Time series modeling and forecasting based on a Markov chain with changing transition matrices A Wilinski Expert Systems with Applications 133, 163-172, 2019 | 36 | 2019 |
Visual knowledge discovery and machine learning for investment strategy A Wilinski, B Kovalerchuk Cognitive Systems Research 44, 100-114, 2017 | 18 | 2017 |
A classification of countries and regions by degree of the spread of coronavirus based on statistical criteria A Wilinski, E Szwarc Expert systems with applications 172, 114654, 2021 | 12 | 2021 |
Study on the effectiveness of the investment strategy based on a classifier with rules adapted by machine learning A Wiliński, A Bera, W Nowicki, P Błaszyński International Scholarly Research Notices 2014 (1), 451849, 2014 | 10 | 2014 |
metoda grupowania argumentów w zadaniach zautomatyzowanej predykcji zachowań rynków finansowych A Wiliński | 10 | 2009 |
Mathematical modeling and estimation for next wave of COVID-19 in Poland MK Arti, A Wilinski Stochastic Environmental Research and Risk Assessment, 1-7, 2021 | 9 | 2021 |
A comparative study of the multiple intelligence profiles of first-year IT students and employed graduates A WILIŃSKI, L Kupracz Informatics in Education 19 (3), 491-517, 2020 | 9 | 2020 |
A study on the effectiveness of investment strategy based on the concept of pivot points levels using Matthews criterion A Wiliński, T Nyczaj, A Bera, P Błaszyński Journal of Theoretical and Applied Computer Science 7 (4), 42-55, 2013 | 9 | 2013 |
Prediction models of financial markets based on multiregression algorithms W Antoni Computer Science Journal of Moldova 56 (2), 178-188, 2011 | 8 | 2011 |
COVID-19: average time from infection to death in Poland, USA, India and Germany A Wiliński, Ł Kupracz, A Senejko, G Chrząstek Quality & Quantity 56 (6), 4729-4746, 2022 | 6 | 2022 |
COVID-19: Model for the spread of the epidemic in a given country allowing determining the phase of its advancement A Wilinski ResearchGate, 1-7, 2021 | 5 | 2021 |
Market trajectory recognition and trajectory prediction using Markov models P Klęsk, A Wiliński Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 5 | 2010 |
GMDH-based multiple prediction of financial markets A Wiliński, P Czapiewski, P Szczecińska Polish Journal of Environmental Studies 17 (3b), 73-78, 2008 | 5 | 2008 |
COVID-19: About the inequality of the territorial distribution of the number of deaths in the world and the indicator of the quality of epidemic management A Wilinski, MK Arti, L Kupracz | 4 | 2021 |
The investment strategy based on the difference of moving averages with parameters adapted by machine learning A Wiliński, M Zabłocki Soft Computing in Computer and Information Science, 207-225, 2015 | 4 | 2015 |
A fuzzy interval model for assessing patient status and treatment effectiveness using blood morphology A Wilinski, R Tadeusiewicz, A Piegat, G Bocewicz, A Skorzak, ... Healthcare Analytics 4, 100234, 2023 | 3 | 2023 |
Peer assessment as a method for measuring harmful internet use WW Koczkodaj, A Kowalczyk, M Mazurek, W Pedrycz, G Redlarski, ... MethodsX 11, 102249, 2023 | 3 | 2023 |
Interpretable Machine Learning forFinancial Applications B Kovalerchuk, E Vityaev, A Demin, A Wilinski Machine Learning for Data Science Handbook: Data Mining and Knowledge …, 2023 | 3 | 2023 |
COVID-19 Pandemic Severity Criterion Based on the Number of Deaths and the Uneven Distribution of These A Wilinski, MK Arti, L Kupracz IEEE Transactions on Computational Social Systems 10 (3), 1414-1420, 2022 | 3 | 2022 |
Investment funds management strategy based on polynomial regression in machine learning A Wiliński, A Smoliński, W Nowicki Intelligent Systems for Computer Modelling: Proceedings of the 1st European …, 2016 | 3 | 2016 |