578 citations · 1.1k across the 22 of their papers we have counts for
22 papers
An efficient, provably optimal algorithm for the 0-1 loss linear classification problem
Xi He, Max A. Little
Algorithms for solving the linear classification problem have a long history, dating back at least to 1936 with linear discriminant analysis. For linearly separable data, many algo…
TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications
Kasper Claes, Valentina Ticcinelli, Reham Badawy +3
Digital sensors are increasingly being used to monitor the change over time of physiological processes in biological health and disease, often using wearable devices. This generate…
Patient-Specific Game-Based Transfer Method for Parkinson's Disease Severity Prediction
Zaifa Xue, Huibin Lu, Tao Zhang +1
Dysphonia is one of the early symptoms of Parkinson's disease (PD). Most existing methods use feature selection methods to find the optimal subset of voice features for all PD pati…
Dynamic programming by polymorphic semiring algebraic shortcut fusion
Max A. Little, Xi He, Ugur Kayas
Dynamic programming (DP) is an algorithmic design paradigm for the efficient, exact solution of otherwise intractable, combinatorial problems. However, DP algorithm design is often…
Few-shot time series segmentation using prototype-defined infinite hidden Markov models
Yazan Qarout, Yordan P. Raykov, Max A. Little
We propose a robust framework for interpretable, few-shot analysis of non-stationary sequential data based on flexible graphical models to express the structured distribution of se…
Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction
Adam Farooq, Yordan P. Raykov, Petar Raykov +1
Ubiquitous linear Gaussian exploratory tools such as principle component analysis (PCA) and factor analysis (FA) remain widely used as tools for: exploratory analysis, pre-processi…