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Juszczuk, Przemyslaw Author

Using similarity measures in prediction of changes in financial market stream data-Experimental approach

  • Juszczuk P.
  • Kozak J.
  • Kania K.

DATA & KNOWLEDGE ENGINEERING - 1/1/2020

10.1016/j.datak.2019.101782

Cite count: 13 (Web of Science) 3 (Scopus)
  • SJR Quartile: Q2
  • JCR Impact Factor: 1.992 (2020)
  • CiteScore: 4.7 (2020)
  • SJR: 0.48 (2020
  • SNIP: 1.162 (2020
  • JCR 5-year Impact Factor: 2.086
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Information Systems and Management (Q2)

The hybrid ant colony optimization and ensemble method for solving the data stream e-mail foldering problem

  • Kozak J.
  • Juszczuk P.
  • Probierz B.

NEURAL COMPUTING & APPLICATIONS - 1/10/2020

10.1007/s00521-019-04672-1

Cite count: 1 (Web of Science) 1 (Scopus)
  • JCR Impact Factor: 5.606 (2020)
  • CiteScore: 7.3 (2020)
  • SJR: 0.713 (2020
  • SNIP: 1.784 (2020
  • JCR 5-year Impact Factor: 5.573
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management

  • Kozak J.
  • Kania K.
  • Juszczuk P.
  • Mitręga M.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT - 1/1/2021

10.1016/j.ijinfomgt.2021.102357

Cite count: 2 (Scopus)
  • JCR Impact Factor: 18.958 (2021)
  • CiteScore: 18.1 (2020)
  • SJR: 2.77 (2020
  • SNIP: 4.828 (2020
  • JCR 5-year Impact Factor: 16.58
  • JCR Categories: INFORMATION SCIENCE & LIBRARY SCIENCE
Open Access

Supporting decisions on the forex market using fuzzy approach

  • Juszczuk P.
  • Kruś L.

Journal of Automation, Mobile Robotics and Intelligent Systems - 1/1/2020

10.14313/jamris/2-2020/20

Cite count:
  • CiteScore: 0.9 (2020)
  • SJR: 0.137 (2020
  • SNIP: 0.615 (2020

Soft multicriteria computing supporting decisions on the Forex market

  • Juszczuk P.
  • Kruś L.

APPLIED SOFT COMPUTING - 1/11/2020

10.1016/j.asoc.2020.106654

Cite count: 9 (Web of Science) 1 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 6.725 (2020)
  • CiteScore: 11.2 (2020)
  • SJR: 1.29 (2020
  • SNIP: 2.472 (2020
  • JCR 5-year Impact Factor: 6.607
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Software (Q1)

SELECTED ALGORITHMS FROM THE 2013 TOADS-AND-FROGS BLITZ TOURNAMENT

  • Wieczorek W.
  • Skinderowicz R.
  • Kozak J.
  • Juszczuk P.
  • Nowakowski A.

ICGA JOURNAL - 1/12/2013

10.3233/icg-2013-36405

Cite count: 2 (Web of Science) 2 (Scopus)
  • SJR Quartile: Q2
  • CiteScore: 0.9 (2016)
  • SJR: 0.242 (2013
  • SNIP: 0.781 (2013
  • SJR Categories: Computer Science (miscellaneous) (Q2); Computer Graphics and Computer-Aided Design (Q3); Human-Computer Interaction (Q3); Computational Mechanics (Q4)
Open Access

Real-World Data Difficulty Estimation with the Use of Entropy

  • Juszczuk P.
  • Kozak J.
  • Dziczkowski G.
  • Głowania S.
  • Jach T.
  • Probierz B.

ENTROPY - 1/12/2021

10.3390/e23121621

Cite count: 11 (Web of Science)
  • JCR Impact Factor: 2.738 (2021)
  • JCR 5-year Impact Factor: 2.642
  • JCR Categories: PHYSICS, MULTIDISCIPLINARY
Open Access

Preference-Driven Classification Measure

  • Jan Kozak
  • Barbara Probierz
  • Krzysztof Kania
  • Przemysław Juszczuk

ENTROPY - 1/4/2022

10.3390/e24040531

Cite count: 8 (Web of Science)
  • JCR Impact Factor: 2.7 (2022)
  • JCR 5-year Impact Factor: 2.6
  • JCR Categories: PHYSICS, MULTIDISCIPLINARY

Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps - A Comparative Study

  • Froelich W.
  • Juszczuk P.

INTELLIGENT SYSTEMS FOR KNOWLEDGE MANAGEMENT - 1/12/2009

10.1007/978-3-642-04170-9_7

Cite count: 40 (Web of Science) 37 (Scopus)
  • SJR Quartile: Q4
  • CiteScore: 1.5 (2020)
  • SJR: 0.165 (2009
  • SNIP: 0.319 (2009
  • SJR Categories: Artificial Intelligence (Q4)
Open Access

Permutation Entropy as a Measure of Information Gain/Loss in the Different Symbolic Descriptions of Financial Data

  • Kozak J.
  • Kania K.
  • Juszczuk P.

