Ebberth L. Paula

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ebberth L. Paula trusts overall

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

  1. Mayu Sakurada
  2. Varun Chandola
  3. Takehisa Yairi
  4. Arindam Banerjee

Who trusts Ebberth L. Paula overall

  1. Thiago Alencar Gomes
  2. Rommel N. Carvalho

Papers from Ebberth L. Paula's perspective

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

  1. Going deeper with convolutions
  2. Anomaly detection: A survey
  3. Deep Learning
  4. Semi-supervised Learning with Deep Generative Models
  5. Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
  6. A Review of Financial Accounting Fraud Detection based on Data Mining Techniques
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers