Tissue phenotyping is a fundamental computational pathology (CPath) task...
Human tissue and its constituent cells form a microenvironment that is
f...
Supervised learning tasks such as cancer survival prediction from gigapi...
Sparse Bayesian learning (SBL) is a powerful framework for tackling the
...
Short-time Fourier transform (STFT) is the most common window-based appr...
State-of-the-art approaches for clustering high-dimensional data utilize...
Sparse Bayesian learning (SBL) is a powerful framework for tackling the
...
Convolutional dictionary learning (CDL), the problem of estimating
shift...
To capture the slowly time-varying spectral content of real-world time
s...
Supervised deep learning has gained significant attention for speech
enh...
Given a continuous-time signal that can be modeled as the superposition ...
We consider the problem of learning recurring convolutional patterns fro...
Spike sorting refers to the problem of assigning action potentials obser...