Abbes Amira

Artificial Intelligence · 2008–2022

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abbes Amira trusts

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

  1. Kai Ming Ting (in Artificial Intelligence)
  2. Zhi-Hua Zhou (in Artificial Intelligence)
  3. Fei Tony Liu (in Artificial Intelligence)

Papers from Abbes Amira's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
  3. Towards Efficient and Privacy-Preserving Federated Deep Learning
  4. Isolation Forest
  5. Graph based anomaly detection and description: a survey (Data mining and knowledge discovery)
  6. Deep One-Class Classification
  7. Explainable Recommendation: A Survey and New Perspectives
  8. An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos (Journal of Imaging)
  9. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (IEEE Communications Surveys and Tutorials)
  10. MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks (International Conference on Artificial Neural Networks)

Their papers