Przemyslaw Juszczuk

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Game-Theory Based Voting Schemas for Ensemble of Classifiers.

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[DOI]

Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

Identification of Users in a Gambling Problem with the Use of Machine Learning.

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[DOI]

Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023

Expected mean return - standard deviation efficient frontier approximation with low-cardinality portfolios in the presence of the risk-free asset.

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[DOI]

Int. Trans. Oper. Res., 2023

Dimensionality reduction for real sports data from the German Bundesliga and English Premier League.

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[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Goal-Oriented Classification of Football Results.

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[DOI]

Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Emotion Detection from Text in Social Networks.

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[DOI]

Barbara Probierz

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

Goal-Oriented Classification Measure Based on the Game Theory Concepts.

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[DOI]

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022

Preference-Driven Classification Measure.

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[DOI]

Entropy, 2022

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

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[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Portfolio Investments in the Forex Market.

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[DOI]

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

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

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[DOI]

Int. J. Inf. Manag., 2021

Real-World Data Difficulty Estimation with the Use of Entropy.

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[DOI]

Entropy, 2021

Adaptive Goal Function of Ant Colony Optimization in Fake News Detection.

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[DOI]

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

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

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[DOI]

Anita Hrabia

Proceedings of the Advances in Computational Collective Intelligence, 2021

2020

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

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[DOI]

Barbara Probierz

Neural Comput. Appl., 2020

Supporting Decisions on the Forex Market Using Fuzzy Approach.

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[DOI]

Lech Krus

J. Autom. Mob. Robotics Intell. Syst., 2020

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

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[DOI]

Entropy, 2020

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

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[DOI]

Data Knowl. Eng., 2020

Soft multicriteria computing supporting decisions on the Forex market.

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[DOI]

Lech Krus

Appl. Soft Comput., 2020

2019

Enhanced Symbolic Description in Analyzing Patterns and Volatility on the Forex Market.

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[DOI]

Vietnam. J. Comput. Sci., 2019

A novel approximate method of computing extended Nash equilibria.

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[DOI]

Appl. Soft Comput., 2019

Classification of the Symbolic Financial Data on the Forex Market.

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[DOI]

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

2018

Ant Colony Optimization Algorithms in the Problem of Predicting the Efficiency of the Bank Telemarketing Campaign.

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[DOI]

Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Investigating Patterns in the Financial Data with Enhanced Symbolic Description.

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[DOI]

Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

2017

Association ACDT as a tool for discovering the financial data rules.

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[DOI]

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Classification and Preprocessing in the Stock Data.

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[DOI]

Proceedings of the Business Information Systems Workshops, 2017

2015

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

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[DOI]

Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

2014

Finding Optimal Strategies in the Coordination Games.

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[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014

2013

Differential Evolution as a New Method of Computing Nash Equilibria.

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[DOI]

Trans. Comput. Collect. Intell., 2013

Selected Algorithms from the 2013 Toads-and-Frogs Blitz Tournament.

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J. Int. Comput. Games Assoc., 2013

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

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Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

2012

A new evolutionary approach for computing Nash equilibria in bimatrix games with known support.

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[DOI]

Central Eur. J. Comput. Sci., 2012

New Differential Evolution Selective Mutation Operator for the Nash Equilibria Problem.

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[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

2011

New Trends in Clobber Programming.

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[DOI]

J. Int. Comput. Games Assoc., 2011

Approximate Nash Equilibria in Bimatrix Games.

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[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

2010

Comparative Study of the Differential Evolution and Approximation Algorithms for Computing Optimal Mixed Strategies in Zero-Sum Games.

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[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010

2009

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

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[DOI]

Wojciech Froelich