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04/26/2023
Architecting Complex, Long-Lived Scientific Software
Software is a critical aspect of large-scale science, providing essentia...
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05/22/2022
Self-supervised U-net for few-shot learning of object segmentation in microscopy images
State-of-the-art segmentation performances are achieved by deep neural n...
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03/07/2022
State space partitioning based on constrained spectral clustering for block particle filtering
The particle filter (PF) is a powerful inference tool widely used to est...
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02/07/2022
SODA: Self-organizing data augmentation in deep neural networks – Application to biomedical image segmentation tasks
In practice, data augmentation is assigned a predefined budget in terms ...
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08/18/2019
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
We investigate a problem in which each member of a group of learners is ...
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04/26/2018
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
We examine a network of learners which address the same classification t...
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01/21/2018
