| Deep learning classifier for fall detection based on IR distance sensor data S Jankowski, Z Szymański, U Dziomin, P Mazurek, J Wagner Computer Systems for Healthcare and Medicine, 169-192, 2022 | 27 | 2022 |
| Computer-aided morphological analysis of holter ECG recordings based on support vector learning system S Jankowski, A Oreziak, A Skorupski, H Kowalski, Z Szymanski, ... Computers in Cardiology, 2003, 597-600, 2003 | 24 | 2003 |
| Data-driven models in machine learning for crime prediction ZM Wawrzyniak, S Jankowski, E Szczechla, Z Szymański, R Pytlak, ... 2018 26th International Conference on Systems Engineering (ICSEng), 1-8, 2018 | 22 | 2018 |
| Improved recognition of sustained ventricular tachycardia from SAECG by support vector machine. S Jankowski, Z Szymanski, E Piatkowska-Janko, A Oreziak Anatolian Journal of Cardiology/Anadolu Kardiyoloji Dergisi 7, 2007 | 17 | 2007 |
| Przyczynek do diagnostyki stanu technicznego izolatorów przepustowych transformatorów M Kaźmierski, Z Szymański Międzynarodowa konferencja transformatorowa, Transformator, 99-111, 2009 | 10 | 2009 |
| Neural network classifier for fall detection improved by Gram-Schmidt variable selection S Jankowski, Z Szymański, P Mazurek, J Wagner 2015 IEEE 8th International Conference on Intelligent Data Acquisition and …, 2015 | 9 | 2015 |
| Deep learning classifier based on NPCA and orthogonal feature selection S Jankowski, Z Szymański, U Dziomin, V Golovko, A Barcz Photonics Applications in Astronomy, Communications, Industry, and High …, 2016 | 5 | 2016 |
| Computer analysis of electrocardiograms: Validation with the CSE database H Kowalski, A Skorupski, Z Szymański, P Jędrasik, D Wojciechowski 2 International Congress Polish Cardiac Society 49 (Sup. 1), 156, 1998 | 5 | 1998 |
| Feature selection and mapping of data from short amino acid sequences S Jankowski, M Dwulit, Z Szymański Institute of Computer Science Research Report 2010 (2), 1-30, 2010 | 4 | 2010 |
| Semi-supervised least-squares support vector classifier based on virtual leave one out residuals S Jankowski, Z Szymański, E Piatkowska-Janko International Workshop on Pattern Recognition in Information Systems 1, 71-80, 2009 | 4 | 2009 |
| Selection of neural network for crime time series prediction by virtual leave-one-out tests S Jankowski, Z Szymański, Z Wawrzyniak, P Cichosz, E Szczechla, ... Theory and Applications of Time Series Analysis: Selected Contributions from …, 2019 | 3 | 2019 |
| Implementation of reversible gates in FPGA structure M Pawłowski, Z Szymański Photonics Applications in Astronomy, Communications, Industry, and High …, 2017 | 3 | 2017 |
| Modeling Engineering-Geological Layers by k-nn and Neural Networks S Jankowski, A Hrechka, Z Szymański, G Ryżyński Neural Networks and Artificial Intelligence: 8th International Conference …, 2014 | 3 | 2014 |
| Reconstruction of environment model by using radar vector field histograms Z Szymański, S Jankowski, J Szczyrek Photonics Applications in Astronomy, Communications, Industry, and High …, 2012 | 3 | 2012 |
| Metoda tworzenia modelu otoczenia z pomiarów Radarowego Detektora Przeszkód S JaNkoWSkI, Z SZymańSkI, JN SZcZyrek, J Graffstein Prace Instytutu Lotnictwa, 20-30, 2012 | 3 | 2012 |
| Cellular neural network learning using multilayer perceptron M Vinyoles-Serra, S Jankowski, Z Szymanski 2011 20th European Conference on Circuit Theory and Design (ECCTD), 214-217, 2011 | 3 | 2011 |
| Transductive Support Vector Machines for Risk Recognition of Sustained Ventricular Tachycardia and Flicker after Myocardial Infarction S Jankowski, E Piątkowska-Janko, Z Szymański, A Oręziak International Workshop on Pattern Recognition in Information Systems 2, 161-170, 2007 | 3 | 2007 |
| Przyszłość Unii Europejskiej: Polski punkt widzenia: materiały konferencji zorganizowanej przez Ministerstwo Spraw Zagranicznych i Kolegium Ekonomiczno-Społeczne Szkoły Głównej … J Barcz, K Żukrowska, S Kamler, E Rothert, Z Szymański Ministerstwo Spraw Zagranicznych, 2001 | 3 | 2001 |
| Environment model for unmanned flying vehicles based on simulated radar data M Pawłowski, Z Szymański Photonics Applications in Astronomy, Communications, Industry, and High …, 2012 | 2 | 2012 |
| Prediction of protein phosphorylation sites using classification trees and SVM classifier P Betkier, Z Szymański Photonics Applications in Astronomy, Communications, Industry, and High …, 2011 | 2 | 2011 |
Ewa Piątkowska-JankoPolitechnika WarszawskaVerified email at ire.pw.edu.pl
