Seppo Puuronen

发表

Ensemble feature selection with the simple Bayesian classification in medical diagnostics

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

Probabilistic reasoning about uncertain relations between temporal points

Seppo Puuronen, Vladimir Ryabov, 2001, Proceedings Eighth International Symposium on Temporal Representation and Reasoning. TIME 2001.

Bagging and Boosting with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2000, PKDD.

PCA-based feature transformation for classification: issues in medical diagnostics

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2004 .

On the Use of Information Systems Research Methods in Datamining

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

Combining One-Class Classifiers for Mobile-User Substitution Detection

Seppo Puuronen, Oleksiy Mazhelis, 2004, ICEIS.

COGNITIVE BIAS IN KNOWLEDGE ENGINEERING COURSE

Seppo Puuronen, Tatiana Gavrilova, 2007 .

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, 17th International Workshop on Database and Expert Systems Applications (DEXA'06).

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 1999, CIA.

Feature Extraction for Classification in Knowledge Discovery Systems

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2003, KES.

Dynamic Integration of Decision Committees

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2000, HiPC.

Dynamic Integration of Classifiers in the Space of Principal Components

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2003, ADBIS.

Feedback adaptation in web-based learning systems

Mykola Pechenizkiy, Seppo Puuronen, Pekka Räsänen, 2007 .

Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, Wissensmanagement.

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

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, Defense, Security, and Sensing.

Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, ADBIS.

Direct Execution of an Extended Decision Grid Chart

Seppo Puuronen, 1987, Angew. Inform..

Towards the framework of adaptive user interfaces for eHealth

Mykola Pechenizkiy, Seppo Puuronen, Ekaterina Vasilyeva, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

First Steps in Ontology Development: Knowledge Portal for Software Testers

Seppo Puuronen, Tatiana Gavrilova, Maria Alisova, 2009 .

Mobile information systems — executives' view

Seppo Puuronen, Vesa Savolainen, S. Puuronen, 1997, Inf. Syst. J..

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, IDA.

Selection of voice features to diagnose hearing impairments of children

Seppo Puuronen, Antony Grzanka, Iryna Skrypnyk, 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, Wissensmanagement.

Local dimensionality reduction within natural clusters for medical data analysis

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

Modelling Dependencies Between Classifiers in Mobile Masquerader Detection

Seppo Puuronen, Jari Veijalainen, Oleksiy Mazhelis, 2004, ICICS.

Feature Extraction for Dynamic Integration of Classifiers

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2007, Fundam. Informaticae.

A Dynamic Integration Algorithm for an Ensemble of Classifiers

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, ISMIS.

The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System

Mykola Pechenizkiy, Seppo Puuronen, Ekaterina Vasilyeva, 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

Learning Temporal Regularities of User Behavior for Anomaly Detection

Seppo Puuronen, Oleksiy Mazhelis, Alexandr Seleznyov, 2001, MMM-ACNS.

Mining Several Data Bases With an Ensemble of Classifiers

Seppo Puuronen, Vagan Y. Terziyan, Alexander Logvinovsky, 1999, DEXA.

Ensemble Feature Selection Based on the Contextual Merit

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, DaWaK.

The voting-type technique in the refinement of multiple expert knowledge

Seppo Puuronen, Vagan Y. Terziyan, 1997, Proceedings of the Thirtieth Hawaii International Conference on System Sciences.

Feature Selection for Ensembles of Simple Bayesian Classifiers

Alexey Tsymbal, Seppo Puuronen, David W. Patterson, 2002, ISMIS.

Estimation of Uncertain Relations between Indeterminate Temporal Points

Seppo Puuronen, Vladimir Ryabov, 2000, ADVIS.

Does Relevance Matter to Data Mining Research?

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Data Mining: Foundations and Practice.

Competitive advantage from data mining: some lessons learnt in the information systems field

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

Comparing Classifier Combining Techniques for Mobile-Masquerader Detection

Seppo Puuronen, Oleksiy Mazhelis, 2007, The Second International Conference on Availability, Reliability and Security (ARES'07).

Eigenvector-Based Feature Extraction for Classification

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2002, FLAIRS.

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, SAC '06.

Local Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2001, Fundam. Informaticae.

Learning feature selection for medical databases

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365).

The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System

Seppo Puuronen, Mykola Pechenizkiy, E. Vasilyev, 2006 .

Handling Context-Sensitive Temporal Knowledge from Multiple Differently Ranked Sources

Seppo Puuronen, Helen Kaikova, 1999, IEA/AIE.

PCA-based feature transformation for classification: issues in medical diagnostics

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

A framework for behavior-based detection of user substitution in a mobile context

Seppo Puuronen, Oleksiy Mazhelis, O. Mazhelis, 2007, Comput. Secur..

