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Eduardo Aguilar 0001
Person information
- affiliation: Universidad Católica del Norte, Antofagasta, Chile
- affiliation: Universitat de Barcelona, Barcelona, Spain
Other persons with the same name
- Eduardo Aguilar 0002 — University of Deusto, Bilbao, Spain
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2020 – today
- 2024
- [j8]Bhalaji Nagarajan
, Ricardo Marques
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 172: 106122 (2024) - [j7]Roberto Morales
Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images. Sensors 24(7): 2034 (2024) - [c13]Bastián Muñoz, Beatriz Remeseiro, Eduardo Aguilar:
Towards a Lightweight CNN for Semantic Food Segmentation. CIARP (1) 2024: 1-15 - [c12]Roger Calle, Eduardo Aguilar:
An Uncertainty-Driven ScaledYOLOv4 for Open-Pit Mining Helmet Detection. CIARP (2) 2024: 74-89 - [c11]Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva:
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. VISIGRAPP (2): VISAPP 2024: 624-631 - 2023
- [j6]Bhalaji Nagarajan
Deep ensemble-based hard sample mining for food recognition. J. Vis. Commun. Image Represent. 95: 103905 (2023) - [c10]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) 2023: 3436-3446 - [i4]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR abs/2309.02995 (2023) - 2022
- [j5]Eduardo Aguilar
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146: 105645 (2022) - [j4]Eduardo Aguilar
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103: 108380 (2022) - 2020
- [j3]Eduardo Aguilar
Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognit. Lett. 136: 237-243 (2020) - [c9]Eduardo Aguilar
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) 2020: 3-16 - [c8]Eduardo Aguilar, Bhalaji Nagarajan
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC 2020: 9-16 - [c7]Bhalaji Nagarajan
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) 2020: 629-646 - [c6]Eduardo Aguilar, Bhalaji Nagarajan
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR 2020: 4017-4024
2010 – 2019
- 2019
- [j2]Eduardo Aguilar, Marc Bolaños
Regularized uncertainty-based multi-task learning model for food analysis. J. Vis. Commun. Image Represent. 60: 360-370 (2019) - [c5]Eduardo Aguilar
Class-Conditional Data Augmentation Applied to Image Classification. CAIP (2) 2019: 182-192 - [c4]Eduardo Aguilar
Food Recognition by Integrating Local and Flat Classifiers. IbPRIA (1) 2019: 65-74 - 2018
- [j1]Eduardo Aguilar
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Trans. Multim. 20(12): 3266-3275 (2018) - [c3]Aina Ferrà
Multiple Wavelet Pooling for CNNs. ECCV Workshops (4) 2018: 671-675 - 2017
- [c2]Eduardo Aguilar
Exploring Food Detection Using CNNs. EUROCAST (2) 2017: 339-347 - [c1]Eduardo Aguilar
Food Recognition Using Fusion of Classifiers Based on CNNs. ICIAP (2) 2017: 213-224 - [i3]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Exploring Food Detection using CNNs. CoRR abs/1709.04800 (2017) - [i2]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Food Recognition using Fusion of Classifiers based on CNNs. CoRR abs/1709.04864 (2017) - [i1]Eduardo Aguilar, Beatriz Remeseiro
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants. CoRR abs/1711.05128 (2017)
Coauthor Index
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