Mariusz Wrzesien

According to our database, Mariusz Wrzesien authored at least 21 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Time series classification with their image representation.

Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Mariusz Wrzesien

Neurocomputing, March, 2024

2023

Time Series Classification Using Images: The Case Of SAX-Like Transformation.

Milosz Wrzesien, Mariusz Wrzesien, Wladyslaw Homenda

Proceedings of the Information Systems Development: Organizational Aspects and Societal Trends (ISD2023 Proceedings), Lisbon, Portugal, 30 August, 2023

Classification of Time Series Using FCM-Based Forecasting Models.

Milosz Wrzesien, Mariusz Wrzesien

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Time Series Classification Using Images.

Wladyslaw Homenda, Agnieszka Jastrzebska, Mariusz Wrzesien

Proceedings of the Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings), Cluj-Napoca, Romania, 31 August, 2022

Time Series Processing with Cognitive Maps. The Case of General Forecast Modeling for Time Series of Similar Nature.

Milosz Wrzesien, Mariusz Wrzesien, Wladyslaw Homenda

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2020

A Set of Nets Planarization for Electronic Devices' Physical Design Automation.

Roman P. Bazylevych, Mariusz Wrzesien, Lubov Bazylevych

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

2019

Prediction of the apple scab using machine learning and simple weather stations.

Mariusz Wrzesien, Waldemar Treder, Krzysztof Klamkowski, Witold R. Rudnicki

Comput. Electron. Agric., 2019

Power System Islanding by the Hierarchical Clustering.

Roman P. Bazylevych, Mariusz Wrzesien, Lubov Bazylevych

Proceedings of the IEEE 14th International Conference on Computer Sciences and Information Technologies, 2019

2015

All Relevant Feature Selection Methods and Applications.

Witold R. Rudnicki, Mariusz Wrzesien, Wieslaw Paja

Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

2013

Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data.

Agnieszka Podsiadlo, Mariusz Wrzesien, Wieslaw Paja, Witold R. Rudnicki, Bartek Wilczynski

BMC Syst. Biol., 2013

Melanoma important features selection using random forest approach.

Wieslaw Paja, Mariusz Wrzesien

Proceedings of the 6th International Conference on Human System Interactions, 2013

2012

Decision Rules Development Using Set of Generic Operations Approach.

Wieslaw Paja, Mariusz Wrzesien

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Classification of Voice Signals through Mining Unique Episodes in Temporal Information Systems: A Rough Set Approach.

Krzysztof Pancerz, Wieslaw Paja, Mariusz Wrzesien, Jan Warchol

Proceedings of the 21th International Workshop on Concurrency, 2012

2011

A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees.

Mariusz Wrzesien, Wieslaw Paja, Krzysztof Pancerz

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem.

Wieslaw Paja, Mariusz Wrzesien

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles.

Jerzy Gomula, Wieslaw Paja, Krzysztof Pancerz, Teresa Mroczek, Mariusz Wrzesien

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Image Recognition System for Diagnosis Support of Melanoma Skin Lesion.

Pawel Cudek, Wieslaw Paja, Mariusz Wrzesien

Proceedings of the Security and Intelligent Information Systems, 2011

Automatic System for Classification of Melanocytic Skin Lesions Based on Images Recognition.

Pawel Cudek, Wieslaw Paja, Mariusz Wrzesien

Proceedings of the Man-Machine Interactions 2, 2011

2010

A New Hybrid Method of Generation of Decision Rules Using the Constructive Induction Mechanism.

Wieslaw Paja, Krzysztof Pancerz, Mariusz Wrzesien

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Medical Datasets Analysis: A Constructive Induction Approach.

Wieslaw Paja, Mariusz Wrzesien

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

2005

Classification of Medical Images in the Domain of Melanoid Skin Lesions.

Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Piotr Blajdo, Maksymilian Knap, Teresa Mroczek, Wieslaw Paja, Mariusz Wrzesien

Proceedings of the Computer Recognition Systems, 2005