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Alexey Tsymbal
2010 – today
- 2012
[j15]Torsten Schön, Alexey Tsymbal, Martin Huber: Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data. Intell. Data Anal. 16(5): 827-843 (2012)
[j14]Paolo Soda, Sameer Antani, Francesco Tortorella, Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal: Trends in computer-based medical systems. SIGHIT Record 2(2): 46-50 (2012)- 2011
[c48]B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu: Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. MICCAI (3) 2011: 25-32
[c47]María Jimena Costa, Alexey Tsymbal, Matthias Hammon, Alexander Cavallaro, Michael Sühling, Sascha Seifert, Dorin Comaniciu: A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions. MCBR-CDS 2011: 92-104
[c46]Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Michaela Schmidt, Andreas Greiser, Edgar Mueller, Xiaoguang Lu, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu: Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices. MLMI 2011: 282-290- 2010
[j13]Paolo Soda, Mykola Pechenizkiy, Francesco Tortorella, Alexey Tsymbal: Knowledge discovery and computer-based decision support in biomedicine. Artificial Intelligence in Medicine 49(3): 1-2 (2010)
[j12]Paolo Soda, Mykola Pechenizkiy, Francesco Tortorella, Alexey Tsymbal: Knowledge discovery and computer-based decision support in biomedicine. Artificial Intelligence in Medicine 50(1): 1-2 (2010)
[j11]Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou: Learning Discriminative Distance Functions for Case Retrieval and Decision Support. Tran. CBR 3(1): 1-16 (2010)
[c45]Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou: Learning Discriminative Distance Functions for Case Retrieval and Decision Support. Industrial Conference on Data Mining - Workshops 2010: 65-80
[c44]Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Silvia Schievano, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu: Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging. MICCAI (1) 2010: 460-467
[c43]Torsten Schön, Alexey Tsymbal, Martin Huber: Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data. RSCTC 2010: 217-226
[e1]Tharam S. Dillon, Daniel L. Rubin, William Gallagher, Amandeep S. Sidhu, Alexey Tsymbal (Eds.): IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), Perth, Australia, October 12-15, 2010. IEEE 2010, ISBN 978-1-4244-9167-4
2000 – 2009
- 2009
[j10]Mykola Pechenizkiy, Alexey Tsymbal: Guest editorial for DKE special issue on "Biomedical Data Mining". Data Knowl. Eng. 68(12): 1357-1358 (2009)
[c42]David Gelbart, Nelson Morgan, Alexey Tsymbal: Hill-climbing feature selection for multi-stream ASR. INTERSPEECH 2009: 2967-2970- 2008
[j9]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Towards more relevance-oriented data mining research. Intell. Data Anal. 12(2): 237-249 (2008)
[j8]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen: Dynamic integration of classifiers for handling concept drift. Information Fusion 9(1): 56-68 (2008)
[c41]Sonja Zillner, Tamas Hauer, Dmitri Rogulin, Alexey Tsymbal, Martin Huber, Tony Solomonides: Semantic Visualization of Patient Information. CBMS 2008: 296-301
[c40]Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal: Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS 2008: 632-637
[c39]Tamas Hauer, Dmitri Rogulin, Sonja Zillner, Andrew Branson, Jetendr Shamdasani, Alexey Tsymbal, Martin Huber, Tony Solomonides, Richard McClatchey: An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project. International Semantic Web Conference 2008: 737-750
[p1]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Does Relevance Matter to Data Mining Research?. Data Mining: Foundations and Practice 2008: 251-275- 2007
[j7]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson: Feature Extraction for Dynamic Integration of Classifiers. Fundam. Inform. 77(3): 243-275 (2007)
[j6]Huicheng Zheng, Padraig Cunningham, Alexey Tsymbal: Learning multiple linear manifolds with self-organizing networks. IJPEDS 22(6): 417-426 (2007)
[c38]Alexey Tsymbal, Sonja Zillner, Martin Huber: Feature Ontology for Improved Learning from Large-Dimensional Disease-Specific Heterogeneous Data. CBMS 2007: 595-600
[c37]Alexey Tsymbal, Sonja Zillner, Martin Huber: Ontology - Supported Machine Learning and Decision Support in Biomedicine. DILS 2007: 156-171
[c36]Alexey Tsymbal, Martin Huber, Sonja Zillner, Tamas Hauer, Shaohua Kevin Zhou: Visualizing Patient Similarity in Clinical Decision Support. LWA 2007: 304-311- 2006
[j5]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis. IEEE Transactions on Information Technology in Biomedicine 10(3): 533-539 (2006)
[c35]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen: Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. CBMS 2006: 679-684
[c34]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Oleksandr Pechenizkiy: Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. CBMS 2006: 708-713
