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Seppo Puuronen
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2010 – 2019
- 2010
- [c61]Seppo Puuronen, Ekaterina Vasilyeva, Mykola Pechenizkiy
, Aleksandra Tesanovic:
A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional users. CBMS 2010: 426-431 - [p2]Seppo Puuronen, Mykola Pechenizkiy
Towards the Generic Framework for Utility Considerations in Data Mining Research. Data Mining for Business Applications 2010: 49-65
2000 – 2009
- 2008
- [j11]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal:
Towards more relevance-oriented data mining research. Intell. Data Anal. 12(2): 237-249 (2008) - [j10]Alexey Tsymbal, Mykola Pechenizkiy
Dynamic integration of classifiers for handling concept drift. Inf. Fusion 9(1): 56-68 (2008) - [c60]Seppo Puuronen, Mykola Pechenizkiy
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS 2008: 632-637 - [c59]Tatiana Gavrilova, Seppo Puuronen:
Ontological Framework for Students' Innovative Research. DistIntellSys 2008: 119-130 - [c58]Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy
Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness. ICALT 2008: 834-838 - [p1]Mykola Pechenizkiy
Does Relevance Matter to Data Mining Research?. Data Mining: Foundations and Practice 2008: 251-275 - 2007
- [j9]Oleksiy Mazhelis, Seppo Puuronen:
A framework for behavior-based detection of user substitution in a mobile context. Comput. Secur. 26(2): 154-176 (2007) - [j8]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson:
Feature Extraction for Dynamic Integration of Classifiers. Fundam. Informaticae 77(3): 243-275 (2007) - [c57]Oleksiy Mazhelis, Seppo Puuronen:
Comparing Classifier Combining Techniques for Mobile-Masquerader Detection. ARES 2007: 465-472 - [c56]Ekaterina Vasilyeva, Mykola Pechenizkiy
Personalization of Immediate Feedback to Learning Styles. ICALT 2007: 622-624 - 2006
- [j7]Mykola Pechenizkiy
Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis. IEEE Trans. Inf. Technol. Biomed. 10(3): 533-539 (2006) - [c55]Alexey Tsymbal, Mykola Pechenizkiy
Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. CBMS 2006: 679-684 - [c54]Mykola Pechenizkiy
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. CBMS 2006: 708-713 - [c53]Seppo Puuronen, Mykola Pechenizkiy
Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field. DEXA Workshops 2006: 579-583 - [c52]Ekaterina Vasilyeva, Mykola Pechenizkiy
The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System. ICALT 2006: 1143-1144 - [c51]Oleksiy Mazhelis, Seppo Puuronen, Mika Raento:
Estimating Accuracy of Mobile-Masquerader Detection Using Worst-Case and Best-Case Scenario. ICICS 2006: 302-321 - [c50]Mykola Pechenizkiy
The impact of sample reduction on PCA-based feature extraction for supervised learning. SAC 2006: 553-558 - [c49]Oleksiy Mazhelis, Seppo Puuronen, Mika Raento:
Evaluating Classifiers for Mobile-Masquerader Detection. SEC 2006: 271-283 - 2005
- [c48]Ekaterina Vasilyeva, Mykola Pechenizkiy
Towards the Framework of Adaptive User Interfaces for eHealth. CBMS 2005: 139-144 - [c47]Mykola Pechenizkiy
Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS 2005: 365-370 - [c46]Mykola Pechenizkiy
Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops 2005: 433-437 - [c45]Mykola Pechenizkiy
Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops 2005: 733-737 - [c44]Elena N. Zaitseva, Vitaly G. Levashenko, Karol Matiasko, Seppo Puuronen:
Dynamic Reliability Indices for k-out-of-n Multi-State System. ISMVL 2005: 264-269 - [c43]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 - [c42]Mykola Pechenizkiy
Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement (LNCS Volume) 2005: 360-372 - 2004
- [c41]Mykola Pechenizkiy
PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS 2004: 535- - [c40]Oleksiy Mazhelis, Seppo Puuronen:
Combining One-Class Classifiers for Mobile-User Substitution Detection. ICEIS (4) 2004: 130-137 - [c39]Oleksiy Mazhelis, Seppo Puuronen, Jari Veijalainen:
Modelling Dependencies Between Classifiers in Mobile Masquerader Detection. ICICS 2004: 318-330 - [c38]Oleksiy Mazhelis, Seppo Puuronen:
Characteristics and Measures for Mobile-Masquerader Detection. IICIS 2004: 303-318 - 2003
- [j6]Alexandr Seleznyov, Seppo Puuronen:
Using continuous user authentication to detect masqueraders. Inf. Manag. Comput. Secur. 11(3): 139-145 (2003) - [j5]Alexey Tsymbal, Seppo Puuronen, David W. Patterson:
Ensemble feature selection with the simple Bayesian classification. Inf. Fusion 4(2): 87-100 (2003) - [c37]Alexey Tsymbal, Mykola Pechenizkiy
Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS 2003: 278-292 - [c36]Alexey Tsymbal, Padraig Cunningham
Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS 2003: 124-129 - [c35]Mykola Pechenizkiy
Feature Extraction for Classification in Knowledge Discovery Systems. KES 2003: 526-532 - 2002
- [c34]Alexey Tsymbal, Seppo Puuronen:
Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics. CBMS 2002: 225-230 - [c33]Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson:
Eigenvector-Based Feature Extraction for Classification. FLAIRS 2002: 354-358 - [c32]Oleksiy Mazhelis, Alexandr Seleznyov, Seppo Puuronen:
