TY  - GEN 
AU  - Morales Álvarez, Pablo
AU  - Ruiz Matarán, Pablo
AU  - Coughlin, S.
AU  - Molina Soriano, Rafael
AU  - Katsaggelos, Aggelos K.
PY  - 2022
UR  - https://hdl.handle.net/10481/99164
AB  - In the last years, the crowdsourcing paradigm is transforming the way classification training sets are obtained. Instead of relying on a single expert annotator, crowdsourcing shares the labelling effort among a large number of collaborators. For...
LA  - eng
PB  - IEEE
KW  - Crowdsourcing
KW  - Citizen Science
KW  - Laser Interferometer Gravitational Waves Observatory
KW  - Sparse Gaussian Processes
KW  - Scalability
KW  - Uncertainty Quantification
KW  - Deep Learning
TI  - Scalable variational gaussian processes for crowdsourcing: glitch detection in LIGO
DO  - 10.1109/TPAMI.2020.3025390
ER  -