Wieslaw Paja

According to our database, Wieslaw Paja authored at least 35 papers between 2002 and 2023.

Collaborative distances:

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

2023

Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges.

Wieslaw Paja

Entropy, August, 2023

An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker.

Zozan Guleken, Pawel Jakubczyk, Wieslaw Paja, Krzysztof Pancerz, Agnieszka Wosiak, Ilhan Yaylim, Güldal Inal Gültekin, Nevzat Tarhan, Mehmet Tolgahan Hakan, Dilara Sönmez, Devrim Saribal, Soykan Arikan, Joanna Depciuch

Comput. Methods Programs Biomed., June, 2023

Determining Reference Spectra for Medical Diagnosis Using Clustering Methods.

Krzysztof Pancerz, Wieslaw Paja, Pawel Jakubczyk

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

A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images.

Wieslaw Paja, Jaroslaw Szkola, Krzysztof Pancerz, Jaromir Sarzynski, Magdalena zychowska

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

2022

Semantic segmentation of fetal heart components in second trimester echocardiography.

Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy

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

COVID-19 antibody level analysis with feature selection approach.

Wieslaw Paja, Krzysztof Pancerz, Catalin Stoean

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

2021

Identification of Relevant Medical Parameter Values in Information Systems using Fuzzy Approach.

Wieslaw Paja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

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

Wieslaw Paja, Krzysztof Pancerz, Barbara Pekala, Jaromir Sarzynski

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

A Constructive Induction of Feature using Random Forest Approach.

Wieslaw Paja, Maksymilian Knap

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019

Tree-based generational feature selection in medical applications.

Wieslaw Paja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

2018

Generational Feature Elimination and Some Other Ranking Feature Selection Methods.

Wieslaw Paja, Krzysztof Pancerz, Piotr Grochowalski

Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018

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

Krzysztof Pancerz, Wieslaw Paja, Jaromir Sarzynski, Jerzy Gomula

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

A Decision Rule Based Approach to Generational Feature Selection.

Wieslaw Paja

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

2017

Generational Feature Elimination to Find All Relevant Feature Subset.

Wieslaw Paja

Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Feature Selection Methods Applied to Severe Brain Damages Data.

Wieslaw Paja, Krzysztof Pancerz

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Random Forest Feature Selection for Data Coming from Evaluation Sheets of Subjects with ASDs.

Krzysztof Pancerz, Wieslaw Paja, Jerzy Gomula

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

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

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

Wieslaw Paja

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

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

Wieslaw Paja, Krzysztof Pancerz

Proceedings of the 24th International Workshop on Concurrency, 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

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

Krzysztof Pancerz, Wieslaw Paja, Jaroslaw Szkola, Jan Warchol, Grazyna Olchowik

Proceedings of the BIOSIGNALS 2012, 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

Infoscience technology: the impact of internet accessible melanoid data on health issues.

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

Data Sci. J., 2005

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

Wieslaw Paja, Zdzislaw S. Hippe

Proceedings of the Intelligent Information Processing and Web Mining, 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

2002

Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources.

Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja

Proceedings of the Intelligent Information Systems 2002, 2002