Advanced Dynamic Selection of Diagnostic Methods. - Alexey Tsymbal; Seppo Puuronen; Vagan Y. Terziyan (CBMS, 1998)

The decision support system for telemedicine based on multiple expertise. - Vagan Y. Terziyan; Alexey Tsymbal; Seppo Puuronen (Int. J. Medical Informatics, 1998)

Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation. - Alexey Tsymbal; Seppo Puuronen; Vagan Y. Terziyan (ADBIS, 1999)

Learning Feature Selection for Medical Databases. - Irina Skrypnik; Vagan Y. Terziyan; Seppo Puuronen; Alexey Tsymbal (CBMS, 1999)

Dynamic integration of multiple data mining techniques in a knowledge discovery management system. - Seppo Puuronen; Vagan Y. Terziyan; Artyom Katasonov; Alexey Tsymbal (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 1999)

A Dynamic Integration Algorithm for an Ensemble of Classifiers. - Seppo Puuronen; Vagan Y. Terziyan; Alexey Tsymbal (ISMIS, 1999)

Decision Committee Learning with Dynamic Integration of Classifiers. - Alexey Tsymbal (ADBIS-DASFAA, 2000)

Advanced Local Feature Selection in Medical Diagnostics. - Seppo Puuronen; Alexey Tsymbal; Iryna Skrypnyk (CBMS, 2000)

Distance functions in dynamic integration of data mining techniques. - Seppo Puuronen; Alexey Tsymbal; Vagan Y. Terziyan (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2000)

Dynamic Integration of Decision Committees. - Alexey Tsymbal; Seppo Puuronen (HiPC, 2000)

Bagging and Boosting with Dynamic Integration of Classifiers. - Alexey Tsymbal; Seppo Puuronen (PKDD, 2000)

Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics. - Seppo Puuronen; Iryna Skrypnyk; Alexey Tsymbal (ADBIS, 2001)

Ensemble Feature Selection Based on the Contextual Merit. - Seppo Puuronen; Iryna Skrypnyk; Alexey Tsymbal (DaWaK, 2001)

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. - Seppo Puuronen; Alexey Tsymbal; Iryna Skrypnyk (IDA, 2001)

Local Feature Selection with Dynamic Integration of Classifiers. - Seppo Puuronen; Alexey Tsymbal (Fundam. Informaticae, 2001)

Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics. - Alexey Tsymbal; Seppo Puuronen (CBMS, 2002)

Eigenvector-Based Feature Extraction for Classification. - Alexey Tsymbal; Seppo Puuronen; Mykola Pechenizkiy; Matthias Baumgarten; David W. Patterson (FLAIRS, 2002)

Feature Selection for Ensembles of Simple Bayesian Classifiers. - Alexey Tsymbal; Seppo Puuronen; David W. Patterson (ISMIS, 2002)

Dynamic Integration of Classifiers in the Space of Principal Components. - Alexey Tsymbal; Mykola Pechenizkiy; Seppo Puuronen; David W. Patterson (ADBIS, 2003)

Search Strategies for Ensemble Feature Selection in Medical Diagnostics. - Alexey Tsymbal; Padraig Cunningham; Mykola Pechenizkiy; Seppo Puuronen (CBMS, 2003)

Feature Extraction for Classification in Knowledge Discovery Systems. - Mykola Pechenizkiy; Seppo Puuronen; Alexey Tsymbal (KES, 2003)

Ensemble feature selection with the simple Bayesian classification. - Alexey Tsymbal; Seppo Puuronen; David W. Patterson (Inf. Fusion, 2003)

Ensemble Clustering in Medical Diagnostics. - Derek Greene; Alexey Tsymbal; Nadia Bolshakova; Padraig Cunningham (CBMS, 2004)

PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen (CBMS, 2004)

Diversity in Random Subspacing Ensembles. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (DaWaK, 2004)

Random Subspacing for Regression Ensembles. - Niall Rooney; David W. Patterson; Sarab S. Anand; Alexey Tsymbal (FLAIRS, 2004)

