Alexey Tsymbal

77 papers A* 1A 1B 21C 6Misc 6Journal 16Unranked 25

Year	Rank	Type	Title / Venue / Authors
2014	J	`jnl`	Evaluation of novice reader diagnostic performance in coronary CT angiography using an advanced cardiac software package. Int. J. Comput. Assist. Radiol. Surg. Peter Dankerl, Matthias Hammon, Alexey Tsymbal, Alexander Cavallaro, Stephan Achenbach, Michael Uder, Rolf Janka
2014	—	`conf`	Towards cloud-based image-integrated similarity search in big data. BHI Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, Martin Kramer
2012	J	`jnl`	Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data. Intell. Data Anal. Torsten Schön, Alexey Tsymbal, Martin Huber
2012	—	`conf`	Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. Computer-Aided Diagnosis Michael Wels, B. Michael Kelm, Alexey Tsymbal, Matthias Hammon, Grzegorz Soza, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
2012	B	`ed.`	Proceedings of CBMS 2012, The 25th IEEE International Symposium on Computer-Based Medical Systems, June 20-22, 2012, Rome, Italy CBMS Paolo Soda, Francesco Tortorella, Sameer K. Antani, Mykola Pechenizkiy, Mario Cannataro, Alexey Tsymbal
2012	J	`jnl`	Trends in computer-based medical systems. SIGHIT Rec. Paolo Soda, Sameer K. Antani, Francesco Tortorella, Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal
2011	—	`conf`	A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions. MCBR-CDS María Jimena Costa, Alexey Tsymbal, Matthias Hammon, Alexander Cavallaro, Michael Sühling, Sascha Seifert, Dorin Comaniciu
2011	—	`conf`	A method for mass candidate detection and an application to liver lesion detection. Computer-Aided Diagnosis María Jimena Costa, Alexey Tsymbal, William Nguatem, Michael Sühling, Shaohua Kevin Zhou, Dorin Comaniciu
2011	—	`conf`	Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices. MLMI Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Michaela Schmidt, Andreas Greiser, Edgar Mueller, Xiaoguang Lu, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu
2011	—	`conf`	Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. MICCAI (3) B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu
2011	—	`conf`	Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data. Image-Guided Procedures Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu
2010	—	`conf`	Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging. MICCAI (1) Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Silvia Schievano, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu
2010	—	`conf`	Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data. RSCTC Torsten Schön, Alexey Tsymbal, Martin Huber
2010	B	`ed.`	IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), Perth, Australia, October 12-15, 2010 CBMS Tharam S. Dillon, Daniel L. Rubin, William M. Gallagher, Amandeep S. Sidhu, Alexey Tsymbal
2010	J	`jnl`	Knowledge discovery and computer-based decision support in biomedicine. Artif. Intell. Medicine Paolo Soda, Mykola Pechenizkiy, Francesco Tortorella, Alexey Tsymbal
2010	—	`conf`	Learning Discriminative Distance Functions for Case Retrieval and Decision Support. ICDM (Workshops) Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
2010	J	`jnl`	Learning Discriminative Distance Functions for Case Retrieval and Decision Support. Trans. Case Based Reason. Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
2010	B	`conf`	Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease. Image Processing Ingmar Voigt, Dime Vitanovski, Razvan Ioan Ionasec, Alexey Tsymbal, Bogdan Georgescu, Shaohua Kevin Zhou, Martin Huber, Nassir Navab, Joachim Hornegger, Dorin Comaniciu
2009	J	`jnl`	Guest editorial for DKE special issue on "Biomedical Data Mining". Data Knowl. Eng. Mykola Pechenizkiy, Alexey Tsymbal
2009	A	`conf`	Hill-climbing feature selection for multi-stream ASR. INTERSPEECH David Gelbart, Nelson Morgan, Alexey Tsymbal
2009	B	`conf`	Shape-based diagnosis of the aortic valve. Image Processing Razvan Ioan Ionasec, Alexey Tsymbal, Dime Vitanovski, Bogdan Georgescu, Shaohua Kevin Zhou, Nassir Navab, Dorin Comaniciu
2009	—	`conf`	The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner. LWA Alexey Tsymbal, Gabor Rendes, Martin Huber, Shaohua Kevin Zhou
2008	Misc	`conf`	An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project. ISWC Tamas Hauer, Dmitri Rogulin, Sonja Zillner, Andrew Branson, Jetendr Shamdasani, Alexey Tsymbal, Martin Huber, Tony Solomonides, Richard McClatchey
2008	—	`ch.`	Does Relevance Matter to Data Mining Research?. Data Mining: Foundations and Practice Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2008	J	`jnl`	Dynamic integration of classifiers for handling concept drift. Inf. Fusion Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen
2008	B	`conf`	Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
2008	B	`conf`	Semantic Visualization of Patient Information. CBMS Sonja Zillner, Tamas Hauer, Dmitri Rogulin, Alexey Tsymbal, Martin Huber, Tony Solomonides
2008	J	`jnl`	Towards more relevance-oriented data mining research. Intell. Data Anal. Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2007	J	`jnl`	Feature Extraction for Dynamic Integration of Classifiers. Fundam. Informaticae Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson
2007	B	`conf`	Feature Ontology for Improved Learning from Large-Dimensional Disease-Specific Heterogeneous Data. CBMS Alexey Tsymbal, Sonja Zillner, Martin Huber
2007	J	`jnl`	Learning multiple linear manifolds with self-organizing networks. Int. J. Parallel Emergent Distributed Syst. Huicheng Zheng, Padraig Cunningham, Alexey Tsymbal
2007	—	`conf`	Ontology - Supported Machine Learning and Decision Support in Biomedicine. DILS Alexey Tsymbal, Sonja Zillner, Martin Huber
