Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification - Mateusz Pabian; Dominik Rzepka; Miroslaw Pawlak (CoRR, 2024)

Asymptotically Optimal Nonparametric Classification Rules for Spike Train Data - Miroslaw Pawlak; Mateusz Pabian; Dominik Rzepka (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

Bayes Risk Consistency of Nonparametric Classification Rules for Spike Trains Data - Miroslaw Pawlak; Mateusz Pabian; Dominik Rzepka (CoRR, 2023)

Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance - Mateusz Pabian; Dominik Rzepka; Miroslaw Pawlak (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Supervised Training of Siamese Spiking Neural Networks with Earth's Mover Distance - Mateusz Pabian; Dominik Rzepka; Miroslaw Pawlak (CoRR, 2022)

Electrocardiogram Quality Assessment with Autoencoder - Jan Garus; Mateusz Pabian; Marcin Wisniewski; Bartlomiej Sniezynski (Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III, 2021)