 | 2012 |
| 11 |  | 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: 458-461 |
| 2011 |
| 10 |  | 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: 121-133 |
| 9 |  | Wieslaw Paja,
Mariusz Wrzesien:
Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem.
ICDM 2011: 96-105 |
| 8 |  | 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: 89-94 |
| 7 |  | Pawel Cudek,
Wieslaw Paja,
Mariusz Wrzesien:
Image Recognition System for Diagnosis Support of Melanoma Skin Lesion.
SIIS 2011: 217-225 |
| 2010 |
| 6 |  | Wieslaw Paja,
Mariusz Wrzesien:
Medical Datasets Analysis: A Constructive Induction Approach.
ICDM 2010: 442-449 |
| 5 |  | Wieslaw Paja,
Krzysztof Pancerz,
Mariusz Wrzesien:
A New Hybrid Method of Generation of Decision Rules Using the Constructive Induction Mechanism.
RSKT 2010: 322-327 |
| 2005 |
| 4 |  | 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: 519-526 |
| 3 |  | 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: 461-465 |
| 2 |  | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Maksymilian Knap,
Wieslaw Paja:
Infoscience technology: the impact of internet accessible melanoid data on health issues.
Data Science Journal 4: 77-81 (2005) |
| 2002 |
| 1 |  | Zdzislaw S. Hippe,
Maksymilian Knap,
Wieslaw Paja:
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources.
Intelligent Information Systems 2002: 361-364 |