Jorge Bacca
Orcid: 0000-0003-0381-6972
According to our database1,
Jorge Bacca
authored at least 44 papers
between 2011 and 2024.
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Bibliography
2024
CO2Wounds-V2 Extended Chronic Wounds Dataset From Leprosy Patients with Segmentation and Detection Labels.
Dataset, June, 2024
Mixture-Net: Low-rank deep image prior inspired by mixture models for spectral image recovery.
Signal Process., March, 2024
Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging.
IEEE Trans. Computational Imaging, 2024
Predicting The Spectrum: Deep Adaptive Sensing for Hadamard Single Pixel Spectral Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Plug-And-Play Algorithm Coupled with Low-Rank Quadratic Envelope Regularization for Compressive Spectral Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Automated chronic wounds medical assessment and tracking framework based on deep learning.
Comput. Biol. Medicine, October, 2023
IEEE Signal Process. Mag., March, 2023
D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion.
IEEE J. Sel. Top. Signal Process., March, 2023
Deep Adaptive Superpixels For Hadamard Single Pixel Imaging In Near-Infrared Spectrum.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
D<sup>2</sup>UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion.
CoRR, 2022
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging.
CoRR, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
IEEE Trans. Computational Imaging, 2021
Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Interpretable Deep Image Prior Method Inspired In Linear Mixture Model For Compressed Spectral Image Recovery.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Transmittance Regularizer for Binary coded Aperture Design in a Computational Imaging end-to-end Approach.
Proceedings of the IEEE International Conference on Acoustics, 2021
Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
IEEE Trans. Image Process., 2020
Proceedings of the Data Compression Conference, 2020
2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Single-Pixel Camera Sensing Matrix Design for Hierarchical Compressed Spectral Clustering.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the Advances in Web-Based Learning - ICWL 2019, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
A Non-iterative Reconstruction Algorithm for Single Pixel Spectral Imaging with Side Information.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE J. Sel. Top. Signal Process., 2018
Robust Formulation for Solving Underdetermined Random Linear System of Equations Via Admm.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
A Smoothing Stochastic Phase Retrieval Algorithm for Solving Random Quadratic Systems.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Framework for the design and development of motivational augmented reality learning experiences in vocational education and training.
PhD thesis, 2017
A constrained formulation for compressive spectral image reconstruction using linear mixture models.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2014
Augmented Reality Trends in Education: A Systematic Review of Research and Applications.
J. Educ. Technol. Soc., 2014
2013
A Case-based Reasoning Approach to Validate Grammatical Gender and Number Agreement in Spanish language.
Int. J. Interact. Multim. Artif. Intell., 2013
2012
A Case-Based Reasoning Approach to Support Teaching of Spanish as a Second Language in Indigenous Communities from Latin America.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
2011
LORSE: Intelligent meta-searcher of learning objects over distributed educational repositories based on intelligent agents.
Proceedings of the 2011 Frontiers in Education Conference, 2011