Alexey Tsymbal

According to our database, Alexey Tsymbal authored at least 71 papers between 1998 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, Martin Kramer

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2012

Trends in computer-based medical systems.

Paolo Soda, Sameer K. Antani, Francesco Tortorella, Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal

SIGHIT Rec., 2012

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

Torsten Schön, Alexey Tsymbal, Martin Huber

Intell. Data Anal., 2012

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

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

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

Proceedings of the Medical Imaging 2011: Visualization, 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

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

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

B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 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

Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2011

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

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010

Learning Discriminative Distance Functions for Case Retrieval and Decision Support.

Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou

Trans. Case Based Reason., 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 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, Nassir Navab, Joachim Hornegger, Dorin Comaniciu

Proceedings of the Medical Imaging 2010: Image Processing, 2010

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, Andrew Mayall Taylor, Silvia Schievano, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

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

Mykola Pechenizkiy, Alexey Tsymbal

Data Knowl. Eng., 2009

Shape-based diagnosis of the aortic valve.

Razvan Ioan Ionasec, Alexey Tsymbal, Dime Vitanovski, Bogdan Georgescu, Shaohua Kevin Zhou, Nassir Navab, Dorin Comaniciu

Proceedings of the Medical Imaging 2009: Image Processing, 2009

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

Alexey Tsymbal, Gabor Rendes, Martin Huber, Shaohua Kevin Zhou

Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Hill-climbing feature selection for multi-stream ASR.

David Gelbart, Nelson Morgan, Alexey Tsymbal

Proceedings of the INTERSPEECH 2009, 2009

2008

Does Relevance Matter to Data Mining Research?.

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal

Proceedings of the Data Mining: Foundations and Practice, 2008

Dynamic integration of classifiers for handling concept drift.

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen

Inf. Fusion, 2008

Towards more relevance-oriented data mining research.

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal

Intell. Data Anal., 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, Tony Solomonides, Richard McClatchey

Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Semantic Visualization of Patient Information.

Sonja Zillner, Tamas Hauer, Dmitri Rogulin, Alexey Tsymbal, Martin Huber, Tony Solomonides

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

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

Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007

Learning multiple linear manifolds with self-organizing networks.

Huicheng Zheng, Padraig Cunningham, Alexey Tsymbal

Int. J. Parallel Emergent Distributed Syst., 2007

Feature Extraction for Dynamic Integration of Classifiers.

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson

Fundam. Informaticae, 2007

Visualizing Patient Similarity in Clinical Decision Support.

Alexey Tsymbal, Martin Huber, Sonja Zillner, Tamas Hauer, Shaohua Kevin Zhou

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Ontology - Supported Machine Learning and Decision Support in Biomedicine.

Alexey Tsymbal, Sonja Zillner, Martin Huber

Proceedings of the Data Integration in the Life Sciences, 4th International Workshop, 2007

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

Alexey Tsymbal, Sonja Zillner, Martin Huber

Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

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

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

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

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

Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

Dynamic Integration with Random Forests.

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham

Proceedings of the Machine Learning: ECML 2006, 2006

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

Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal

Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 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

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Oleksandr Pechenizkiy

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

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

Diversity in search strategies for ensemble feature selection.

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham

Inf. Fusion, 2005

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

Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova

Proceedings of the WM 2005: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management, 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

Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005

Sequential Genetic Search for Ensemble Feature Selection.

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Knowledge Management Challenges in Knowledge Discovery Systems.

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen

Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field.

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal

Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis.

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004

Dynamic Integration of Regression Models.

Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Random Subspacing for Regression Ensembles.

Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Diversity in Random Subspacing Ensembles.

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham

Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics.

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

Ensemble Clustering in Medical Diagnostics.

Derek Greene, Alexey Tsymbal, Nadia Bolshakova, Padraig Cunningham

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003

Ensemble feature selection with the simple Bayesian classification.

Alexey Tsymbal, Seppo Puuronen, David W. Patterson

Inf. Fusion, 2003

Feature Extraction for Classification in Knowledge Discovery Systems.

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Search Strategies for Ensemble Feature Selection in Medical Diagnostics.

Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen

Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003

Dynamic Integration of Classifiers in the Space of Principal Components.

Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson

Proceedings of the Advances in Databases and Information Systems, 2003

2002

Feature Selection for Ensembles of Simple Bayesian Classifiers.

Alexey Tsymbal, Seppo Puuronen, David W. Patterson

Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Eigenvector-Based Feature Extraction for Classification.

Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics.

Alexey Tsymbal, Seppo Puuronen

Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001

Local Feature Selection with Dynamic Integration of Classifiers.

Seppo Puuronen, Alexey Tsymbal

Fundam. Informaticae, 2001

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection.

Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Ensemble Feature Selection Based on the Contextual Merit.

Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal

Proceedings of the Data Warehousing and Knowledge Discovery, 2001

Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics.

Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal

Proceedings of the Advances in Databases and Information Systems, 2001

2000

Bagging and Boosting with Dynamic Integration of Classifiers.

Alexey Tsymbal, Seppo Puuronen

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Dynamic Integration of Decision Committees.

Alexey Tsymbal, Seppo Puuronen

Proceedings of the High Performance Computing, 2000

Distance functions in dynamic integration of data mining techniques.

Seppo Puuronen, Alexey Tsymbal, Vagan Y. Terziyan

Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000

Advanced Local Feature Selection in Medical Diagnostics.

Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk

Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS 2000), 2000

Decision Committee Learning with Dynamic Integration of Classifiers.

Alexey Tsymbal

Proceedings of the Current Issues in Databases and Information Systems, 2000

1999

A Dynamic Integration Algorithm for an Ensemble of Classifiers.

Seppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal

Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

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

Seppo Puuronen, Vagan Y. Terziyan, Artyom Katasonov, Alexey Tsymbal

Proceedings of the Data Mining and Knowledge Discovery: Theory, 1999

Learning Feature Selection for Medical Databases.

Irina Skrypnik, Vagan Y. Terziyan, Seppo Puuronen, Alexey Tsymbal

Proceedings of the 12th IEEE Symposium on Computer-Based Medical Systems (CBMS '99). 18-20 June 1999, 1999

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

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan

Proceedings of the Advances in Databases and Information Systems, 1999

1998

The decision support system for telemedicine based on multiple expertise.

Vagan Y. Terziyan, Alexey Tsymbal, Seppo Puuronen

Int. J. Medical Informatics, 1998

Advanced Dynamic Selection of Diagnostic Methods.

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan

Proceedings of the 11th IEEE Symposium on Computer-Based Medical Systems (CBMS '98), 1998