21 citations · 27 across the 7 of their papers we have counts for
7 papers
Identifying latent state transition in non-linear dynamical systems
Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge +2
This work aims to improve generalization and interpretability of dynamical systems by recovering the underlying lower-dimensional latent states and their time evolutions. Previous…
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series
Onur Poyraz, Pekka Marttinen
Analysis of multivariate healthcare time series data is inherently challenging: irregular sampling, noisy and missing values, and heterogeneous patient groups with different dynami…
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics
Arina Odnoblyudova, Çağlar Hizli, ST John +5
In biomedical applications it is often necessary to estimate a physiological response to a treatment consisting of multiple components, and learn the separate effects of the compon…
Supporting Management of Gestational Diabetes with Comprehensive Self-Tracking: Mixed-Method Study of Wearable Sensors
Mikko Kytö, Saila Koivusalo, Heli Tuomonen +5
Gestational diabetes (GDM) poses a growing health risk to both pregnant women and their offspring. While telehealth interventions for GDM management have proven effective, they hav…
Content Reduction, Surprisal and Information Density Estimation for Long Documents
Shaoxiong Ji, Wei Sun, Pekka Marttinen
Many computational linguistic methods have been proposed to study the information content of languages. We consider two interesting research questions: 1) how is information distri…
A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease
Manish Bhatia, Balram Meena, Vipin Kumar Rathi +5
The shape of erythrocytes or red blood cells is altered in several pathological conditions. Therefore, identifying and quantifying different erythrocyte shapes can help diagnose va…