2007	—	`conf`	Visualizing Patient Similarity in Clinical Decision Support. LWA Alexey Tsymbal, Martin Huber, Sonja Zillner, Tamas Hauer, Shaohua Kevin Zhou
2006	Misc	`conf`	A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. FLAIRS Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal
2006	B	`conf`	Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. CBMS Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Oleksandr Pechenizkiy
2006	—	`conf`	Dynamic Integration with Random Forests. ECML Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
2006	B	`conf`	Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. CBMS Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen
2006	—	`conf`	Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field. DEXA Workshops Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
2006	J	`jnl`	Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis. IEEE Trans. Inf. Technol. Biomed. Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
2006	Misc	`conf`	The impact of sample reduction on PCA-based feature extraction for supervised learning. SAC Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2005	J	`jnl`	A case-based technique for tracking concept drift in spam filtering. Knowl. Based Syst. Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal, Lorcan Coyle
2005	—	`conf`	Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2005	J	`jnl`	Diversity in search strategies for ensemble feature selection. Inf. Fusion Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
2005	—	`conf`	Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement (LNCS Volume) Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova
2005	—	`conf`	Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova
2005	—	`conf`	Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
2005	B	`conf`	Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
2005	A*	`conf`	Sequential Genetic Search for Ensemble Feature Selection. IJCAI Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
2004	—	`conf`	A Case-Based Technique for Tracking Concept Drift in Spam Filtering. SGAI Conf. (Applications) Sarah Jane Delany, Pádraig Cunningham, Alexey Tsymbal, Lorcan Coyle
2004	B	`conf`	Diversity in Random Subspacing Ensembles. DaWaK Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
2004	—	`conf`	Dynamic Integration of Regression Models. Multiple Classifier Systems Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal
2004	B	`conf`	Ensemble Clustering in Medical Diagnostics. CBMS Derek Greene, Alexey Tsymbal, Nadia Bolshakova, Padraig Cunningham
2004	B	`conf`	PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
2004	Misc	`conf`	Random Subspacing for Regression Ensembles. FLAIRS Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal
2003	C	`conf`	Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson
2003	J	`jnl`	Ensemble feature selection with the simple Bayesian classification. Inf. Fusion Alexey Tsymbal, Seppo Puuronen, David W. Patterson
2003	B	`conf`	Feature Extraction for Classification in Knowledge Discovery Systems. KES Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2003	B	`conf`	Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen
2002	Misc	`conf`	Eigenvector-Based Feature Extraction for Classification. FLAIRS Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson
2002	B	`conf`	Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics. CBMS Alexey Tsymbal, Seppo Puuronen
2002	C	`conf`	Feature Selection for Ensembles of Simple Bayesian Classifiers. ISMIS Alexey Tsymbal, Seppo Puuronen, David W. Patterson
2001	B	`conf`	Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. IDA Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk
2001	C	`conf`	Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics. ADBIS Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal
2001	B	`conf`	Ensemble Feature Selection Based on the Contextual Merit. DaWaK Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal
2001	J	`jnl`	Local Feature Selection with Dynamic Integration of Classifiers. Fundam. Informaticae Seppo Puuronen, Alexey Tsymbal
2000	B	`conf`	Advanced Local Feature Selection in Medical Diagnostics. CBMS Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk
2000	—	`conf`	Bagging and Boosting with Dynamic Integration of Classifiers. PKDD Alexey Tsymbal, Seppo Puuronen
2000	—	`conf`	Decision Committee Learning with Dynamic Integration of Classifiers. ADBIS-DASFAA Alexey Tsymbal
2000	—	`conf`	Distance functions in dynamic integration of data mining techniques. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Seppo Puuronen, Alexey Tsymbal, Vagan Y. Terziyan
2000	Misc	`conf`	Dynamic Integration of Decision Committees. HiPC Alexey Tsymbal, Seppo Puuronen
2000	C	`conf`	Local Feature Selection with Dynamic Integration of Classifiers. ISMIS Alexey Tsymbal, Seppo Puuronen
1999	C	`conf`	A Dynamic Integration Algorithm for an Ensemble of Classifiers. ISMIS Seppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal
1999	C	`conf`	Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation. ADBIS Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
1999	—	`conf`	Dynamic integration of multiple data mining techniques in a knowledge discovery management system. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Seppo Puuronen, Vagan Y. Terziyan, Artyom Katasonov, Alexey Tsymbal
1999	B	`conf`	Learning Feature Selection for Medical Databases. CBMS Irina Skrypnik, Vagan Y. Terziyan, Seppo Puuronen, Alexey Tsymbal
1998	B	`conf`	Advanced Dynamic Selection of Diagnostic Methods. CBMS Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
1998	J	`jnl`	The decision support system for telemedicine based on multiple expertise. Int. J. Medical Informatics Vagan Y. Terziyan, Alexey Tsymbal, Seppo Puuronen