Faycal Bensaali
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
Whom Faycal Bensaali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Faycal Bensaali's perspective
Ordered by how strongly the researchers Faycal Bensaali trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
- Towards Efficient and Privacy-Preserving Federated Deep Learning
- Isolation Forest
- Graph based anomaly detection and description: a survey (Data mining and knowledge discovery)
- Deep One-Class Classification
- An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos (Journal of Imaging)
- Explainable Recommendation: A Survey and New Perspectives
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (IEEE Communications Surveys and Tutorials)
- MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks (International Conference on Artificial Neural Networks)