian Score for Feature Selection (Neural Information Processing Systems)
  4. Network Traffic Classification Using Correlation Information (IEEE Transactions on Parallel and Distributed Systems)
  5. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
  6. Discriminators for use in flow-based classification
  7. Graph based anomaly detection and description: a survey (Data mining and knowledge discovery)
  8. A survey of methods for encrypted traffic classification and analysis (International Journal of Network Management)
  9. A tool for the generation of realistic network workload for emerging networking scenarios (Comput. Networks)
  10. Deep learning for robust feature generation in audiovisual emotion recognition (IEEE International Conference on Acoustics, Speech, and Signal Processing)

Their papers