ENTROPY - 1/3/2020

10.3390/e22030330

Cite count: 8 (Web of Science) 2 (Scopus)
  • JCR Impact Factor: 2.524 (2020)
  • JCR 5-year Impact Factor: 2.587
  • JCR Categories: PHYSICS, MULTIDISCIPLINARY
Open Access

Differential evolution as a new method of computing nash equilibria

  • Boryczka U.
  • Juszczuk P.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 14/3/2013

10.1007/978-3-642-36815-8_9

Cite count: 5 (Scopus)
  • CiteScore: 1.8 (2020)
  • SJR: 0.36 (2013
  • SNIP: 0.775 (2013
Open Access

Using differential evolution to find optimal mixed strategies in two players matrix games

  • Urszula B.
  • Przemyslaw J.

Mendel - 1/1/2010

Cite count: 1 (Scopus)
  • CiteScore: 0.9 (2020)
  • SJR: 0.179 (2010
  • SNIP: 0.238 (2010
Open Access

The Differential Evolution with the Entropy Based Population Size Adjustment for the Nash Equilibria Problem

  • Juszczuk P.
  • Boryczka U.

COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS - 1/12/2013

10.1007/978-3-642-40495-5_69

Cite count: 2 (Web of Science) 2 (Scopus)
  • CiteScore: 1.8 (2020)
  • SJR: 0.36 (2013
  • SNIP: 0.775 (2013

The ACDF Algorithm in the Stream Data Analysis for the Bank Telemarketing Campaign

  • Kozak J.
  • Juszczuk P.

2018 5TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI) - 2/7/2018

10.1109/iscmi.2018.8703246

Cite count: 1 (Web of Science) 1 (Scopus)
Open Access

Selecting the Efficient Market Indicators in the Trading System on the Forex Market

  • Juszczuk P.
  • Kruś L.

INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2018, PT III - 1/1/2019

10.1007/978-3-319-99993-7_12

Cite count:
  • SJR Quartile: Q3
  • CiteScore: 0.9 (2019)
  • SJR: 0.184 (2019
  • SNIP: 0.435 (2019
  • SJR Categories: Computer Science (miscellaneous) (Q3); Control and Systems Engineering (Q4)
Open Access

Portfolio Investments in the Forex Market

  • Juszczuk P.
  • Kozak J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2022

10.1007/978-3-031-21743-2_8

Cite count:
  • CiteScore: 2.1 (2021)

New Voting Schemas for Heterogeneous Ensemble of Classifiers in the Problem of Football Results Prediction

  • Glowania S.
  • Kozak J.
  • Juszczuk P.

Procedia Computer Science - 1/1/2022

10.1016/j.procs.2022.09.398

Cite count:
Open Access

New Differential Evolution Selective Mutation Operator for the Nash Equilibria Problem

  • Boryczka U.
  • Juszczuk P.

COMPUTATIONAL COLLECTIVE INTELLIGENCE - TECHNOLOGIES AND APPLICATIONS, PT II - 17/12/2012

10.1007/978-3-642-34707-8_47

Cite count:
  • CiteScore: 1.8 (2020)
  • SJR: 0.346 (2012
  • SNIP: 0.781 (2012
Open Access

Multi-start Differential Evolution Approach in the Process of Finding Equilibrium Points in the Covariant Games

  • Juszczuk P.

COMPUTATIONAL COLLECTIVE INTELLIGENCE (ICCCI 2015), PT II - 1/1/2015

10.1007/978-3-319-24306-1_14

Cite count:
  • CiteScore: 1.8 (2020)
  • SJR: 0.369 (2015
  • SNIP: 0.708 (2015

Machine Learning in the Context of COVID-19 Pandemic Data Analysis

  • Hrabia A.
  • Kozak J.
  • Juszczuk P.

Communications in Computer and Information Science - 1/1/2021

10.1007/978-3-030-88113-9_29

Cite count:
  • CiteScore: 0.8 (2020)
  • SJR: 0.16 (2020
  • SNIP: 0.32 (2020

Machine Learning and Multi-criteria Analysis on the Forex Market

  • Juszczuk P.
  • Kruś L.

Lecture Notes in Networks and Systems - 1/1/2024

10.1007/978-981-97-3562-4_16

Cite count:
  • CiteScore: 0.9 (2023)
  • SJR: 0.171 (2023
  • SNIP: 0.282 (2023

This author has no patents.

This author has no reports or other types of publications.

Scopus: 5

Web of Science: 7

Scopus: 1

Web of Science: 4

  • This author has no currently assigned projects.
Last data update: 12/28/24 5:44 AM
Next scheduled update: 1/4/25 3:00 AM