Alban Siffer

Artificial Intelligence · 2017

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

Subfields

Whom Alban Siffer trusts overall

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

  1. Eleazar Eskin
  2. Nicole A. Lazar
  3. Varun Chandola
  4. Romain Fontugne
  5. Arindam Banerjee
  6. Pierre Borgnat

Who trusts Alban Siffer overall

  1. Ailin Deng
  2. Sebastian Schmidl
  3. Shreshth Tuli
  4. Ahmed Abdulaal
  5. Ane Blázquez-García
  6. Yujing Wang
  7. Zekai Chen
  8. Ya Su
  9. Zhihan Yue
  10. Bryan Hooi

Papers from Alban Siffer's perspective

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

  1. Anomaly detection: A survey
  2. Anomaly Detection over Noisy Data using Learned Probability Distributions (International Conference on Machine Learning)
  3. LOF: identifying density-based local outliers
  4. Detecting SYN flooding attacks (Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies)
  5. A Limited Memory Algorithm for Bound Constrained Optimization
  6. Distance-based detection and prediction of outliers (IEEE Transactions on Knowledge and Data Engineering)
  7. Statistics of Extremes: Theory and Applications (Technometrics)
  8. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
  9. MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking (Conference on Emerging Network Experiment and Technology)
  10. Mining anomalies using traffic feature distributions (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)

Their papers