[c33]Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal: Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field. DEXA Workshops 2006: 579-583
[c32]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Dynamic Integration with Random Forests. ECML 2006: 801-808
[c31]Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal: A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. FLAIRS Conference 2006: 340-345
[c30]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: The impact of sample reduction on PCA-based feature extraction for supervised learning. SAC 2006: 553-558- 2005
[j4]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in search strategies for ensemble feature selection. Information Fusion 6(1): 83-98 (2005)
[j3]Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal, Lorcan Coyle: A case-based technique for tracking concept drift in spam filtering. Knowl.-Based Syst. 18(4-5): 187-195 (2005)
[c29]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS 2005: 365-370
[c28]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops 2005: 433-437
[c27]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops 2005: 733-737
[c26]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Sequential Genetic Search for Ensemble Feature Selection. IJCAI 2005: 877-882
[c25]Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova: Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement 2005: 334-340
[c24]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova: Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement (LNCS Volume) 2005: 360-372- 2004
[c23]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS 2004: 535-
[c22]Derek Greene, Alexey Tsymbal, Nadia Bolshakova, Padraig Cunningham: Ensemble Clustering in Medical Diagnostics. CBMS 2004: 576-581
[c21]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in Random Subspacing Ensembles. DaWaK 2004: 309-319
[c20]Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal: Random Subspacing for Regression Ensembles. FLAIRS Conference 2004: 532-537
[c19]Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal: Dynamic Integration of Regression Models. Multiple Classifier Systems 2004: 164-173- 2003
[j2]Alexey Tsymbal, Seppo Puuronen, David W. Patterson: Ensemble feature selection with the simple Bayesian classification. Information Fusion 4(2): 87-100 (2003)
[c18]Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson: Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS 2003: 278-292
[c17]Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen: Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS 2003: 124-129
[c16]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Feature Extraction for Classification in Knowledge Discovery Systems. KES 2003: 526-532- 2002
[c15]Alexey Tsymbal, Seppo Puuronen: Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics. CBMS 2002: 225-230
[c14]Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson: Eigenvector-Based Feature Extraction for Classification. FLAIRS Conference 2002: 354-358
[c13]Alexey Tsymbal, Seppo Puuronen, David W. Patterson: Feature Selection for Ensembles of Simple Bayesian Classifiers. ISMIS 2002: 592-600- 2001
[j1]Seppo Puuronen, Alexey Tsymbal: Local Feature Selection with Dynamic Integration of Classifiers. Fundam. Inform. 47(1-2): 91-117 (2001)
[c12]Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal: Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics. ADBIS 2001: 155-168
[c11]Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal: Ensemble Feature Selection Based on the Contextual Merit. DaWaK 2001: 111-120
[c10]Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk: Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. IDA 2001: 135-144- 2000
[c9]Alexey Tsymbal: Decision Committee Learning with Dynamic Integration of Classifiers. ADBIS-DASFAA 2000: 265-278
[c8]Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk: Advanced Local Feature Selection in Medical Diagnostics. CBMS 2000: 25-
[c7]
[c6]Alexey Tsymbal, Seppo Puuronen: Local Feature Selection with Dynamic Integration of Classifiers. ISMIS 2000: 417-425
[c5]Alexey Tsymbal, Seppo Puuronen: Bagging and Boosting with Dynamic Integration of Classifiers. PKDD 2000: 116-125
1990 – 1999
- 1999
[c4]Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan: Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation. ADBIS 1999: 205-217
[c3]Irina Skrypnik, Vagan Y. Terziyan, Seppo Puuronen, Alexey Tsymbal: Learning Feature Selection for Medical Databases. CBMS 1999: 53-
[c2]Seppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal: A Dynamic Integration Algorithm for an Ensemble of Classifiers. ISMIS 1999: 592-600- 1998
[c1]Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan: Advanced Dynamic Selection of Diagnostic Methods. CBMS 1998: 50-54
Coauthor Index
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last updated on 2013-01-16 21:26 CET by the dblp team



