Search Results for author:
Found 7 papers, 2 papers with code
Priberam Labs at the 3rd Shared Task on SlavNER
This document describes our participation at the 3rd Shared Task on SlavNER, part of the 8th Balto-Slavic Natural Language Processing Workshop, where we focused exclusively in the Named Entity Recognition (NER) task.
Explanation Regularisation through the Lens of Attributions
In this work, we seek to close this gap, and also explore the relationship between reliance on plausible features and OOD performance.
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging
This study proposed a novel framework to enable volumetric super-resolution, with an additional model input of high-resolution b0 DWI.
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction
Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) enables us to probe the microstructural arrangement of cardiomyocytes within the myocardium in vivo and non-invasively, which no other imaging modality allows.
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
To the best of our knowledge, this is the first study using deep CNN based CS for the DT-CMR reconstruction.
Sparse and Constrained Attention for Neural Machine Translation
In NMT, words are sometimes dropped from the source or generated repeatedly in the translation.
ExpertBayes: Automatically refining manually built Bayesian networks
Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure.
