Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets
- Saul Calderon-Ramirez
- , Luis Oala
- , Jordina Torrents-Barrena
- , Shengxiang Yang
- , David Elizondo
- , Armaghan Moemeni
- , Simon Colreavy-Donnelly
- , Wojciech Samek
- , Miguel A. Molina-Cabello
- , Ezequiel Lopez-Rubio
- De Montfort University
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
- Hewlett-Packard
- University of Nottingham
- University of Málaga
Research output: Contribution to journal › Article › peer-review