| Approximate controllability of differential inclusions in Hilbert spaces K Rykaczewski Nonlinear Analysis: Theory, Methods & Applications, 2011 | 80 | 2011 |
| Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit M Meina, A Janusz, K Rykaczewski, D Ślęzak, B Celmer, A Krasuski 2015 Federated Conference on Computer Science and Information Systems …, 2015 | 35 | 2015 |
| Heart rate variability and accelerometry as classification tools for monitoring perceived stress levels—a pilot study on firefighters M Meina, E Ratajczak, M Sadowska, K Rykaczewski, J Dreszer, B Bałaj, ... Sensors 20 (10), 2834, 2020 | 33 | 2020 |
| On approximate controllability of functional impulsive evolution inclusions in a Hilbert space A Grudzka, K Rykaczewski Journal of Optimization Theory and Applications 166, 414-439, 2015 | 27 | 2015 |
| Zebra mussels’ behaviour detection, extraction and classification using wavelets and kernel methods P Przymus, K Rykaczewski, R Wiśniewski Future Generation Computer Systems 33, 81-89, 2014 | 11 | 2014 |
| Deep learning based open set acoustic scene classification Z Kwiatkowska, B Kalinowski, M Kośmider, K Rykaczewski arXiv preprint arXiv:2008.07247, 2020 | 9 | 2020 |
| Wegrzy nski, W.; Krasuski, A. Heart rate variability and accelerometry as classification tools for monitoring perceived stress levels—A pilot study on firefighters M Meina, E Ratajczak, M Sadowska, K Rykaczewski, J Dreszer, B Bałaj, ... Sensors 20, 2834, 2020 | 9 | 2020 |
| Systemy rozmyte i ich zastosowania K Rykaczewski URL: http://www-users. mat. umk. pl/~ mozgun/prace/duszek. pdf (дата …, 2006 | 9 | 2006 |
| supFunSim: Spatial Filtering Toolbox for EEG K Rykaczewski, J Nikadon, W Duch, T Piotrowski Neuroinformatics 19, 107-125, 2021 | 8 | 2021 |
| Application of wavelets and kernel methods to detection and extraction of behaviours of freshwater mussels P Przymus, K Rykaczewski, R Wiśniewski Future Generation Information Technology, 43-54, 2011 | 8 | 2011 |
| Model Fusion for Inertial-based Personal Dead Reckoning Systems M Meina, A Krasuski, K Rykaczewski Sensors Applications Symposium (SAS), 2015 IEEE, 2015 | 6 | 2015 |
| Towards robust framework for on-line human activity reporting using accelerometer readings M Meina, B Celmer, K Rykaczewski International Conference on Active Media Technology, 347-358, 2014 | 5 | 2014 |
| Position tracking using inertial and magnetic sensing aided by permanent magnet M Meina, K Rykaczewski, A Rutkowski 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 4 | 2016 |
| ToFFi–Toolbox for frequency-based fingerprinting of brain signals MK Komorowski, K Rykaczewski, T Piotrowski, K Jurewicz, ... Neurocomputing 544, 126236, 2023 | 3 | 2023 |
| An Algorithmic Way to Generate Simplexes for Topological Data Analysis. K Rykaczewski, P Wisniewski, K Stencel CS&P, 180-188, 2016 | 3 | 2016 |
| Controllability in dynamics of diffusion processes with nonlocal conditions L Malaguti, K Rykaczewski, V Taddei Mediterranean Journal of Mathematics 16, 1-28, 2019 | 1 | 2019 |
| Lessons learnt from designing indoor positioning system using 868 MHz radios and neural networks M Meina, B Celmer, K Rykaczewski 2015 Federated Conference on Computer Science and Information Systems …, 2015 | 1 | 2015 |
| Electronic device for managing task relating to processing of audio signal, and operation method therefor Z Kwiatkowska, M Matuszewski, M Kosmider, J Tkaczuk, K Rykaczewski US Patent App. 17/445,107, 2022 | | 2022 |
| Iterative Neural Networks with Bounded Weights T Piotrowski, K Rykaczewski arXiv preprint arXiv:1908.05982, 2019 | | 2019 |
| Sterowalność i aproksymacyjna sterowalność inkluzji ewolucyjnych K Rykaczewski | | 2018 |
Michał MeinaFaculty of Physics, Astronomy and Informatics, University of Nicolaus CopernicusZweryfikowany adres z fizyka.umk.pl
