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ORCIDKarol R. Opara
Person information
- affiliation: Polish Academy of Sciences, Warsaw, Poland
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2020 – today
- 2024
[j12]Marek Gajewski, Olgierd Hryniewicz
, Agnieszka Jastrzebska, Mariusz Kozakiewicz, Karol R. Opara, Jan W. Owsinski, Slawomir Zadrozny, Tomasz Zwierzchowski:
Data-driven human and bot recognition from web activity logs based on hybrid learning techniques. Digit. Commun. Networks 10(4): 1178-1188 (2024)- 2023
- [j11]Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Daniel Leite, Karol R. Opara, Weronika Radziszewska, Katarzyna Kaczmarek-Majer:
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - 2022
- [j10]Karol R. Opara, Pin Pin Oh:
Regularization and concave loss functions for estimation of chemical kinetic models. Appl. Soft Comput. 116: 108286 (2022) - [j9]Karol R. Opara, Karol Brzezinski, Marek Bukowicki, Katarzyna Kaczmarek-Majer:
Road Roughness Estimation Through Smartphone-Measured Acceleration. IEEE Intell. Transp. Syst. Mag. 14(2): 209-220 (2022) - [c11]Karol R. Opara:
Recent advances in global optimization of time-delayed systems. IS 2022: 1-3 - 2021
- [b1]Jan W. Owsinski, Jaroslaw Tomasz Stanczak, Karol R. Opara, Slawomir Zadrozny, Janusz Kacprzyk:
Reverse Clustering - Formulation, Interpretation and Case Studies. Studies in Computational Intelligence 957, Springer 2021, ISBN 978-3-030-69358-9, pp. 1-101 - 2020
- [j8]Anna Antosik-Wójcinska, Monika Dominiak, Magdalena Chojnacka, Katarzyna Kaczmarek-Majer, Karol R. Opara, Weronika Radziszewska, Anna Olwert, Lukasz Swiecicki:
Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling. Int. J. Medical Informatics 138: 104131 (2020) - [j7]Jaroslaw Arabas, Karol R. Opara:
Population Diversity of Nonelitist Evolutionary Algorithms in the Exploration Phase. IEEE Trans. Evol. Comput. 24(6): 1050-1062 (2020) - [c10]Karol R. Opara, Anas A. Hadi, Ali Wagdy Mohamed:
Parametrized Benchmarking: an outline of the idea and a feasibility study. GECCO Companion 2020: 197-198 - [c9]Karol R. Opara:
Radial model of differential evolution dynamics. GECCO Companion 2020: 323-324
2010 – 2019
- 2019
- [j6]Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer, Karol R. Opara:
Control charts based on fuzzy costs for monitoring short autocorrelated time series. Int. J. Approx. Reason. 114: 166-181 (2019) - [j5]Karol R. Opara, Jaroslaw Arabas:
Differential Evolution: A survey of theoretical analyses. Swarm Evol. Comput. 44: 546-558 (2019) - [j4]Karol R. Opara, Jaroslaw Arabas:
The contour fitting property of differential mutation. Swarm Evol. Comput. 50 (2019) - [c8]Olga Kaminska, Katarzyna Kaczmarek-Majer, Karol R. Opara, Wit Jakuczun, Monika Dominiak, Anna Antosik-Wójcinska, Lukasz Swiecicki, Olgierd Hryniewicz:
Self-organizing Maps Using Acoustic Features for Prediction of State Change in Bipolar Disorder. KR4HC/ProHealth/TEAAM@AIME 2019: 148-160 - 2018
- [j3]Karol R. Opara, Jaroslaw Arabas:
Comparison of mutation strategies in Differential Evolution - A probabilistic perspective. Swarm Evol. Comput. 39: 53-69 (2018) - [c7]Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz, Karol R. Opara, Weronika Radziszewska, Anna Olwert, Jan W. Owsinski, Slawomir Zadrozny:
Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder. SMPS 2018: 115-123 - 2017
- [c6]Jan W. Owsinski, Janusz Kacprzyk, Karol R. Opara, Jaroslaw Tomasz Stanczak, Slawomir Zadrozny:
Using a Reverse Engineering Type Paradigm in Clustering. An Evolutionary Programming Based Approach. Fuzzy Sets, Rough Sets, Multisets and Clustering 2017: 137-155 - 2016
- [j2]Karol R. Opara, Olgierd Hryniewicz:
Computation of general correlation coefficients for interval data. Int. J. Approx. Reason. 73: 56-75 (2016) - 2015
- [j1]Karol R. Opara:
Grammatical rhymes in Polish poetry: A quantitative analysis. Digit. Scholarsh. Humanit. 30(4): 589-598 (2015) - 2013
- [c5]Karol R. Opara, Jaroslaw Arabas:
Censoring mutation in differential evolution. SDE 2013: 54-60 - 2012
- [c4]Karol R. Opara, Jaroslaw Arabas:
Decomposition and Metaoptimization of Mutation Operator in Differential Evolution. ICAISC (SIDE-EC) 2012: 110-118 - [c3]Olgierd Hryniewicz, Karol R. Opara:
Efficient Calculation of Kendall's τ for Interval Data. SMPS 2012: 203-210 - 2011
- [c2]Jaroslaw Arabas, Lukasz Bartnik, Karol R. Opara:
DMEA - An algorithm that combines differential mutation with the fitness proportionate selection. SDE 2011: 49-56 - 2010
- [c1]Karol R. Opara, Jaroslaw Arabas:
Differential Mutation Based on Population Covariance Matrix. PPSN (1) 2010: 114-123
Coauthor Index
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