3 citations · 4 across the 3 of their papers we have counts for
3 papers
Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak
This study proposes a framework that extends existing time-coding time-to-first-spike spiking neural network (SNN) models to allow processing information changing over time. We exp…
Bayes Risk Consistency of Nonparametric Classification Rules for Spike Trains Data
Mirosław Pawlak, Mateusz Pabian, Dominik Rzepka
Spike trains data find a growing list of applications in computational neuroscience, imaging, streaming data and finance. Machine learning strategies for spike trains are based on…
Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance
Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak
This study adapts the highly-versatile siamese neural network model to the event data domain. We introduce a supervised training framework for optimizing Earth Mover's Distance (EM…