| 2009 | ||
|---|---|---|
| 47 | Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers. Discovery Science 2009: 272-286 | |
| 46 | Paul De Bra, Mykola Pechenizkiy: Dynamic and adaptive hypertext: generic frameworks, approaches and techniques. Hypertext 2009: 387-388 | |
| 45 | Andriy Ivannikov, Mykola Pechenizkiy, Jorn Bakker, Timo Leino, Mikko Jegoroff, Tommi Kärkkäinen, Sami Äyrämö: Online Mass Flow Prediction in CFB Boilers. ICDM 2009: 206-219 | |
| 44 | Toon Calders, Faisal Kamiran, Mykola Pechenizkiy: Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18 | |
| 43 | Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: Towards Context Aware Food Sales Prediction. ICDM Workshops 2009: 94-99 | |
| 42 | Nikola Trcka, Mykola Pechenizkiy: From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining. ISDA 2009: 1114-1119 | |
| 41 | Jorn Bakker, Mykola Pechenizkiy: Food Wholesales Prediction: What Is Your Baseline? ISMIS 2009: 493-502 | |
| 40 | Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen: Handling outliers and concept drift in online mass flow prediction in CFB boilers. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 13-22 | |
| 39 | Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat: Using minimum description length for process mining. SAC 2009: 1451-1455 | |
| 38 | Mykola Pechenizkiy, Alexey Tsymbal: Guest editorial for DKE special issue on "Biomedical Data Mining". Data Knowl. Eng. 68(12): 1357-1358 (2009) | |
| 2008 | ||
| 37 | Ekaterina Vasilyeva, Mykola Pechenizkiy, Paul De Bra: Adaptation of Elaborated Feedback in e-Learning. AH 2008: 235-244 | |
| 36 | Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal: Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS 2008: 632-637 | |
| 35 | Maurice Hendrix, Paul De Bra, Mykola Pechenizkiy, David Smits, Alexandra I. Cristea: Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model. EC-TEL 2008: 132-143 | |
| 34 | Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy: Immediate Elaborated Feedback Personalization in Online Assessment. EC-TEL 2008: 449-460 | |
| 33 | Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, Paul De Bra: Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. EDM 2008: 187-191 | |
| 32 | Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy, Seppo Puuronen: Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness. ICALT 2008: 834-838 | |
| 31 | Patrick Meulstee, Mykola Pechenizkiy: Food Sales Prediction: "If Only It Knew What We Know". ICDM Workshops 2008: 134-143 | |
| 30 | Ekaterina Vasilyeva, Mykola Pechenizkiy, Paul De Bra: Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment. Intelligent Tutoring Systems 2008: 771-773 | |
| 29 | Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Does Relevance Matter to Data Mining Research?. Data Mining: Foundations and Practice 2008: 251-275 | |
| 28 | Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen: Dynamic integration of classifiers for handling concept drift. Information Fusion 9(1): 56-68 (2008) | |
| 27 | Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Towards more relevance-oriented data mining research. Intell. Data Anal. 12(2): 237-249 (2008) | |
| 2007 | ||
| 26 | Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana Gavrilova, Seppo Puuronen: Personalization of Immediate Feedback to Learning Styles. ICALT 2007: 622-624 | |
| 25 | Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934 | |
| 24 | Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson: Feature Extraction for Dynamic Integration of Classifiers. Fundam. Inform. 77(3): 243-275 (2007) | |
| 2006 | ||
| 23 | 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 | |
| 22 | 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 | |
| 21 | 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 | |
| 20 | Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Dynamic Integration with Random Forests. ECML 2006: 801-808 | |
| 19 | Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen: The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System. ICALT 2006: 1143-1144 | |
| 18 | Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: The impact of sample reduction on PCA-based feature extraction for supervised learning. SAC 2006: 553-558 | |
| 17 | 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) | |
| 2005 | ||
| 16 | Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen: Towards the Framework of Adaptive User Interfaces for eHealth. CBMS 2005: 139-144 | |
| 15 | Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS 2005: 365-370 | |
| 14 | Mykola Pechenizkiy: The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5. Canadian Conference on AI 2005: 268-279 | |
| 13 | Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops 2005: 433-437 | |
| 12 | Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops 2005: 733-737 | |
| 11 | Mykola Pechenizkiy: Data Mining Strategy Selection via Empirical and Constructive Induction. Databases and Applications 2005: 59-64 | |
| 10 | Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Sequential Genetic Search for Ensemble Feature Selection. IJCAI 2005: 877-882 | |
| 9 | 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 | |
| 8 | 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 | |
| 7 | Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in search strategies for ensemble feature selection. Information Fusion 6(1): 83-98 (2005) | |
| 2004 | ||
| 6 | Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS 2004: 535- | |
| 5 | Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in Random Subspacing Ensembles. DaWaK 2004: 309-319 | |
| 2003 | ||
| 4 | Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson: Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS 2003: 278-292 | |
| 3 | Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen: Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS 2003: 124-129 | |
| 2 | Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Feature Extraction for Classification in Knowledge Discovery Systems. KES 2003: 526-532 | |
| 2002 | ||
| 1 | Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson: Eigenvector-Based Feature Extraction for Classification. FLAIRS Conference 2002: 354-358 | |