2005 |
26 | EE | Sung Baik,
Jerzy W. Bala,
Ali Hadjarian,
Peter Pachowicz,
Ran Baik:
Moving Target Prediction Using Evolutionary Algorithms.
Canadian Conference on AI 2005: 217-221 |
25 | EE | Sung Baik,
Ju Cho,
Jerzy W. Bala:
Performance Evaluation of an Agent Based Distributed Data Mining System.
Canadian Conference on AI 2005: 25-32 |
24 | EE | Ju Sang Cho,
Sung Wook Baik,
Jerzy W. Bala:
Implementation of a Distributed Data Mining System.
International Conference on Computational Science (3) 2005: 1016-1019 |
23 | EE | Sung Baik,
Jerzy W. Bala,
Ali Hadjarian,
Peter Pachowicz,
Ju Sang Cho,
Seungbin Moon:
Visualization for Genetic Evolution of Target Movement in Battle Fields.
International Conference on Computational Science (3) 2005: 1064-1067 |
22 | EE | Sung Baik,
Jerzy W. Bala,
Yung Jo:
Distributed Visual Interfaces for Collaborative Exploration of Data Spaces.
KES (1) 2005: 887-892 |
2004 |
21 | EE | Sung Wook Baik,
Jerzy W. Bala,
Dae Woong Rhee:
An Agent Based Privacy Preserving Mining for Distributed Databases.
CIS 2004: 910-915 |
20 | EE | Sung Baik,
Jerzy W. Bala:
A Decision Tree Algorithm for Distributed Data Mining: Towards Network Intrusion Detection.
ICCSA (4) 2004: 206-212 |
19 | EE | Sung Baik,
Jerzy W. Bala,
Sung Ahn:
Visualizing Predictive Models in Decision Tree Generation.
ICCSA (4) 2004: 489-495 |
18 | EE | Sung Baik,
Jerzy W. Bala,
Ali Hadjarian,
Peter Pachowicz:
Genetic Evolution Approach for Target Movement Prediction.
International Conference on Computational Science 2004: 678-681 |
17 | EE | Sung Baik,
Jerzy W. Bala,
Ali Hadjarian,
Peter Pachowicz:
A Naïve Geography Analyst System with Cognitive Support of Imagery Exploitation.
MICAI 2004: 40-48 |
16 | EE | Sung Wook Baik,
Jerzy W. Bala,
Ju Sang Cho:
Agent Based Distributed Data Mining.
PDCAT 2004: 42-45 |
2002 |
15 | EE | Jerzy W. Bala,
Sung Baik,
Ali Hadjarian,
B. K. Gogia,
Chris Manthorne:
Application of a distributed data mining approach to network intrusion detection.
AAMAS 2002: 1419-1420 |
14 | EE | Jianping Zhang,
Jerzy W. Bala,
Philip S. Barry,
Theodore E. Meyer,
Sarah K. Johnson:
Mining Characteristic Rules for Understanding Simulation Data.
ICTAI 2002: 381-386 |
2001 |
13 | EE | Ali Hadjarian,
Jerzy W. Bala,
Peter Pachowicz:
Text Categorization through Multistrategy Learning and Visualization.
CICLing 2001: 437-443 |
1996 |
12 | | Jerzy W. Bala,
Peter Pachowicz,
Harry Wechsler:
Learning with Noise in Engineering Domains.
ISMIS 1996: 633-642 |
11 | | Jerzy W. Bala,
Kenneth DeJong,
Jeffrey Huang,
Haleh Vafaie,
Harry Wechsler:
Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts.
Evolutionary Computation 4(3): 297-311 (1996) |
10 | EE | Jerzy W. Bala,
Harry Wechsler:
Shape analysis using hybrid learning.
Pattern Recognition 29(8): 1323-1333 (1996) |
1995 |
9 | | Jerzy W. Bala,
Jeffrey Huang,
Haleh Vafaie,
Kenneth DeJong,
Harry Wechsler:
Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification.
IJCAI (1) 1995: 719-724 |
1993 |
8 | | Jerzy W. Bala,
Harry Wechsler:
Learning to Detect Targets Using Scale-Space and Genetic Search.
ICGA 1993: 516-522 |
7 | EE | Jerzy W. Bala,
Harry Wechsler:
Shape analysis using genetic algorithms.
Pattern Recognition Letters 14(12): 965-973 (1993) |
1992 |
6 | | Peter Pachowicz,
Jerzy W. Bala,
Jianping Zhang:
Iterative Rule Simplification for Noise Tolerant Inductive Learning.
ICTAI 1992: 452-453 |
5 | | Jerzy W. Bala,
Ryszard S. Michalski,
Janusz Wnek:
The Principal Axes Method for Constructive Induction.
ML 1992: 20-29 |
4 | | Jerzy W. Bala,
Peter Pachowicz:
Recognizing Noisy Patterns via Iterative Optimization and Matching of Their Descriptions.
IJPRAI 6(4): 513-537 (1992) |
1991 |
3 | | Jerzy W. Bala,
Kenneth DeJong,
Peter Pachowicz:
Using Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods.
ISMIS 1991: 286-295 |
2 | | Peter Pachowicz,
Jerzy W. Bala:
Improving Recognition Effectiveness of Noisy Texture Concepts.
ML 1991: 625-629 |
1990 |
1 | EE | Jerzy W. Bala:
Combining Structural and Statistical Features in a Machine Learning Technique for Texture Classification.
IEA/AIE (Vol. 1) 1990: 175-183 |