Mariusz Wrzesien

22 papers A* 4B 1C 1Journal 3Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Classification of SAX-like Time Series Bitmaps with Siamese Convolutional Neural Networks.
ISD
Mariusz Wrzesien, Milosz Wrzesien, Janusz Korniak
2024 J jnl
Time series classification with their image representation.
Neurocomputing
Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Mariusz Wrzesien
2023 — conf
Classification of Time Series Using FCM-Based Forecasting Models.
FUZZ
Milosz Wrzesien, Mariusz Wrzesien
2023 — conf
Time Series Classification Using Images: The Case Of SAX-Like Transformation.
ISD
Milosz Wrzesien, Mariusz Wrzesien, Wladyslaw Homenda
2022 — conf
Time Series Classification Using Images.
ISD
Wladyslaw Homenda, Agnieszka Jastrzebska, Mariusz Wrzesien
2022 B conf
Time Series Processing with Cognitive Maps. The Case of General Forecast Modeling for Time Series of Similar Nature.
FUZZ-IEEE
Milosz Wrzesien, Mariusz Wrzesien, Wladyslaw Homenda
2020 — conf
A Set of Nets Planarization for Electronic Devices' Physical Design Automation.
CSIT (1)
Roman P. Bazylevych, Mariusz Wrzesien, Lubov Bazylevych
2019 — conf
Power System Islanding by the Hierarchical Clustering.
CSIT (1)
Roman P. Bazylevych, Mariusz Wrzesien, Lubov Bazylevych
2019 J jnl
Prediction of the apple scab using machine learning and simple weather stations.
Comput. Electron. Agric.
Mariusz Wrzesien, Waldemar Treder, Krzysztof Klamkowski, Witold R. Rudnicki
2015 — ch.
All Relevant Feature Selection Methods and Applications.
Feature Selection for Data and Pattern Recognition
Witold R. Rudnicki, Mariusz Wrzesien, Wieslaw Paja
2013 J jnl
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data.
BMC Syst. Biol.
Agnieszka Podsiadlo, Mariusz Wrzesien, Wieslaw Paja, Witold R. Rudnicki, Bartek Wilczynski
2013 C conf
Melanoma important features selection using random forest approach.
HSI
Wieslaw Paja, Mariusz Wrzesien
2012 — conf
Classification of Voice Signals through Mining Unique Episodes in Temporal Information Systems: A Rough Set Approach.
CS&P
Krzysztof Pancerz, Wieslaw Paja, Mariusz Wrzesien, Jan Warchol
2012 A* conf
Decision Rules Development Using Set of Generic Operations Approach.
ICDM
Wieslaw Paja, Mariusz Wrzesien
2011 — conf
A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees.
RSKT
Mariusz Wrzesien, Wieslaw Paja, Krzysztof Pancerz
2011 — conf
Automatic System for Classification of Melanocytic Skin Lesions Based on Images Recognition.
ICMMI
Pawel Cudek, Wieslaw Paja, Mariusz Wrzesien
2011 A* conf
Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles.
ICDM
Jerzy Gomula, Wieslaw Paja, Krzysztof Pancerz, Teresa Mroczek, Mariusz Wrzesien
2011 — conf
Image Recognition System for Diagnosis Support of Melanoma Skin Lesion.
SIIS
Pawel Cudek, Wieslaw Paja, Mariusz Wrzesien
2011 A* conf
Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem.
ICDM
Wieslaw Paja, Mariusz Wrzesien
2010 — conf
A New Hybrid Method of Generation of Decision Rules Using the Constructive Induction Mechanism.
RSKT
Wieslaw Paja, Krzysztof Pancerz, Mariusz Wrzesien
2010 A* conf
Medical Datasets Analysis: A Constructive Induction Approach.
ICDM
Wieslaw Paja, Mariusz Wrzesien
2005 — conf
Classification of Medical Images in the Domain of Melanoid Skin Lesions.
CORES
Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Piotr Blajdo, Maksymilian Knap, Teresa Mroczek, Wieslaw Paja, Mariusz Wrzesien