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07/21/2023
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
Medical image segmentation is a challenging task, particularly due to in...
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07/18/2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Multiple Instance Learning (MIL) has been widely applied to medical imag...
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02/08/2023
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
Multiple Instance Learning (MIL) is a weakly supervised learning paradig...
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12/07/2020
Deep Gaussian Processes for geophysical parameter retrieval
This paper introduces deep Gaussian processes (DGPs) for geophysical par...
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11/05/2019
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
In the last years, crowdsourcing is transforming the way classification ...
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10/02/2017