Dynamic Integration of Regression Models. - Niall Rooney; David W. Patterson; Sarab S. Anand; Alexey Tsymbal (Multiple Classifier Systems, 2004)

Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen (CBMS, 2005)

Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. - Mykola Pechenizkiy; Seppo Puuronen; Alexey Tsymbal (DEXA Workshops, 2005)

Knowledge Management Challenges in Knowledge Discovery Systems. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen (DEXA Workshops, 2005)

Sequential Genetic Search for Ensemble Feature Selection. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (IJCAI, 2005)

Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen; Michael A. Shifrin; Irina Alexandrova (Wissensmanagement (LNCS Volume), 2005)

Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections. - Alexey Tsymbal; Mykola Pechenizkiy; Seppo Puuronen; Michael A. Shifrin; Irina Alexandrova (Wissensmanagement, 2005)

Diversity in search strategies for ensemble feature selection. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (Inf. Fusion, 2005)

A case-based technique for tracking concept drift in spam filtering. - Sarah Jane Delany; Padraig Cunningham; Alexey Tsymbal; Lorcan Coyle (Knowl. Based Syst., 2005)

Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen; Oleksandr Pechenizkiy (CBMS, 2006)

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham; Seppo Puuronen (CBMS, 2006)

Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field. - Seppo Puuronen; Mykola Pechenizkiy; Alexey Tsymbal (DEXA Workshops, 2006)

Dynamic Integration with Random Forests. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (ECML, 2006)

A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. - Sarah Jane Delany; Padraig Cunningham; Alexey Tsymbal (FLAIRS, 2006)

The impact of sample reduction on PCA-based feature extraction for supervised learning. - Mykola Pechenizkiy; Seppo Puuronen; Alexey Tsymbal (SAC, 2006)

Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen (IEEE Trans. Inf. Technol. Biomed., 2006)

Feature Ontology for Improved Learning from Large-Dimensional Disease-Specific Heterogeneous Data. - Alexey Tsymbal; Sonja Zillner; Martin Huber 001 (CBMS, 2007)

Ontology - Supported Machine Learning and Decision Support in Biomedicine. - Alexey Tsymbal; Sonja Zillner; Martin Huber 001 (DILS, 2007)

Visualizing Patient Similarity in Clinical Decision Support. - Alexey Tsymbal; Martin Huber 001; Sonja Zillner; Tamas Hauer; Shaohua Kevin Zhou (LWA, 2007)

Feature Extraction for Dynamic Integration of Classifiers. - Mykola Pechenizkiy; Alexey Tsymbal; Seppo Puuronen; David W. Patterson (Fundam. Informaticae, 2007)

Learning multiple linear manifolds with self-organizing networks. - Huicheng Zheng; Padraig Cunningham; Alexey Tsymbal (Int. J. Parallel Emergent Distributed Syst., 2007)

Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. - Seppo Puuronen; Mykola Pechenizkiy; Alexey Tsymbal (CBMS, 2008)

Semantic Visualization of Patient Information. - Sonja Zillner; Tamas Hauer; Dmitri Rogulin; Alexey Tsymbal; Martin Huber 001; Tony Solomonides (CBMS, 2008)

An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project. - Tamas Hauer; Dmitri Rogulin; Sonja Zillner; Andrew Branson; Jetendr Shamdasani; Alexey Tsymbal; Martin Huber 001; Tony Solomonides; Richard McClatchey (ISWC, 2008)

Towards more relevance-oriented data mining research. - Mykola Pechenizkiy; Seppo Puuronen; Alexey Tsymbal (Intell. Data Anal., 2008)

Dynamic integration of classifiers for handling concept drift. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham; Seppo Puuronen (Inf. Fusion, 2008)

Does Relevance Matter to Data Mining Research?. - Mykola Pechenizkiy; Seppo Puuronen; Alexey Tsymbal (Data Mining: Foundations and Practice, 2008)

