A. Tsymbal

发表

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2006, ECML.

A case-based technique for tracking concept drift in spam filtering

Padraig Cunningham, Alexey Tsymbal, Sarah Jane Delany, 2004, Knowl. Based Syst..

Jyväskylä Studies in Computing 56 Supervised Learning in Knowledge Discovery Systems Feature Extraction for Feature Extraction for Supervised Learning in Knowledge Discovery Systems Feature Extraction for University of Jyväskylä Mykola Pechenizkiy Supervised Learning in Knowledge Discovery Systems

P. Kokol, T. Kärkkäinen, Mykola Pechenizkiy, 2005 .

Dynamic Integration of Data Mining Methods Using Selection in a Knowledge Discovery Management System

V. Terziyan, A. Tsymbal, S. Puuronen, 1999 .

Arbiter Meta-Learning with Dynamic Selection of Multiple Classifiers

A. Tsymbal, S. Puuronen, 1999 .

Flexible Arithmetic for Huge Numbers with Recursive Series of Operations

V. Terziyan, A. Tsymbal, S. Puuronen, 2002 .

2 Diversity in Ensemble Feature Selection

P. Cunningham, Mykola Pechenizkiy, A. Tsymbal, 2003 .

Feature Extraction for Classification in Knowledge

Alexey Tsymbal, A. Tsymbal, 2003 .

Local Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2001, Fundam. Informaticae.

Local feature selection for heterogeneous problems

Alexey Tsymbal, Iryna Skrypnyk, Seppo Puuronen, 2000 .

Adaptive Offset Subspace Self-Organizing Map: An Application to Handwritten Digit Recognition

Padraig Cunningham, Alexey Tsymbal, Huicheng Zheng, 2006 .

Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

On the Use of Information Systems Research Methods in Datamining

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

Dynamic integration of data mining methods in knowledge discovery systems

Alexey Tsymbal, A. Tsymbal, 2002 .

The problem of concept drift: definitions and related work

Alexey Tsymbal, A. Tsymbal, 2004 .

Ensemble clustering in medical diagnostics

Derek Greene, Padraig Cunningham, Alexey Tsymbal, 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

Dynamic integration of classifiers for handling concept drift

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Inf. Fusion.

Dynamic Integration of Classifiers for Tracking Concept Drift in Antibiotic Resistance Data

Alexey Tsymbal, Pádraig Cunningham, P. Cunningham, 2005 .

Learning multiple linear manifolds with self-organizing networks

Padraig Cunningham, Alexey Tsymbal, Huicheng Zheng, 2007, Int. J. Parallel Emergent Distributed Syst..

Towards more relevance-oriented data mining research

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Intell. Data Anal..

Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, 17th International Workshop on Database and Expert Systems Applications (DEXA'06).

A Review of Explanation and Explanation in Case-Based Reasoning

Alexey Tsymbal, Dónal Doyle, Pádraig Cunningham, 2003 .

Diversity in search strategies for ensemble feature selection

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2005, Inf. Fusion.

Feature Extraction for Classification in Knowledge Discovery Systems

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2003, KES.

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering

Padraig Cunningham, Alexey Tsymbal, Sarah Jane Delany, 2006, FLAIRS.

Knowledge Management Challenges in Knowledge Discovery Systems

A. Tsymbal, M. Pechenizkiy, S. Puuronen, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

Does Relevance Matter to Data Mining Research?

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Data Mining: Foundations and Practice.

Meta-Knowledge Management in MultiStrategy Process-Oriented Knowledge Discovery Systems

Alexey Tsymbal, A. Tsymbal, 2005 .

Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, Wissensmanagement.

Random Subspacing for Regression Ensembles

Alexey Tsymbal, Sarabjot S. Anand, David W. Patterson, 2004, FLAIRS.

Feature Extraction for Dynamic Integration of Classifiers

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2007, Fundam. Informaticae.

Sequential Genetic Search for Ensemble Feature Selection

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2005, IJCAI.

Dynamic Integration of Classifiers in the Space of Principal Components

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2003, ADBIS.

Search strategies for ensemble feature selection in medical diagnostics

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2003, 16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings..

Feature Selection for Ensembles of Simple Bayesian Classifiers

Alexey Tsymbal, Seppo Puuronen, David W. Patterson, 2002, ISMIS.

Ensemble feature selection with the simple Bayesian classification in medical diagnostics

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

Eigenvector-Based Feature Extraction for Classification

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2002, FLAIRS.

Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, ADBIS.

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, IDA.

Ensemble Feature Selection Based on the Contextual Merit

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, DaWaK.

Dynamic Integration of Decision Committees

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2000, HiPC.

Bagging and Boosting with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2000, PKDD.

Decision Committee Learning with Dynamic Integration of Classifiers

Alexey Tsymbal, A. Tsymbal, 2000, ADBIS-DASFAA.

Advanced local feature selection in medical diagnostics

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2000, Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000.

Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, ADBIS.

Learning feature selection for medical databases

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365).

A Dynamic Integration Algorithm for an Ensemble of Classifiers

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, ISMIS.

Dynamic integration of multiple data mining techniques in a knowledge discovery management system

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, Defense, Security, and Sensing.

Diversity in Ensemble Feature Selection

Padraig Cunningham, Alexey Tsymbal, P. Cunningham, 2003 .

Feature extraction for classification in the data mining process

Mykola Pechenizkiy, S. Puuronen, Alexey Tsymbal, 2003 .

Ensemble Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001 .

Dynamic Integration of Regression Models

Alexey Tsymbal, Sarabjot S. Anand, David W. Patterson, 2004, Multiple Classifier Systems.

Diversity in Random Subspacing Ensembles

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2004, DaWaK.