Justin M. Beaver

2014 7th International Symposium on Resilient Control Systems (ISRCS) · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Justin M. Beaver trusts overall

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

1. William W. Cohen
2. Robert Craig Holte

Who trusts Justin M. Beaver overall

1. Moshe Kravchik
2. Shengyi Pan

Papers from Justin M. Beaver's perspective

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

1. Fast Effective Rule Induction
2. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
3. Random Forests
4. The WEKA data mining software: an update
5. Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems
6. Distributed Intrusion Detection System in a Multi-Layer Network Architecture of Smart Grids (IEEE Transactions on Smart Grid)
7. ImageNet: A large-scale hierarchical image database
8. UCI Repository of machine learning databases
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Machine learning for power system disturbance and cyber-attack discrimination (2014) — 297 citations