publicaciones seleccionadas
-
artículo editorial
- CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection. Expert Systems with Applications. 2025
- Multi-task visual food recognition by integrating an ontology supported with LLM. Journal of Visual Communication and Image Representation. 2025
- Lightweight DeepLabv3+ for Semantic Food Segmentation. Foods. 2025
- Una estrategia híbrida de aprendizaje por refuerzo informada por RRT* para la planificación de caminos de robots móviles en minería a cielo abierto. Revista Iberoamericana de Automática e Informática industrial. 2024
- Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images. Sensors. 2024
- Bayesian deep learning for semantic segmentation of food images. Computers and Electrical Engineering. 2022
- Can deep learning models recognize chilean diet. IEEE Latin America Transactions. 2022
- Uncertainty-aware selecting for an ensemble of deep food recognition models. Computers in Biology and Medicine. 2022
- Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognition Letters. 2020
- Regularized uncertainty-based multi-task learning model for food analysis. Journal of Visual Communication and Image Representation. 2019
- Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Transactions on Multimedia. 2018
- Gender classification using frequency vectors based on local descriptors,Clasificación de género utilizando vectores de frecuencia basados en descriptores locales. Ingeniare. 2016
-
capítulo
- LLM-Generated Semantic Co-occurrences for Multi-label Food Recognition 2026
- Robust Logit to Enhance Stochastic Neural Network Adversarial Robustness 2026
- An Uncertainty-Driven ScaledYOLOv4 for Open-Pit Mining Helmet Detection 2025
- Multi-label Out-of-Distribution Detection via Evidential Learning 2025
- Towards a Lightweight CNN for Semantic Food Segmentation 2025
- S2ML-TL Framework for Multi-label Food Recognition 2021
- Uncertainty Modeling and Deep Learning Applied to Food Image Analysis 2021
- Class-Conditional Data Augmentation Applied to Image Classification 2019
- Food Recognition by Integrating Local and Flat Classifiers 2019
- Multiple Wavelet Pooling for CNNs 2019
-
libro
