Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020
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Updated
May 18, 2021 - MATLAB
Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020
code to infer model parameters from data (first dedicated to the dynamic clicks task)
Files used for the Cibernetica Fisiologica project. I've used the Matlab sensitivity toolbox to find the parameters that make the model fits the data simulated.
This MATLAB script fits either a linear or hyperbolic function to time-series data (e.g., growth data).
Reference repository for code used in our NBDT publication on the dynamic clicks task
The project involves projective geometry, geometric transformations, modelling of cameras, feature extraction, stereo vision, recognition and deep learning, 3d-modelling, geometry of surfaces and their silhouettes, tracking, and visualisation.
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Implementation of the algorithm described in the following paper. Korenberg, M., Billings, S.A. and Liu, Y.P. (1987) An Orthogonal Parameter Estimation Algorithm for Nonlinear Stochastic Systems
Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.
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