Wieslaw Paja

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 17

Top Topics

Semantic Segmentation

Medical Diagnosis

Feature Selection

Top Venues

Publications

Wieslaw Paja, Jaroslaw Szkola, Krzysztof Pancerz, Jaromir Sarzynski, Magdalena zychowska
A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images. KES (2023)
Wieslaw Paja
Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges. Entropy 25 (8) (2023)
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
An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker. Comput. Methods Programs Biomed. 234 (2023)
Krzysztof Pancerz, Wieslaw Paja, Pawel Jakubczyk
Determining Reference Spectra for Medical Diagnosis Using Clustering Methods. KES (2023)
Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy
Semantic segmentation of fetal heart components in second trimester echocardiography. KES (2022)
Wieslaw Paja, Krzysztof Pancerz, Catalin Stoean
COVID-19 antibody level analysis with feature selection approach. KES (2022)
Wieslaw Paja
Identification of Relevant Medical Parameter Values in Information Systems using Fuzzy Approach. KES (2021)
Wieslaw Paja, Krzysztof Pancerz, Barbara Pekala, Jaromir Sarzynski
Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning. FUZZ-IEEE (2021)
Wieslaw Paja, Maksymilian Knap
A Constructive Induction of Feature using Random Forest Approach. KES (2020)
Wieslaw Paja
Tree-based generational feature selection in medical applications. KES (2019)
Wieslaw Paja
A Decision Rule Based Approach to Generational Feature Selection. ICDM (2018)
Krzysztof Pancerz, Wieslaw Paja, Jaromir Sarzynski, Jerzy Gomula
Determining Importance of Ranges of MMPI Scales Using Fuzzification and Relevant Attribute Selection. KES (2018)
Wieslaw Paja
Generational Feature Elimination to Find All Relevant Feature Subset. KES-IDT (1) (2017)
Wieslaw Paja, Krzysztof Pancerz
Feature Selection Methods Applied to Severe Brain Damages Data. FedCSIS (2017)
Krzysztof Pancerz, Wieslaw Paja, Jerzy Gomula
Random Forest Feature Selection for Data Coming from Evaluation Sheets of Subjects with ASDs. FedCSIS (2016)
Wieslaw Paja
Medical diagnosis support and accuracy improvement by application of total scoring from feature selection approach. FedCSIS (2015)
Wieslaw Paja, Krzysztof Pancerz
Estimation and Feature Selection by Application of Knowledge Mined from Decision Rules Models. CS&P (2015)
Agnieszka Podsiadlo, Mariusz Wrzesien, Wieslaw Paja, Witold R. Rudnicki, Bartek Wilczynski
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data. BMC Syst. Biol. 7 (S-6) (2013)
Wieslaw Paja, Mariusz Wrzesien
Melanoma important features selection using random forest approach. HSI (2013)
Krzysztof Pancerz, Wieslaw Paja, Jaroslaw Szkola, Jan Warchol, Grazyna Olchowik
A Rule-based Classification of Laryngopathies based on Spectrum Disturbance Analysis - An Exemplary Study. BIOSIGNALS (2012)
Krzysztof Pancerz, Wieslaw Paja, Mariusz Wrzesien, Jan Warchol
Classification of Voice Signals through Mining Unique Episodes in Temporal Information Systems: A Rough Set Approach. CS&P (2012)
Wieslaw Paja, Mariusz Wrzesien
Decision Rules Development Using Set of Generic Operations Approach. ICDM (2012)
Pawel Cudek, Wieslaw Paja, Mariusz Wrzesien
Automatic System for Classification of Melanocytic Skin Lesions Based on Images Recognition. ICMMI (2011)
Jerzy Gomula, Wieslaw Paja, Krzysztof Pancerz, Teresa Mroczek, Mariusz Wrzesien
Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles. ICDM (2011)
Mariusz Wrzesien, Wieslaw Paja, Krzysztof Pancerz
A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees. RSKT (2011)
Wieslaw Paja, Mariusz Wrzesien
Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem. ICDM (2011)
Pawel Cudek, Wieslaw Paja, Mariusz Wrzesien
Image Recognition System for Diagnosis Support of Melanoma Skin Lesion. SIIS (2011)
Wieslaw Paja, Mariusz Wrzesien
Medical Datasets Analysis: A Constructive Induction Approach. ICDM (2010)
Wieslaw Paja, Krzysztof Pancerz, Mariusz Wrzesien
A New Hybrid Method of Generation of Decision Rules Using the Constructive Induction Mechanism. RSKT (2010)
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja
Infoscience technology: the impact of internet accessible melanoid data on health issues. Data Sci. J. 4 (2005)
Wieslaw Paja, Zdzislaw S. Hippe
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources. I. Implementation of generic operations. Intelligent Information Systems (2005)
Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Piotr Blajdo, Maksymilian Knap, Teresa Mroczek, Wieslaw Paja, Mariusz Wrzesien
Classification of Medical Images in the Domain of Melanoid Skin Lesions. CORES (2005)
Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources. Intelligent Information Systems (2002)