Decision support system for telemedicine based on multiple expertise

Seppo Puuronen, Vagan Y. Terziyan, Mikko Kovalainen, 1997, Proceedings of Computer Based Medical Systems.

Advanced dynamic selection of diagnostic methods

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1998, Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237).

Personalization of Immediate Feedback to Learning Styles

Mykola Pechenizkiy, Seppo Puuronen, Tatiana Gavrilova, 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

A Multi-Expert Based Approach to Continuous Authentication of Mobile-Device Users

Seppo Puuronen, Oleksiy Mazhelis, Alexandr Seleznyov, 2002, Certification and Security in E-Services.

Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events

Seppo Puuronen, Alexandr Seleznyov, 1999, Recent Advances in Intrusion Detection.

A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional users

Mykola Pechenizkiy, Aleksandra Tesanovic, Seppo Puuronen, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

Modeling Consensus Knowledge from Multiple Sources Based on Semantics of Concepts

Seppo Puuronen, Vagan Y. Terziyan, 1996, ER Workshop Challenges of Application and Challenges of Design.

Estimating Accuracy of Mobile-Masquerader Detection Using Worst-Case and Best-Case Scenario

Mika Raento, Seppo Puuronen, Oleksiy Mazhelis, 2006, ICICS.

HIDSUR: a hybrid intrusion detection system based on real-time user recognition

Seppo Puuronen, Alexandr Seleznyov, 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

Representation and Reasoning with Uncertain Temporal Relations

Seppo Puuronen, Vladimir Ryabov, Vagan Y. Terziyan, 1999, FLAIRS.

Advanced local feature selection in medical diagnostics

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2000, Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000.

The decision support system for telemedicine based on multiple expertise

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1998, Int. J. Medical Informatics.

Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, IEEE Transactions on Information Technology in Biomedicine.

Expanding context against weighted voting of classifiers

Seppo Puuronen, Vagan Y. Terziyan, Boris Omelayenko, 2000, SPIE Defense + Commercial Sensing.

Distance functions in dynamic integration of data mining techniques

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 2000, SPIE Defense + Commercial Sensing.

IN SEARCH OF A VISION: ONTOLOGICAL VIEW ON USER MODELLING CONFERENCES' SCOPE

Seppo Puuronen, Tatiana Gavrilova, 2007 .

Using continuous user authentication to detect masqueraders

Seppo Puuronen, Alexandr Seleznyov, 2003, Inf. Manag. Comput. Secur..

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Search strategies for ensemble feature selection in medical diagnostics

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2003, 16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings..

Towards more relevance-oriented data mining research

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Intell. Data Anal..

Evaluating Classifiers for Mobile-Masquerader Detection

Mika Raento, Seppo Puuronen, Oleksiy Mazhelis, 2006, SEC.

Dynamic reliability indices for k-out-of-n multi-state system

Seppo Puuronen, Elena N. Zaitseva, Vitaly G. Levashenko, 2005, 35th International Symposium on Multiple-Valued Logic (ISMVL'05).

Characteristics and Measures for Mobile-Masquerader Detection

Seppo Puuronen, Oleksiy Mazhelis, 2004, IICIS.

Towards the Generic Framework for Utility Considerations in Data Mining Research

Mykola Pechenizkiy, Seppo Puuronen, 2010, Data Mining for Business Applications.

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

Dynamic integration of classifiers for handling concept drift

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Inf. Fusion.

Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness

Mykola Pechenizkiy, Seppo Puuronen, Paul De Bra, 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

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

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, ADBIS.

Multi-State System in human reliability analysis

Seppo Puuronen, Elena Zaitseva, 2009, 2009 2nd Conference on Human System Interactions.

Ensemble feature selection with the simple Bayesian classification

Alexey Tsymbal, Seppo Puuronen, David W. Patterson, 2003, Inf. Fusion.

Knowledge Acquisition Based on Semantic Balance of Internal and External Knowledge

Seppo Puuronen, Vagan Y. Terziyan, 1999, IEA/AIE.

Knowledge Acquisition from Multiple Experts Based on Semantics of Concepts

Seppo Puuronen, Vagan Y. Terziyan, 1999, EKAW.

A Technique for Advanced Dynamic Integration of Multiple Classifiers

Alexey Tsymbal, Seppo Puuronen, Vagan Terziyan, 2002 .

Why Data Mining Research Does Not Contribute to Business ?

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

The role of Ukrainian universities in the development of the global information society

Seppo Puuronen, Vagan Y. Terziyan, Helen Kaikova, 1997 .

REASONING WITH MULTILEVEL CONTEXTS IN SEMANTIC METANETWORK

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 2002 .

Ensemble Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001 .

MULTILEVEL CONTEXT REPRESENTATION USING SEMANTIC METANETWORK

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 1997 .