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Author
Title
Year
Publication
Volume
Pages
Links
I. Sorodoc; S. Pezzelle; A. Herbelot; Mariella Dimiccoli; R. Bernardi
Learning quantification from images: A structured neural architecture
2018
Natural Language Engineering
24
363-392
Eduardo Aguilar; Petia Radeva
Uncertainty-aware integration of local and flat classifiers for food recognition
2020
Pattern Recognition Letters
136
237-243
Mikkel Thogersen; Sergio Escalera; Jordi Gonzalez; Thomas B. Moeslund
Segmentation of RGB-D Indoor scenes by Stacking Random Forests and Conditional Random Fields
2016
Pattern Recognition Letters
80
208–215
Estefania Talavera; Carolin Wuerich; Nicolai Petkov; Petia Radeva
Topic modelling for routine discovery from egocentric photo-streams
2020
Pattern Recognition
104
107330
Eduardo Aguilar; Marc Bolaños; Petia Radeva
Regularized uncertainty-based multi-task learning model for food analysis
2019
Journal of Visual Communication and Image Representation
60
360-370
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