Seppo Puuronen - researchr alias

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Viewing Publication 1 - 74 from 74

2010

Towards the Generic Framework for Utility Considerations in Data Mining ResearchSeppo Puuronen, Mykola Pechenizkiy. In Carlos Soares, Rayid Ghani, editors, Data Mining for Business Applications. Volume 218 of Frontiers in Artificial Intelligence and Applications, pages 49-65, IOS Press, 2010. [doi]

A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional usersSeppo Puuronen, Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic. cbms 2010: 426-431 [doi]

2008

Ontological Framework for Students' Innovative ResearchTatiana Gavrilova, Seppo Puuronen. distintellsys 2008: 119-130

Does Relevance Matter to Data Mining Research?Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 251-275, Springer, 2008. [doi]

Towards more relevance-oriented data mining researchMykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal. ida, 12(2):237-249, 2008. [doi]

Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial ResistanceSeppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal. cbms 2008: 632-637 [doi]

Dynamic integration of classifiers for handling concept driftAlexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen. inffus, 9(1):56-68, 2008. [doi]

Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback EffectivenessEkaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy, Seppo Puuronen. icalt 2008: 834-838 [doi]

2007

2006

Evaluating Classifiers for Mobile-Masquerader DetectionOleksiy Mazhelis, Seppo Puuronen, Mika Raento. sec 2006: 271-283 [doi]

Estimating Accuracy of Mobile-Masquerader Detection Using Worst-Case and Best-Case ScenarioOleksiy Mazhelis, Seppo Puuronen, Mika Raento. icics 2006: 302-321 [doi]

Class Noise and Supervised Learning in Medical Domains: The Effect of Feature ExtractionMykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Oleksandr Pechenizkiy. cbms 2006: 708-713 [doi]

The impact of sample reduction on PCA-based feature extraction for supervised learningMykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal. SAC 2006: 553-558 [doi]

Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data AnalysisMykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen. titb, 10(3):533-539, 2006. [doi]

Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems FieldSeppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal. dexaw 2006: 579-583 [doi]

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial InfectionsAlexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen. cbms 2006: 679-684 [doi]

The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning SystemEkaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen. icalt 2006: 1143-1144 [doi]

2005

Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial InfectionsMykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova. wm 2005: 360-372 [doi]

Knowledge Management Challenges in Knowledge Discovery SystemsMykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen. dexaw 2005: 433-437 [doi]

Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems FieldMykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal. dexaw 2005: 733-737 [doi]

Local Dimensionality Reduction within Natural Clusters for Medical Data AnalysisMykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen. cbms 2005: 365-370 [doi]

Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial InfectionsAlexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova. wm 2005: 334-340

Towards the Framework of Adaptive User Interfaces for eHealthEkaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen. cbms 2005: 139-144 [doi]

Dynamic Reliability Indices for k-out-of-n Multi-State SystemElena N. Zaitseva, Vitaly G. Levashenko, K. Matiasko, Seppo Puuronen. ismvl 2005: 264-269 [doi]

2004

2003

2002

2001

Local Feature Selection with Dynamic Integration of ClassifiersSeppo Puuronen, Alexey Tsymbal. FUIN, 47(1-2):91-117, 2001.

Ensemble Feature Selection Based on Contextual Merit and Correlation HeuristicsSeppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal. adbis 2001: 155-168 [doi]

Ensemble Feature Selection Based on the Contextual MeritSeppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal. dawak 2001: 111-120 [doi]

Correlation-Based and Contextual Merit-Based Ensemble Feature SelectionSeppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk. ida 2001: 135-144 [doi]

Probabilistic Reasoning about Uncertain Relations between Temporal PointsVladimir Ryabov, Seppo Puuronen. rtas 2001: 35-40 [doi]

Learning Temporal Regularities of User Behavior for Anomaly DetectionAlexandr Seleznyov, Oleksiy Mazhelis, Seppo Puuronen. mmmacns 2001: 143-152 [doi]

Selection of Voice Features to Diagnose Hearing Impairments of ChildrenIryna Skrypnyk, Seppo Puuronen, Antony Grzanka, Agata Szkielkowska. cbms 2001: 427-432 [doi]

2000

Advanced Local Feature Selection in Medical DiagnosticsSeppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk. cbms 2000: 25 [doi]

