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08/10/2023
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
Automated medical report generation has become increasingly important in...
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06/19/2023
Few-shot Learning for Inference in Medical Imaging with Subspace Feature Representations
Unlike the field of visual scene recognition where tremendous advances h...
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05/23/2023
GO-LDA: Generalised Optimal Linear Discriminant Analysis
Linear discriminant analysis (LDA) has been a useful tool in pattern rec...
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05/23/2023
Prompt position really matters in few-shot and zero-shot NLU tasks
Prompt-based models have made remarkable advancements in the fields of z...
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05/08/2020
Construction of Minimum Spanning Trees from Financial Returns using Rank Correlation
The construction of minimum spanning trees (MSTs) from correlation matri...
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05/05/2020
Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box
Modern decision-making in fixed income asset management benefits from in...
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02/27/2020
Understanding and Enhancing Mixed Sample Data Augmentation
Mixed Sample Data Augmentation (MSDA) has received increasing attention ...
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06/13/2019
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
We introduce and demonstrate the variational autoencoder (VAE) for proba...
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06/04/2019
A numerical measure of the instability of Mapper-type algorithms
Mapper is an unsupervised machine learning algorithm generalising the no...
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02/05/2019
Minimum description length as an objective function for non-negative matrix factorization
Non-negative matrix factorization (NMF) is a dimensionality reduction te...
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01/09/2019
A Biologically Inspired Visual Working Memory for Deep Networks
The ability to look multiple times through a series of pose-adjusted gli...
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04/28/2017