Mariusz Wrzesien

发表

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

Wieslaw Paja, Mariusz Wrzesien, 2011, ICDM.

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

Krzysztof Pancerz, Wieslaw Paja, Mariusz Wrzesien, 2011, RSKT.

Decision Rules Development Using Set of Generic Operations Approach

Wieslaw Paja, Mariusz Wrzesien, 2012, ICDM.

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

Krzysztof Pancerz, Wieslaw Paja, Mariusz Wrzesien, 2010, RSKT.

Spectral Image Recognition Using Artificial Dynamic Neural Network in Information Resonance Mode

Vasyl Lytvyn, Janusz Kolbusz, Janusz Korniak, 2021 .

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

Bartek Wilczynski, Wieslaw Paja, Witold R. Rudnicki, 2013, BMC Systems Biology.

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

Krzysztof Pancerz, Wieslaw Paja, Jan Warchol, 2012, CS&P.

Classification of Medical Images in the Domain of Melanoid Skin Lesions

Jerzy W. Grzymala-Busse, Wieslaw Paja, Teresa Mroczek, 2005, CORES.

A new decision rule optimization method in analyzing of medical datasets

Wieslaw Paja, Mariusz Wrzesien, Tomasz Pardela, 2010, 3rd International Conference on Human System Interaction.

Melanoma important features selection using random forest approach

Wieslaw Paja, Mariusz Wrzesien, 2013, 2013 6th International Conference on Human System Interactions (HSI).

Image Recognition System for Diagnosis Support of Melanoma Skin Lesion

Wieslaw Paja, Pawel Cudek, Mariusz Wrzesien, 2011, SIIS.

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

Wieslaw Paja, Pawel Cudek, Mariusz Wrzesien, 2011, ICMMI.

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

Waldemar Treder, Witold R. Rudnicki, Mariusz Wrzesien, 2019, Comput. Electron. Agric..

All Relevant Feature Selection Methods and Applications

Wieslaw Paja, Witold R. Rudnicki, Mariusz Wrzesien, 2015, Feature Selection for Data and Pattern Recognition.

Medical Datasets Analysis: A Constructive Induction Approach

Wieslaw Paja, Mariusz Wrzesien, 2010, ICDM.

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

Krzysztof Pancerz, Wieslaw Paja, Teresa Mroczek, 2011, ICDM.