Luis Gonzalo Sánchez Giraldo
Orcid: 0000-0001-8984-9841
According to our database1,
Luis Gonzalo Sánchez Giraldo
authored at least 35 papers
between 2009 and 2024.
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Bibliography
2024
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Mach. Learn., April, 2023
CoRR, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
2019
Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks.
Neural Comput., 2019
A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data.
CoRR, 2019
A stable hybrid method for feature subset selection using particle swarm optimization with local search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
CoRR, 2018
Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks.
CoRR, 2018
2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2015
IEEE Trans. Inf. Theory, 2015
2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Correntropy kernel temporal differences for reinforcement learning brain machine interfaces.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the 1st International Conference on Learning Representations, 2013
Information-theoretic metric learning: 2-D linear projections of neural data for visualization.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
A reproducing kernel Hilbert space formulation of the principle of relevant information.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Functional Feature Selection by Weighted Projections in Pathological Voice Detection.
Proceedings of the Progress in Pattern Recognition, 2009