Alexey Tsymbal

发表

Feature extraction for classification in the data mining process

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

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).

Bagging and Boosting with Dynamic Integration of Classifiers

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

Towards cloud-based image-integrated similarity search in big data

Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

PCA-based feature transformation for classification: issues in medical diagnostics

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2004 .

On the Use of Information Systems Research Methods in Datamining

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

Gridifying Biomedical Applications in the Health-e-Child Project

Richard McClatchey, Ashiq Anjum, Alexey Tsymbal, 2009 .

An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project

Richard McClatchey, Alexey Tsymbal, Sonja Zillner, 2008, SEMWEB.

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).

Hill-climbing feature selection for multi-stream ASR

Alexey Tsymbal, Nelson Morgan, David Gelbart, 2009, INTERSPEECH.

Feature Extraction for Classification in Knowledge Discovery Systems

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

Dynamic Integration of Decision Committees

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

A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions

Dorin Comaniciu, Alexey Tsymbal, Matthias Hammon, 2011, MCBR-CDS.

Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease

Nassir Navab, Dorin Comaniciu, Alexey Tsymbal, 2010, Medical Imaging.

Dynamic Integration of Classifiers in the Space of Principal Components

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

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

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

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

Alexey Tsymbal, A. Tsymbal, 2005 .

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.

Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

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

Discriminative distance functions and the patient neighborhood graph for clinical decision support.

Alexey Tsymbal, Shaohua Kevin Zhou, Martin Huber, 2010, Advances in experimental medicine and biology.

Ensemble clustering in medical diagnostics

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

Semantic Visualization of Patient Information

Alexey Tsymbal, Sonja Zillner, Tony Solomonides, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection

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

Feature Ontology for Improved Learning from Large-Dimensional Disease-Specific Heterogeneous Data

Alexey Tsymbal, Sonja Zillner, Martin Huber, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

Determination of lesions in image data of an object to be examined

Alexey Tsymbal, Michael Kelm, Peter Dankerl, 2014 .

Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections

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

Local dimensionality reduction within natural clusters for medical data analysis

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Learning Discriminative Distance Functions for Case Retrieval and Decision Support

Alexey Tsymbal, Shaohua Kevin Zhou, Martin Huber, 2010, Trans. Case Based Reason..

Forecasting system and forecasting methods

Alexey Tsymbal, Maria Jimena Costa, Martin Kramer, 2014 .

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).

Method and classification system for retrieving classification cases from a database

Alexey Tsymbal, Eugen Meissner, Martin Kramer, 2014 .

Feature Extraction for Dynamic Integration of Classifiers

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

A Dynamic Integration Algorithm for an Ensemble of Classifiers

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

Diversity in Ensemble Feature Selection

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

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.

Guest editorial for DKE special issue on "Biomedical Data Mining"

Mykola Pechenizkiy, Alexey Tsymbal, 2009, Data Knowl. Eng..

Diversity in search strategies for ensemble feature selection

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

Ensemble Feature Selection Based on the Contextual Merit

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

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2011, MICCAI.

On combining principal components with Fisher's linear discriminants for supervised learning

Mykola Pechenizkiy, S. Puuronen, Alexey Tsymbal, 2006 .

Dynamic Integration with Random Forests

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

Feature Selection for Ensembles of Simple Bayesian Classifiers

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

The problem of concept drift: definitions and related work

Alexey Tsymbal, A. Tsymbal, 2004 .

Does Relevance Matter to Data Mining Research?

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

Proceedings of CBMS 2012, the 25th IEEE symposium on computer-based medical systems : June 20th -22th, Rome, Italy

Mykola Pechenizkiy, Sameer Antani, Alexey Tsymbal, 2012, CBMS 2012.

Competitive advantage from data mining: some lessons learnt in the information systems field

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

Shape-based diagnosis of the aortic valve

Nassir Navab, Dorin Comaniciu, Alexey Tsymbal, 2009, Medical Imaging.

Local feature selection for heterogeneous problems

Alexey Tsymbal, Iryna Skrypnyk, Seppo Puuronen, 2000 .

Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices

Dorin Comaniciu, Alexey Tsymbal, Joachim Hornegger, 2011, MLMI.

Evaluation of novice reader diagnostic performance in coronary CT angiography using an advanced cardiac software package

Stephan Achenbach, Alexey Tsymbal, Peter Dankerl, 2013, International Journal of Computer Assisted Radiology and Surgery.

