A non-negative representation learning algorithm for selecting neighbors
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points
Propagation kernels: efficient graph kernels from propagated information
Spatio-temporal convolution kernels
Loda: Lightweight on-line detector of anomalies
Asymptotic accuracy of Bayes estimation for latent variables with redundancy
Population recovery and partial identification
On some transformations of high dimension, low sample size data for nearest neighbor classification
Probabilistic archetypal analysis
Generalization bounds for metric and similarity learning
Editorial: special issue on machine learning for health and medicine
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies
Learning (predictive) risk scores in the presence of censoring due to interventions
Supersparse linear integer models for optimized medical scoring systems
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test
A dynamic ensemble approach to robust classification in the presence of missing data
Learning to identify relevant studies for systematic reviews using random forest and external information
Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R