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Krzysztof Przybyszewski
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2020 – today
- 2024
- [j9]Yang Cao, Subhashri Alwarappan Ravisankar, A. Chandrasekar, Thirunavukkarasu Radhika, Krzysztof Przybyszewski:
Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure. J. Artif. Intell. Soft Comput. Res. 14(4): 373-385 (2024) - 2022
- [j8]Janusz T. Starczewski, Krzysztof Przybyszewski
, Aleksander Byrski, Eulalia Szmidt, Christian Napoli
:
A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems. J. Artif. Intell. Soft Comput. Res. 12(3): 197-206 (2022) - [j7]Marcin Zalasinski
, Lukasz Laskowski
, Tacjana Niksa-Rynkiewicz
, Krzysztof Cpalka
, Aleksander Byrski
, Krzysztof Przybyszewski
, Pawel Trippner
, Shi Dong
:
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. J. Artif. Intell. Soft Comput. Res. 12(4): 267-279 (2022) - 2021
- [j6]Ludmila Dymova
, Krzysztof Kaczmarek
, Pavel V. Sevastjanov
, Lukasz Sulkowski, Krzysztof Przybyszewski
:
An Approach to Generalization of the Intuitionistic Fuzzy Topsis Method in the Framework of Evidence Theory. J. Artif. Intell. Soft Comput. Res. 11(2): 157-175 (2021) - 2020
- [j5]Marcin Zalasinski
, Krystian Lapa, Krzysztof Cpalka, Krzysztof Przybyszewski
, Gary G. Yen
:
On-Line Signature Partitioning Using a Population Based Algorithm. J. Artif. Intell. Soft Comput. Res. 10(1): 5-13 (2020) - [j4]Marcin Zalasinski
, Krzysztof Cpalka, Lukasz Laskowski, Donald C. Wunsch, Krzysztof Przybyszewski
:
An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors. J. Artif. Intell. Soft Comput. Res. 10(3): 173-187 (2020) - [j3]Piotr Duda, Krzysztof Przybyszewski
, Lipo Wang:
A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment. J. Artif. Intell. Soft Comput. Res. 10(4): 287-298 (2020) - [c8]Marcin Gabryel
, Krzysztof Przybyszewski
:
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters. ICAISC (2) 2020: 325-335
2010 – 2019
- 2019
- [c7]Marcin Gabryel
, Krzysztof Przybyszewski
:
The Dynamically Modified BoW Algorithm Used in Assessing Clicks in Online Ads. ICAISC (2) 2019: 350-360 - [c6]Tomasz Galkowski
, Krzysztof Przybyszewski
:
A New Concept of Nonparametric Kernel Approach for Edge Detection. ICAISC (2) 2019: 361-370 - 2018
- [j2]Krzysztof Przybyszewski
, Honorata Sosnowska:
Comparing Results of Voting by Statistical Rank Tests. Trans. Comput. Collect. Intell. 31: 47-54 (2018) - [c5]Artur Starczewski
, Krzysztof Przybyszewski
:
Improvement of the Simplified Silhouette Validity Index. ICAISC (2) 2018: 433-444 - [c4]Piotr Dziwiñski, Lukasz Bartczuk, Krzysztof Przybyszewski
:
A Population Based Algorithm and Fuzzy Decision Trees for Nonlinear Modeling. ICAISC (2) 2018: 516-531 - [c3]Marcin Gabryel
, Robertas Damasevicius
, Krzysztof Przybyszewski
:
Application of the Bag-of-Words Algorithm in Classification the Quality of Sales Leads. ICAISC (1) 2018: 615-622 - 2016
- [j1]Krzysztof Przybyszewski
, Honorata Sosnowska:
Approval Voting as a Method of Prediction in Political Votings. Case of Polish Elections. Trans. Comput. Collect. Intell. 23: 17-28 (2016) - 2010
- [c2]Krzysztof Przybyszewski
:
AI Methods for a Prediction of the Pedagogical Efficiency Factors for Classical and e-Learning System. ICAISC (2) 2010: 638-644
2000 – 2009
- 2006
- [c1]Krzysztof Przybyszewski
:
A New Evaluation Method for E-Learning Systems. ICAISC 2006: 1209-1216
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