A Multi-Expert Based Approach to Continuous Authentication of Mobile-Device Users. Certification and Security in E-Services 2002: 149-164 - [c31]Alexey Tsymbal, Seppo Puuronen, David W. Patterson:
Feature Selection for Ensembles of Simple Bayesian Classifiers. ISMIS 2002: 592-600 - 2001
- [j4]Seppo Puuronen, Alexey Tsymbal:
Local Feature Selection with Dynamic Integration of Classifiers. Fundam. Informaticae 47(1-2): 91-117 (2001) - [c30]Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal:
Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics. ADBIS 2001: 155-168 - [c29]Iryna Skrypnyk, Seppo Puuronen, Antony Grzanka
Selection of Voice Features to Diagnose Hearing Impairments of Children. CBMS 2001: 427-432 - [c28]Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal:
Ensemble Feature Selection Based on the Contextual Merit. DaWaK 2001: 111-120 - [c27]Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk:
Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. IDA 2001: 135-144 - [c26]Alexandr Seleznyov, Oleksiy Mazhelis, Seppo Puuronen:
Learning Temporal Regularities of User Behavior for Anomaly Detection. MMM-ACNS 2001: 143-152 - [c25]Vladimir Ryabov, Seppo Puuronen:
Probabilistic Reasoning about Uncertain Relations between Temporal Points. TIME 2001: 35-40 - 2000
- [c24]Vladimir Ryabov, Seppo Puuronen:
Estimation of Uncertain Relations between Indeterminate Temporal Points. ADVIS 2000: 108-116 - [c23]Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk:
Advanced Local Feature Selection in Medical Diagnostics. CBMS 2000: 25- - [c22]Alexandr Seleznyov, Seppo Puuronen:
HIDSUR: A Hybrid Intrusion Detection System Based on Real-Time User Recognition. DEXA Workshop 2000: 41-45 - [c21]Seppo Puuronen, Alexey Tsymbal, Vagan Y. Terziyan
Distance functions in dynamic integration of data mining techniques. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 22-32 - [c20]Alexey Tsymbal, Seppo Puuronen:
Dynamic Integration of Decision Committees. HiPC 2000: 537-546 - [c19]Alexey Tsymbal, Seppo Puuronen:
Local Feature Selection with Dynamic Integration of Classifiers. ISMIS 2000: 417-425 - [c18]Alexey Tsymbal, Seppo Puuronen:
Bagging and Boosting with Dynamic Integration of Classifiers. PKDD 2000: 116-125
1990 – 1999
- 1999
- [c17]Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation. ADBIS 1999: 205-217 - [c16]Irina Skrypnik, Vagan Y. Terziyan
Learning Feature Selection for Medical Databases. CBMS 1999: 53- - [c15]Seppo Puuronen, Vagan Y. Terziyan
A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of Agents. CIA 1999: 163-174 - [c14]Seppo Puuronen, Vagan Y. Terziyan, Alexander Logvinovsky:
Mining Several Data Bases With an Ensemble of Classifiers. DEXA 1999: 882-891 - [c13]Seppo Puuronen, Vagan Y. Terziyan, Alexander Logvinovsky:
Mining Several Data Bases with an Ensemble of Classifiers. DEXA Workshop 1999: 218-222 - [c12]Seppo Puuronen, Vagan Y. Terziyan
A Similarity Evaluation Technique for Data Mining with an Ensemble of Classifiers. DEXA Workshop 1999: 1155-1160 - [c11]Seppo Puuronen, Vagan Y. Terziyan
Dynamic integration of multiple data mining techniques in a knowledge discovery management system. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 128-141 - [c10]Seppo Puuronen, Vagan Y. Terziyan
Knowledge Acquisition from Multiple Experts Based on Semantics of Concepts. EKAW 1999: 259-273 - [c9]Vladimir Ryabov, Seppo Puuronen, Vagan Y. Terziyan:
Representation and Reasoning with Uncertain Temporal Relations. FLAIRS 1999: 449-453 - [c8]Vagan Y. Terziyan
Knowledge Acquisition Based on Semantic Balance of Internal and External Knowledge. IEA/AIE 1999: 353-361 - [c7]Seppo Puuronen, Helen Kaikova:
Handling Context-Sensitive Temporal Knowledge from Multiple Differently Ranked Sources. IEA/AIE 1999: 688-697 - [c6]Seppo Puuronen, Vagan Y. Terziyan
A Dynamic Integration Algorithm for an Ensemble of Classifiers. ISMIS 1999: 592-600 - [c5]Alexandr Seleznyov, Seppo Puuronen:
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events. Recent Advances in Intrusion Detection 1999 - 1998
- [j3]Vagan Y. Terziyan
The decision support system for telemedicine based on multiple expertise. Int. J. Medical Informatics 49(2): 217-229 (1998) - [c4]Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
Advanced Dynamic Selection of Diagnostic Methods. CBMS 1998: 50-54 - 1997
- [j2]Seppo Puuronen, Vesa Savolainen:
Mobile information systems - executives' view. Inf. Syst. J. 7(1): 3-20 (1997) - [c3]Vagan Y. Terziyan
Decision support system for telemedicine based on multiple expertise. CBMS 1997: 8- - [c2]Seppo Puuronen, Vagan Y. Terziyan
The Voting-Type Technique in the Refinement of Multiple Expert Knowledge. HICSS (5) 1997: 287-296 - 1996
- [c1]Seppo Puuronen, Vagan Y. Terziyan:
Modeling Consensus Knowledge from Multiple Sources Based on Semantics of Concepts. ER Workshop Challenges of Application and Challenges of Design 1996: 133-146
1980 – 1989
- 1987
- [j1]Seppo Puuronen:
Direct Execution of an Extended Decision Grid Chart. Angew. Inform. 29(8/9): 351-357 (1987)
Coauthor Index
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