Hill-climbing feature selection for multi-stream ASR. - David Gelbart; Nelson Morgan; Alexey Tsymbal (INTERSPEECH, 2009)

The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner. - Alexey Tsymbal; Gabor Rendes; Martin Huber 001; Shaohua Kevin Zhou (LWA, 2009)

Shape-based diagnosis of the aortic valve. - Razvan Ioan Ionasec; Alexey Tsymbal; Dime Vitanovski; Bogdan Georgescu; Shaohua Kevin Zhou; Nassir Navab; Dorin Comaniciu (Image Processing, 2009)

Guest editorial for DKE special issue on "Biomedical Data Mining". - Mykola Pechenizkiy; Alexey Tsymbal (Data Knowl. Eng., 2009)

Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging. - Dime Vitanovski; Alexey Tsymbal; Razvan Ioan Ionasec; Bogdan Georgescu; Martin Huber 001; Andrew Mayall Taylor; Silvia Schievano; Shaohua Kevin Zhou; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2010)

Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease. - Ingmar Voigt; Dime Vitanovski; Razvan Ioan Ionasec; Alexey Tsymbal; Bogdan Georgescu; Shaohua Kevin Zhou; Martin Huber 001; Nassir Navab; Joachim Hornegger; Dorin Comaniciu (Image Processing, 2010)

Knowledge discovery and computer-based decision support in biomedicine. - Paolo Soda; Mykola Pechenizkiy; Francesco Tortorella; Alexey Tsymbal (Artif. Intell. Medicine, 2010)

Learning Discriminative Distance Functions for Case Retrieval and Decision Support. - Alexey Tsymbal; Martin Huber 001; Shaohua Kevin Zhou (Trans. Case Based Reason., 2010)

A method for mass candidate detection and an application to liver lesion detection. - María Jimena Costa; Alexey Tsymbal; William Nguatem; Michael Sühling; Shaohua Kevin Zhou; Dorin Comaniciu (Computer-Aided Diagnosis, 2011)

A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions. - María Jimena Costa; Alexey Tsymbal; Matthias Hammon; Alexander Cavallaro; Michael Sühling; Sascha Seifert; Dorin Comaniciu (MCBR-CDS, 2011)

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. - B. Michael Kelm; Sushil Mittal; Yefeng Zheng 001; Alexey Tsymbal; Dominik Bernhardt; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MICCAI (3), 2011)

Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices. - Dime Vitanovski; Alexey Tsymbal; Razvan Ioan Ionasec; Michaela Schmidt; Andreas Greiser; Edgar Mueller; Xiaoguang Lu; Gareth Funka-Lea; Joachim Hornegger; Dorin Comaniciu (MLMI, 2011)

Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data. - Dime Vitanovski; Alexey Tsymbal; Razvan Ioan Ionasec; Bogdan Georgescu; Shaohua Kevin Zhou; Joachim Hornegger; Dorin Comaniciu (Image-Guided Procedures, 2011)

Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. - Michael Wels; B. Michael Kelm; Alexey Tsymbal; Matthias Hammon; Grzegorz Soza; Michael Sühling; Alexander Cavallaro; Dorin Comaniciu (Computer-Aided Diagnosis, 2012)

Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data. - Torsten Schön; Alexey Tsymbal; Martin Huber 001 (Intell. Data Anal., 2012)

Trends in computer-based medical systems. - Paolo Soda; Sameer K. Antani; Francesco Tortorella; Mario Cannataro; Mykola Pechenizkiy; Alexey Tsymbal (SIGHIT Rec., 2012)

Towards cloud-based image-integrated similarity search in big data. - Alexey Tsymbal; Eugen Meissner; B. Michael Kelm; Martin Kramer (BHI, 2014)

Evaluation of novice reader diagnostic performance in coronary CT angiography using an advanced cardiac software package. - Peter Dankerl; Matthias Hammon; Alexey Tsymbal; Alexander Cavallaro; Stephan Achenbach; Michael Uder; Rolf Janka (Int. J. Comput. Assist. Radiol. Surg., 2014)