Giulia Sorbi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Giulia Sorbi trusts overall

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

  1. Mayu Sakurada
  2. Graham J. Williams
  3. Simon Hawkins
  4. John C. Duchi

Papers from Giulia Sorbi's perspective

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

  1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  2. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  3. Outlier Detection Using Replicator Neural Networks (International Conference on Data Warehousing and Knowledge Discovery)
  4. Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers
  5. Detecting spammers on social networks (Asia-Pacific Computer Systems Architecture Conference)
  6. Uncovering social spammers: social honeypots + machine learning
  7. Replicator neural networks for universal optimal source coding.
  8. Anomaly detection: A survey
  9. Trafficking Fraudulent Accounts: The Role of the Underground Market in Twitter Spam and Abuse
  10. A comparative study of RNN for outlier detection in data mining (IEEE International Conference on Data Mining. Proceedings)

Their papers