Eemi Fagerlund

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eemi Fagerlund trusts overall

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

  1. Annamaria Mesaros
  2. Toni Heittola

Papers from Eemi Fagerlund's perspective

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

  1. Unsupervised Domain Adaptation by Backpropagation
  2. Unbiased look at dataset bias
  3. Adversarial Discriminative Domain Adaptation
  4. A theory of learning from different domains
  5. TUT database for acoustic scene classification and sound event detection
  6. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
  7. DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System
  8. A multi-device dataset for urban acoustic scene classification
  9. A Deeper Look at Dataset Bias
  10. An unsupervised deep domain adaptation approach for robust speech recognition

Their papers