2008 |
30 | EE | Piotr Blajdo,
Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Maksymilian Knap,
Teresa Mroczek,
Lukasz Piatek:
A Comparison of Six Approaches to Discretization-A Rough Set Perspective.
RSKT 2008: 31-38 |
29 | EE | Zdzislaw S. Hippe,
Lukasz Piatek:
Synthesis of Static Medical Images - An Example of Melanocytic Skin Lesions.
Computer Recognition Systems 2 2008: 503-509 |
28 | EE | Barbara Kuczmowska,
Andrzej Burda,
Zdzislaw S. Hippe:
Prediction of Economic Situation of Small and Medium Enterprises Using Bayesian Network.
Computer Recognition Systems 2 2008: 802-807 |
27 | EE | Andrzej Burda,
Barbara Kuczmowska,
Zdzislaw S. Hippe:
Ensembles of Artificial Neural Networks for Predicting Economic Situation of Small and Medium Enterprises.
Computer Recognition Systems 2 2008: 808-815 |
26 | EE | Zdzislaw S. Hippe,
Jerzy W. Grzymala-Busse,
Lukasz Piatek:
Synthesis of Medical Images in the Domain of Melanocytic Skin Lesions.
Information Technologies in Biomedicine 2008: 225-231 |
2007 |
25 | EE | Jerzy W. Grzymala-Busse,
Witold J. Grzymala-Busse,
Zdzislaw S. Hippe,
Wojciech Rzasa:
A Comparison of Three Approximation Strategies for Incomplete Data Sets.
GrC 2007: 301-306 |
24 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Agnieszka Kordek,
Teresa Mroczek,
Wojciech Podraza:
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining.
RSFDGrC 2007: 289-296 |
23 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Teresa Mroczek:
Deriving Belief Networks and Belief Rules from Data: A Progress Report.
T. Rough Sets 7: 53-69 (2007) |
2005 |
22 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Data Mining Methods Supporting Diagnosis of Melanoma.
CBMS 2005: 371-373 |
21 | EE | 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 |
20 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Teresa Mroczek,
Edward Rój,
Boleslaw Skowronski:
Data Mining Experiments on Hop Processing Data.
HIS 2005: 175-180 |
19 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Teresa Mroczek,
Edward Rój,
Boleslaw Skowronski:
Data Mining Analysis of Granular Bed Caking during Hop Extraction.
ISDA 2005: 426-431 |
18 | | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Teresa Mroczek:
Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem.
Intelligent Information Systems 2005: 431-435 |
17 | | 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 |
16 | EE | 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) |
2004 |
15 | EE | Jerzy W. Grzymala-Busse,
Jay Hamilton,
Zdzislaw S. Hippe:
Diagnosis of Melanoma Using IRIM, a Data Mining System.
ICAISC 2004: 996-1001 |
14 | EE | Teresa Mroczek,
Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Rules from Belief Networks: A Rough Set Approach.
Rough Sets and Current Trends in Computing 2004: 483-487 |
13 | EE | Ron Andrews,
Stanislaw Bajcar,
Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe,
Chris Whiteley:
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System.
Rough Sets and Current Trends in Computing 2004: 630-636 |
2003 |
12 | | Stanislaw Bajcar,
Jerzy W. Grzymala-Busse,
Witold J. Grzymala-Busse,
Zdzislaw S. Hippe:
Diagnosis of Melanoma Based on Data Mining and ABCD Formulars.
HIS 2003: 614-622 |
11 | | Alison Alvarez,
Stanislaw Bajcar,
Frank M. Brown,
Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Optimization of the ABCD Formula Used for Melanoma Diagnosis.
IIS 2003: 233-240 |
2002 |
10 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Postprocessing of Rule Sets Induced from a Melanoma Data Set.
COMPSAC 2002: 1146-1151 |
9 | | Stanislaw Bajcar,
Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma.
Intelligent Information Systems 2002: 3-12 |
8 | | Zdzislaw S. Hippe,
Maksymilian Knap,
Wieslaw Paja:
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources.
Intelligent Information Systems 2002: 361-364 |
7 | EE | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
A Search for the Best Data Mining Method to Predict Melanoma.
Rough Sets and Current Trends in Computing 2002: 538-545 |
2001 |
6 | EE | Jan P. Grzymala-Busse,
Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Melanoma Prediction Using Data Mining System LERS.
COMPSAC 2001: 615-620 |
5 | | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms.
Intelligent Information Systems 2001: 43-55 |
2000 |
4 | | Jerzy W. Grzymala-Busse,
Zdzislaw S. Hippe:
Data Mining Experiments with the Melanoma Data Set.
Intelligent Information Systems 2000: 27-34 |
1998 |
3 | EE | Zdzislaw S. Hippe:
Design and Application of an Intelligent Information System SCANKEE for Solving Selected Chemical Problems.
Computers & Chemistry 22(1): 133-140 (1998) |
1996 |
2 | EE | Zdzislaw S. Hippe:
Design and application of a new knowledge engineering tool for solving real-world problems.
Knowl.-Based Syst. 9(8): 509-515 (1996) |
1985 |
1 | EE | Zdzislaw S. Hippe:
Problem-solving methods in computer-aided organic structure determination.
Journal of Chemical Information and Computer Sciences 25(3): 344-350 (1985) |