Eduardo Aguilar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Improve Recognition Accuracy

Cellular Neural Networks

Individual Classifiers

Top Venues

J. Vis. Commun. Image Represent.

Publications

Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 172 (2024)
Roberto Morales, Angela Martinez-Arroyo, Eduardo Aguilar
Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images. Sensors 24 (7) (2024)
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. VISIGRAPP (2): VISAPP (2024)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR (2023)
Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva
Deep ensemble-based hard sample mining for food recognition. J. Vis. Commun. Image Represent. 95 (2023)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) (2023)
Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146 (2022)
Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103 (2022)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIODEVICES (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR (2020)
Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) (2020)
Eduardo Aguilar, Petia Radeva
Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognit. Lett. 136 (2020)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
Regularized uncertainty-based multi-task learning model for food analysis. J. Vis. Commun. Image Represent. 60 (2019)
Eduardo Aguilar, Petia Radeva
Class-Conditional Data Augmentation Applied to Image Classification. CAIP (2) (2019)
Eduardo Aguilar, Petia Radeva
Food Recognition by Integrating Local and Flat Classifiers. IbPRIA (1) (2019)
Aina Ferrà, Eduardo Aguilar, Petia Radeva
Multiple Wavelet Pooling for CNNs. ECCV Workshops (4) (2018)
Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Trans. Multim. 20 (12) (2018)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
Exploring Food Detection using CNNs. CoRR (2017)
Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants. CoRR (2017)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
Food Recognition Using Fusion of Classifiers Based on CNNs. ICIAP (2) (2017)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
Food Recognition using Fusion of Classifiers based on CNNs. CoRR (2017)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
Exploring Food Detection Using CNNs. EUROCAST (2) (2017)