Jerzy W. Bala

37 papers A* 1A 1B 5C 5Misc 3Journal 5Unranked 16
YearRankTypeTitle / Venue / Authors
2012 — conf
Comparison of data classification methods for predictive ranking of banks exposed to risk of failure.
CIFEr
Charles A. Worrell, Shaun M. Brady, Jerzy W. Bala
2010 — conf
Distributed Data Mining System Based on Multi-agent Communication Mechanism.
KES-AMSTA (2)
Sung Gook Kim, Kyeong Deok Woo, Jerzy W. Bala, Sung Wook Baik
2010 — ch.
Ranking Cases with Classification Rules.
Preference Learning
Jianping Zhang, Jerzy W. Bala, Ali Hadjarian, Brent Han
2005 — conf
Distributed Visual Interfaces for Collaborative Exploration of Data Spaces.
KES (1)
Sung Baik, Jerzy W. Bala, Yung Jo
2005 Misc conf
Implementation of a Distributed Data Mining System.
International Conference on Computational Science (3)
Ju Sang Cho, Sung Wook Baik, Jerzy W. Bala
2005 — conf
Moving Target Prediction Using Evolutionary Algorithms.
Canadian AI
Sung Baik, Jerzy W. Bala, Ali Hadjarian, Peter Pachowicz, Ran Baik
2005 — conf
Performance Evaluation of an Agent Based Distributed Data Mining System.
Canadian AI
Sung Baik, Ju Cho, Jerzy W. Bala
2005 Misc conf
Visualization for Genetic Evolution of Target Movement in Battle Fields.
International Conference on Computational Science (3)
Sung Baik, Jerzy W. Bala, Ali Hadjarian, Peter Pachowicz, Ju Sang Cho, Seungbin Moon
2004 — conf
A Decision Tree Algorithm for Distributed Data Mining: Towards Network Intrusion Detection.
ICCSA (4)
Sung Baik, Jerzy W. Bala
2004 — conf
A Naïve Geography Analyst System with Cognitive Support of Imagery Exploitation.
MICAI
Sung Baik, Jerzy W. Bala, Ali Hadjarian, Peter Pachowicz
2004 C conf
Agent Based Distributed Data Mining.
PDCAT
Sung Wook Baik, Jerzy W. Bala, Ju Sang Cho
2004 C conf
An Agent Based Privacy Preserving Mining for Distributed Databases.
CIS
Sung Wook Baik, Jerzy W. Bala, Dae Woong Rhee
2004 Misc conf
Genetic Evolution Approach for Target Movement Prediction.
International Conference on Computational Science
Sung Baik, Jerzy W. Bala, Ali Hadjarian, Peter Pachowicz
2004 — conf
Visualizing Predictive Models in Decision Tree Generation.
ICCSA (4)
Sung Baik, Jerzy W. Bala, Sung Ahn
2002 A conf
Application of a distributed data mining approach to network intrusion detection.
AAMAS
Jerzy W. Bala, Sung Baik, Ali Hadjarian, B. K. Gogia, Chris Manthorne
2002 B conf
Mining Characteristic Rules for Understanding Simulation Data.
ICTAI
Jianping Zhang, Jerzy W. Bala, Philip S. Barry, Theodore E. Meyer, Sarah K. Johnson
2001 C conf
Text Categorization through Multistrategy Learning and Visualization.
CICLing
Ali Hadjarian, Jerzy W. Bala, Peter Pachowicz
1998 — conf
Mammographic Region of Interest Database Retrieval and Indexing Engine.
Digital Mammography / IWDM
Srinivas Gutta, Jerzy W. Bala, Ali Hadjarian, Shirin Trachiotis, Peter Pachowicz, B. K. Gogia
1998 — conf
The Fusion of Supervised and Unsupervised Techniques for Segmentation of Abnormal Regions.
Digital Mammography / IWDM
Ali Hadjarian, Jerzy W. Bala, Srinivas Gutta, Shirin Trachiotis, Peter Pachowicz
1996 C conf
Learning with Noise in Engineering Domains.
ISMIS
Jerzy W. Bala, Peter Pachowicz, Harry Wechsler
1996 J jnl
Shape analysis using hybrid learning.
Pattern Recognit.
Jerzy W. Bala, Harry Wechsler
1996 J jnl
Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts.
Evol. Comput.
Jerzy W. Bala, Kenneth A. De Jong, Jeffrey Huang, Haleh Vafaie, Harry Wechsler
1996 B conf
Visual routine for eye detection using hybrid genetic architectures.
ICPR
Jerzy W. Bala, Kenneth A. De Jong, Jeffrey Huang, Haleh Vafaie, Harry Wechsler
1995 A* conf
Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification.
IJCAI (1)
Jerzy W. Bala, Jeffrey Huang, Haleh Vafaie, Kenneth A. De Jong, Harry Wechsler
1994 J jnl
A Noise-Tolerant Approach to Symbolic Learning from Sensory Data.
J. Intell. Fuzzy Syst.
Peter W. Pachowicz, Jerzy W. Bala
1993 — conf
Learning to Detect Targets Using Scale-Space and Genetic Search.
ICGA
Jerzy W. Bala, Harry Wechsler
1993 J jnl
Shape analysis using genetic algorithms.
Pattern Recognit. Lett.
Jerzy W. Bala, Harry Wechsler
1992 B conf
Iterative Rule Simplification for Noise Tolerant Inductive Learning.
ICTAI
Peter Pachowicz, Jerzy W. Bala, Jianping Zhang
1992 J jnl
Recognizing Noisy Patterns via Iterative Optimization and Matching of Their Descriptions.
Int. J. Pattern Recognit. Artif. Intell.
Jerzy W. Bala, Peter Pachowicz
1992 — conf
Robust shape analysis using multistrategy learning.
ICPR (2)
Jerzy W. Bala, Harry Wechsler
1992 — conf
The Principal Axes Method for Constructive Induction.
ML
Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek
1991 — conf
Improving Recognition Effectiveness of Noisy Texture Concepts.
ML
Peter Pachowicz, Jerzy W. Bala
1991 B conf
Learning textural concepts through multilevel symbolic transformations.
ICTAI
Jerzy W. Bala, Ryszard S. Michalski
1991 B conf
Shape analysis using morphological processing and genetic algorithms.
ICTAI
Jerzy W. Bala, Harry Wechsler
1991 C conf
Using Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods.
ISMIS
Jerzy W. Bala, Kenneth A. De Jong, Peter Pachowicz
1990 — conf
Combining Structural and Statistical Features in a Machine Learning Technique for Texture Classification.
IEA/AIE (Vol. 1)
Jerzy W. Bala
1990 — conf
Generation of feature detectors for texture discrimination by genetic search.
TAI
Jerzy W. Bala, Kenneth A. De Jong