75 citations · 100 across the 11 of their papers we have counts for
13 papers
Dynamical model-based experiment design for drug repositioning
Atte Aalto, La Mi, Diego A. Blanco-Mora +1
Computational methods in drug repositioning can help to conserve resources. In particular, methods based on biological networks are showing promise. Considering only the network to…
A multifactorial evaluation framework for gene regulatory network reconstruction
Laurent Mombaerts, Atte Aalto, Johan Markdahl +1
In the past years, many computational methods have been developed to infer the structure of gene regulatory networks from time-series data. However, the applicability and accuracy…
Linear system identification from ensemble snapshot observations
Atte Aalto, Jorge Goncalves
Developments in transcriptomics techniques have caused a large demand in tailored computational methods for modelling gene expression dynamics from experimental data. Recently, so-…
Continuous time Gaussian process dynamical models in gene regulatory network inference
Atte Aalto, Lauri Viitasaari, Pauliina Ilmonen +2
One of the focus areas of modern scientific research is to reveal mysteries related to genes and their interactions. The dynamic interactions between genes can be encoded into a ge…
Bayesian variable selection in linear dynamical systems
Atte Aalto, Jorge Goncalves
We develop a method for reconstructing regulatory interconnection networks between variables evolving according to a linear dynamical system. The work is motivated by the problem o…
Iterative observer-based state and parameter estimation for linear systems
Atte Aalto
We propose an iterative method for joint state and parameter estimation using measurements on a time interval [0,T] for systems that are backward output stabilizable. Since this ti…
Convergence of discrete-time Kalman filter estimate to continuous-time estimate for systems with unbounded observation
Atte Aalto
In this article, we complement recent results on the convergence of the state estimate obtained by applying the discrete-time Kalman filter on a time-sampled continuous-time system…
Output error minimizing back and forth nudging method for initial state recovery
Atte Aalto
We show that for linear dynamical systems with skew-adjoint generators, the initial state estimate given by the back and forth nudging method with colocated feedback, converges to…
Modal locking between vocal fold and vocal tract oscillations: Simulations in time domain
Atte Aalto, Tiina Murtola, Jarmo Malinen +2
During voiced speech, the human vocal folds interact with the vocal tract acoustics. The resulting glottal source-resonator coupling has been observed using mathematical and physic…
Convergence of discrete time Kalman filter estimate to continuous time estimate
Atte Aalto
This article is concerned with the convergence of the state estimate obtained from the discrete time Kalman filter to the continuous time estimate as the temporal discretization is…
Spatial discretization error in Kalman filtering for discrete-time infinite dimensional systems
Atte Aalto
We derive a reduced-order state estimator for discrete-time infinite dimensional linear systems with finite dimensional Gaussian input and output noise. This state estimator is the…
Acoustic wave guides as infinite-dimensional dynamical systems
Atte Aalto, Teemu Lukkari, Jarmo Malinen
We prove the unique solvability, passivity/conservativity and some regularity results of two mathematical models for acoustic wave propagation in curved, variable diameter tubular…
Modal locking between vocal fold and vocal tract oscillations: Experiments and statistical analysis
Daniel Aalto, Jarmo Malinen, Martti Vainio
The human vocal folds are known to interact with the vocal tract acoustics during voiced speech production; namely a nonlinear source-filter coupling has been observed both by usin…