Emmanuel S. PIlli
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Computer Networks and Communications — 31 citations into it
- Signal Processing — 16 citations into it
Whom Emmanuel S. PIlli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Emmanuel S. PIlli's perspective
Ordered by how strongly the researchers Emmanuel S. PIlli trusts endorse each paper. Same corpus, a different order for every researcher.
- Mastering the game of Go with deep neural networks and tree search
- Learning to predict by the methods of temporal differences
- Scikit-learn: Machine Learning in Python
- A new intrusion detection system using support vector machines and hierarchical clustering
- A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (Expert systems with applications)
- A comparison of event models for naive bayes text classification
- A novel hybrid intrusion detection method integrating anomaly detection with misuse detection (Expert systems with applications)
- The self-organizing map
- Support Vector Method for Novelty Detection
- UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)