_
Georgios' personal web page (last updated on Feb. 4th, 2025)
How do we compute a Gramian Angular Field (GAF) for time series?
How do we compute a Gramian Angular Field (GAF) for time series?This post introduces the Gramian Angular Field and its implementation in Python.
Tips & Tricks (Linux/Vim/Git/Programming)
Tips & Tricks (Linux/Vim/Git/Programming)Here, you can find some helpful tips and tricks.
Eigenvalue level repulsion
Eigenvalue level repulsionThis post briefly introduces how to compute eigenvalue level repulsion in Python.
How do we verify linear separability with Python?
How do we verify linear separability with Python?This post briefly introduces how to check if two sets are linear separable using Python.
Intersection points of curves
Intersection points of curvesA brief tutorial on how to compute intesection points between two curves.
Simple mathematical tricks in Python
Simple mathematical tricks in PythonHere, you can find some helpful mathematical tips and tricks in Python.
An introduction to self-organizing maps
An introduction to self-organizing mapsThis post introduces the classical self-organizing map (SOM) algorithm proposed by Grossberg and later by Kohonen. We explain the algorithm’s fundamental aspects and implement it on Pytorch.
Organs-on-Chip-as-a-Service: A proposal bridging cloud services and scientific experiments
Organs-on-Chip-as-a-Service: A proposal bridging cloud services and scientific experimentsTechnological advancements enable delicate and complex experiments on small-scale devices, such as organs-on-chips, improving and accelerating research. At the same time, an ever-increasing diversity of hardware platforms is accessible via cloud services. This …
Autocorrelation Functions for Time Series
Autocorrelation Functions for Time SeriesThis post provides some theoretical background on autocorrelation functions and how to use them to analyze time series. Furthermore, we show how to use the autocorrelation (ACF) function and the Partial Autocorrelation (PACF) functions to determine the parameters for an ARMA model.
Useful data transformations
Useful data transformationsFundamental data transformations such as mean subtraction (centering data), normalization, and standardization are standard preprocessing steps for many algorithms. Therefore, in this post, we provide some information regarding different basic data transformations as well as simple examples of Python code for applying those transforms to real data.