Eigenvector-Based Feature Extraction for Classification

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

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

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

The impact of sample reduction on PCA-based feature extraction for supervised learning

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, SAC '06.

A method for mass candidate detection and an application to liver lesion detection

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2011, Medical Imaging.

Dynamic integration of data mining methods in knowledge discovery systems

Alexey Tsymbal, A. Tsymbal, 2002 .

A Review of Explanation and Explanation in Case-Based Reasoning

Alexey Tsymbal, Dónal Doyle, Pádraig Cunningham, 2003 .

Visualizing Patient Similarity in Clinical Decision Support

Alexey Tsymbal, Shaohua Kevin Zhou, Sonja Zillner, 2007, LWA.

Local Feature Selection with Dynamic Integration of Classifiers

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

Knowledge discovery and computer-based decision support in biomedicine

Mykola Pechenizkiy, Alexey Tsymbal, Francesco Tortorella, 2010, Artif. Intell. Medicine.

Neighborhood graph and learning discriminative distance functions for clinical decision support

Alexey Tsymbal, Shaohua Kevin Zhou, Martin Huber, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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).

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

Padraig Cunningham, Alexey Tsymbal, Huicheng Zheng, 2006 .

PCA-based feature transformation for classification: issues in medical diagnostics

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner

Alexey Tsymbal, Shaohua Kevin Zhou, Martin Huber, 2009, LWA.

Advanced dynamic selection of diagnostic methods

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1998, Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237).

A method of providing a learning-based diagnostic support model for at least one diagnostic system

Alexey Tsymbal, Martin Kramer, Maria Jimena Costa, 2014 .

Proceedings of the 21st IEEE international symposium on Computer-based medical systems CBMS 2008, Jyväskylä, Finland, June 17-19, 2008

Mykola Pechenizkiy, S. Puuronen, Alexey Tsymbal, 2008, CBMS 2008.

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).

Diversity in Random Subspacing Ensembles

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

Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data

Alexey Tsymbal, Martin Huber, Torsten Schön, 2012, Intell. Data Anal..

Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control

Dorin Comaniciu, Alexey Tsymbal, B. Michael Kelm, 2012, Medical Imaging.

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.

Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data

Alexey Tsymbal, Martin Huber, Torsten Schön, 2010, RSCTC.

The decision support system for telemedicine based on multiple expertise

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1998, Int. J. Medical Informatics.

Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, IEEE Transactions on Information Technology in Biomedicine.

A Case-Based Technique for Tracking Concept Drift in Spam Filtering

Padraig Cunningham, Alexey Tsymbal, Sarah Jane Delany, 2004, SGAI Conf..

Dynamic Integration of Regression Models

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

Sequential Genetic Search for Ensemble Feature Selection

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

Distance functions in dynamic integration of data mining techniques

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 2000, SPIE Defense + Commercial Sensing.

Trends in computer-based medical systems

Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal, 2012, SIGH.

Feature Extraction for Classification in Knowledge

Alexey Tsymbal, A. Tsymbal, 2003 .

Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

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..

Towards more relevance-oriented data mining research

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

Ensemble clustering in medical diagnostics

Derek Greene, Alexey Tsymbal, Pádraig Cunningham, 2004 .

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

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

Dimensionality reduction for classification tasks modelling

David Patterson, Alexey Tsymbal, Mykola Pechenizkiy, 2002 .

Dynamic integration of classifiers for handling concept drift

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

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

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

Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2011, Medical Imaging.

Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2010, MICCAI.

Learning multiple linear manifolds with self-organizing networks

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

Ensemble feature selection with the simple Bayesian classification

Alexey Tsymbal, Seppo Puuronen, David W. Patterson, 2003, Inf. Fusion.

Random Subspacing for Regression Ensembles

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

Ontology - Supported Machine Learning and Decision Support in Biomedicine

Alexey Tsymbal, Sonja Zillner, Martin Huber, 2007, DILS.

Conference Committees

Victor Maojo, Mykola Pechenizkiy, Alexey Tsymbal, 2005, IWPC.

Decision Committee Learning with Dynamic Integration of Classifiers

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

A Technique for Advanced Dynamic Integration of Multiple Classifiers

Alexey Tsymbal, Seppo Puuronen, Vagan Terziyan, 2002 .

Why Data Mining Research Does Not Contribute to Business ?

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

Ensemble Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001 .