Digging through the dirt: a general method for abstract discrete state estimation with limited prior knowledge

Assessment of Vigilance Level during Work: Fitting a Hidden Markov Model to Heart Rate Variability

Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data

Monte Carlo algorithms for performing Bayesian inference on Piecewise Deterministic Processes

Analyzing dynamic functional connectivity using state-space models on mice fUS data

Data-driven Steering Torque Behaviour Modelling with Hidden Markov Models

Data-driven Steering-Torque Behaviour Modelling: A Hidden Markov Model Approach

Automated modelling of traffic signal controller behaviour from floating car data using Hidden semi-Markov Models: Paving the way for large scale implementation of Green Light Optimal Speed Advisory systems

Sex-specific effects of wind on the flight decisions of a sexually dimorphic soaring bird

Lane Change Intention Recognition Models Using Hidden Markov Models and Relevance Vector Machines

Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification

Reservoir Lithology Determination by Hidden Markov Random Fields Based on a Gaussian Mixture Model

Remaining Useful Life Estimation Using Explicit Duration Hidden Markov Models

Energy disaggregation: Nonintrusive load monitoring: The search for practical methods

Application of State Space Hidden Markov Models to the approximation of (embedded) option prices

Sequentiële Monte Carlo Methoden (Sequential Monte Carlo Methods)

Discovery of high-level tasks in the operating room