Wieslaw Paja

发表

Medical diagnosis support and accuracy improvement by application of total scoring from feature selection approach

Wieslaw Paja, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

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

Wieslaw Paja, Mariusz Wrzesien, 2011, ICDM.

Feature selection methods applied to severe brain damages data

Krzysztof Pancerz, Wieslaw Paja, K. Pancerz, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Determining Importance of Ranges of MMPI Scales Using Fuzzification and Relevant Attribute Selection

Krzysztof Pancerz, Wieslaw Paja, Jerzy Gomula, 2018, KES.

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.

A Decision Rule Based Approach to Generational Feature Selection

Wieslaw Paja, 2018, ICDM.

Decision Rules Development Using Set of Generic Operations Approach

Wieslaw Paja, Mariusz Wrzesien, 2012, ICDM.

A Constructive Induction of Feature using Random Forest Approach

Wieslaw Paja, Maksymilian Knap, Wieslaw Paja, 2020, KES.

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

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

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.

A preliminary attempt to rules generation for mental disorders

Krzysztof Pancerz, Wieslaw Paja, Jaroslaw Szkola, 2010, 3rd International Conference on Human System Interaction.

Generational Feature Elimination and Some Other Ranking Feature Selection Methods

Krzysztof Pancerz, Wieslaw Paja, Piotr Grochowalski, 2018, Advances in Feature Selection for Data and Pattern Recognition.

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).

Random forest feature selection for data coming from evaluation sheets of subjects with ASDs

Krzysztof Pancerz, Wieslaw Paja, Jerzy Gomula, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

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.

A Rule-based Classification of Laryngopathies based on Spectrum Disturbance Analysis - An Exemplary Study

Krzysztof Pancerz, Wieslaw Paja, Jaroslaw Szkola, 2012, BIOSIGNALS.

All Relevant Feature Selection Methods and Applications

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

Estimation and Feature Selection by Application of Knowledge Mined from Decision Rules Models

Krzysztof Pancerz, Wieslaw Paja, K. Pancerz, 2015, CS&P.

Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources. I. Implementation of generic operations

Wieslaw Paja, Zdzislaw S. Hippe, 2005, Intelligent Information Systems.

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.

Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources

Wieslaw Paja, Zdzislaw S. Hippe, Maksymilian Knap, 2002, Intelligent Information Systems.

Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning

Krzysztof Pancerz, Wieslaw Paja, Barbara Pekala, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Rule-Based Analysis of MMPI Data Using the Copernicus System

Krzysztof Pancerz, Wieslaw Paja, Jaroslaw Szkola, 2012 .

Diagnosing skin melanoma: current versus future directions

Jerzy W. Grzymala-Busse, Wieslaw Paja, Zdzislaw S. Hippe, 2003 .