86 citations · 192 across the 27 of their papers we have counts for
3 papers · 1 filter
Variational Bayesian inference of hidden stochastic processes with unknown parameters
Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova
Estimating hidden processes from non-linear noisy observations is particularly difficult when the parameters of these processes are not known. This paper adopts a machine learning…
Structural Recurrent Neural Network for Traffic Speed Prediction
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
Deep neural networks have recently demonstrated the traffic prediction capability with the time series data obtained by sensors mounted on road segments. However, capturing spatio-…
Comprehensive review of models and methods for inferences in bio-chemical reaction networks
Pavel Loskot, Komlan Atitey, Lyudmila Mihaylova
Key processes in biological and chemical systems are described by networks of chemical reactions. From molecular biology to biotechnology applications, computational models of reac…