25 citations · 81 across the 17 of their papers we have counts for
3 papers · 1 filter
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
Bartosz Grabowski, Przemysław Głomb, Wojciech Masarczyk +4
Interpretation of electrocardiography (ECG) signals is required for diagnosing cardiac arrhythmia. Recently, machine learning techniques have been applied for automated computer-ai…
Data structure > labels? Unsupervised heuristics for SVM hyperparameter estimation
Michał Cholewa, Michał Romaszewski, Przemysław Głomb
Classification is one of the main areas of pattern recognition research, and within it, Support Vector Machine (SVM) is one of the most popular methods outside of field of deep lea…
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data
Michał Cholewa, Przemysław Głomb
This paper presents a method of choosing number of states of a HMM based on number of critical points of the motion capture data. The choice of Hidden Markov Models(HMM) parameters…