Jules Samaran

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

Whom Jules Samaran trusts overall

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

  1. Carl Doersch
  2. Jaka Demsar

Papers from Jules Samaran's perspective

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

  1. Learning internal representations by error propagation
  2. Long Short-Term Memory
  3. Anomaly detection: A survey
  4. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (International Conference on Learning Representations)
  5. LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection (arXiv.org)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A Dataset to Support Research in the Design of Secure Water Treatment Systems (Critical Information Infrastructures Security)
  8. Unsupervised real-time anomaly detection for streaming data (Neurocomputing)
  9. ImageNet classification with deep convolutional neural networks
  10. Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (Knowledge Discovery and Data Mining)

Their papers