Distance functions in dynamic integration of data mining techniquesSeppo Puuronen, Alexey Tsymbal, Vagan Y. Terziyan. dmkdttt 2000: 22-32 [doi]

Estimation of Uncertain Relations between Indeterminate Temporal PointsVladimir Ryabov, Seppo Puuronen. advis 2000: 108-116 [doi]

HIDSUR: A Hybrid Intrusion Detection System Based on Real-Time User RecognitionAlexandr Seleznyov, Seppo Puuronen. dexaw 2000: 41-45 [doi]

Bagging and Boosting with Dynamic Integration of ClassifiersAlexey Tsymbal, Seppo Puuronen. pkdd 2000: 116-125 [doi]

Local Feature Selection with Dynamic Integration of ClassifiersAlexey Tsymbal, Seppo Puuronen. ismis 2000: 417-425 [doi]

Dynamic Integration of Decision CommitteesAlexey Tsymbal, Seppo Puuronen. hipc 2000: 537-546 [doi]

1999

Handling Context-Sensitive Temporal Knowledge from Multiple Differently Ranked SourcesSeppo Puuronen, Helen Kaikova. ieaaie 1999: 688-697

A Dynamic Integration Algorithm for an Ensemble of ClassifiersSeppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal. ismis 1999: 592-600

A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of AgentsSeppo Puuronen, Vagan Y. Terziyan. cia 1999: 163-174 [doi]

Dynamic integration of multiple data mining techniques in a knowledge discovery management systemSeppo Puuronen, Vagan Y. Terziyan, Artyom Katasonov, Alexey Tsymbal. dmkdttt 1999: 128-141 [doi]

Knowledge Acquisition from Multiple Experts Based on Semantics of ConceptsSeppo Puuronen, Vagan Y. Terziyan. ekaw 1999: 259-273 [doi]

Mining Several Data Bases With an Ensemble of ClassifiersSeppo Puuronen, Vagan Y. Terziyan, Alexander Logvinovsky. DEXA 1999: 882-891 [doi]

A Similarity Evaluation Technique for Data Mining with an Ensemble of ClassifiersSeppo Puuronen, Vagan Y. Terziyan. dexaw 1999: 1155-1160 [doi]

Mining Several Data Bases with an Ensemble of ClassifiersSeppo Puuronen, Vagan Y. Terziyan, Alexander Logvinovsky. dexaw 1999: 218-222 [doi]

Representation and Reasoning with Uncertain Temporal RelationsVladimir Ryabov, Seppo Puuronen, Vagan Y. Terziyan. flairs 1999: 449-453

Anomaly Intrusion Detection Systems: Handling Temporal Relations Between EventsAlexandr Seleznyov, Seppo Puuronen. raid 1999: [doi]

Learning Feature Selection for Medical DatabasesIrina Skrypnik, Vagan Y. Terziyan, Seppo Puuronen, Alexey Tsymbal. cbms 1999: 53 [doi]

Knowledge Acquisition Based on Semantic Balance of Internal and External KnowledgeVagan Y. Terziyan, Seppo Puuronen. ieaaie 1999: 353-361

Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental InvestigationAlexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan. adbis 1999: 205-217 [doi]

1998

The decision support system for telemedicine based on multiple expertiseVagan Y. Terziyan, Alexey Tsymbal, Seppo Puuronen. ijmi, 49(2):217-229, 1998. [doi]

Advanced Dynamic Selection of Diagnostic MethodsAlexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan. cbms 1998: 50-54 [doi]

1997

Mobile information systems - executives viewSeppo Puuronen, Vesa Savolainen. isj, 7(1):3-20, 1997. [doi]

The Voting-Type Technique in the Refinement of Multiple Expert KnowledgeSeppo Puuronen, Vagan Y. Terziyan. hicss 1997: 287-296 [doi]

Decision support system for telemedicine based on multiple expertiseVagan Y. Terziyan, Seppo Puuronen, Mikko Kovalainen. cbms 1997: 8 [doi]

1996

Modeling Consensus Knowledge from Multiple Sources Based on Semantics of ConceptsSeppo Puuronen, Vagan Y. Terziyan. er 1996: 133-146 [doi]

1987

Direct Execution of an Extended Decision Grid ChartSeppo Puuronen. wi, 29(8/9):351-357, 1987.

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Publications by 'Seppo Puuronen'

Viewing Publication 1 - 74 from 74

2010

2008

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2005

2004

2003

2002

2001

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1999

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1996

1987

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