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Mykola Pechenizkiy
2010 – today
- 2013
[j18]Mykola Pechenizkiy, Indre Zliobaite: Introduction to the special issue on handling concept drift in adaptive information systems. Evolving Systems 4(1): 1-2 (2013)- [j17]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. 222: 282-301 (2013)
- [j16]Hock Hee Ang, Vivekanand Gopalkrishnan, Indre Zliobaite, Mykola Pechenizkiy, Steven C. H. Hoi: Predictive Handling of Asynchronous Concept Drifts in Distributed Environments. IEEE Trans. Knowl. Data Eng. 25(10): 2343-2355 (2013)
- [c67]
- [c66]Erkin Demirtas, Mykola Pechenizkiy: Cross-lingual polarity detection with machine translation. WISDOM 2013: 9
- [c65]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders: Discovering temporal hidden contexts in web sessions for user trail prediction. WWW (Companion Volume) 2013: 1067-1074
- [p2]Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Techniques for Discrimination-Free Predictive Models. Discrimination and Privacy in the Information Society 2013: 223-239
- [e2]Mykola Pechenizkiy, Marek Wojciechowski (Eds.): New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznań, Poland, September 17-21, 2012. Advances in Intelligent Systems and Computing 185, Springer 2013, ISBN 978-3-642-32517-5
- 2012
- [j15]Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: Beating the baseline prediction in food sales: How intelligent an intelligent predictor is? Expert Syst. Appl. 39(1): 806-815 (2012)
- [j14]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing 75(1): 210-218 (2012)
- [j13]Paolo Soda, Sameer Antani, Francesco Tortorella, Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal: Trends in computer-based medical systems. SIGHIT Record 2(2): 46-50 (2012)
- [c64]Mykola Pechenizkiy, Nikola Trcka, Paul De Bra, Pedro Toledo: CurriM: Curriculum Mining. EDM 2012: 216-217
- [c63]Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova: Stress Analytics in Education. EDM 2012: 236-237
- [c62]Jorn Bakker, Leszek Holenderski, Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova: Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching. IHI 2012: 673-678
- [c61]Lorraine Chambers, Erik Tromp, Mykola Pechenizkiy, Mohamed Medhat Gaber: Mobile Sentiment Analysis. KES 2012: 470-479
- [c60]Edward Tersoo Apeh, Indre Zliobaite, Mykola Pechenizkiy, Bogdan Gabrys: Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales. SGAI Conf. 2012: 213-218
- 2011
- [j12]Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: Generic Adaptation Framework: a Process-Oriented Perspective. J. Digit. Inf. 12(1) (2011)
- [j11]Toon Calders, Mykola Pechenizkiy: Introduction to the special section on educational data mining. SIGKDD Explorations 13(2): 3-6 (2011)
- [c59]R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, Indre Zliobaite, Mykola Pechenizkiy: Handling Concept Drift in Process Mining. CAiSE 2011: 391-405
- [c58]Oleksiy Mazhelis, Indre Zliobaite, Mykola Pechenizkiy: Context-Aware Personal Route Recognition. Discovery Science 2011: 221-235
- [c57]Jorn Bakker, Mykola Pechenizkiy, Natalia Sidorova: What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data. ICDM Workshops 2011: 573-580
- [c56]Erik Tromp, Mykola Pechenizkiy: SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence. ICDM Workshops 2011: 1247-1250
- [c55]Evgeny Knutov, Paul De Bra, David Smits, Mykola Pechenizkiy: Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution. WEBIST 2011: 314-321
- [e1]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper (Eds.): Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9
- 2010
- [j10]Paolo Soda, Mykola Pechenizkiy, Francesco Tortorella, Alexey Tsymbal: Knowledge discovery and computer-based decision support in biomedicine. Artificial Intelligence in Medicine 49(3): 1-2 (2010)
- [j9]Paolo Soda, Mykola Pechenizkiy, Francesco Tortorella, Alexey Tsymbal: Knowledge discovery and computer-based decision support in biomedicine. Artificial Intelligence in Medicine 50(1): 1-2 (2010)
- [c54]Mykola Pechenizkiy, Indre Zliobaite: Handling concept drift in medical applications: Importance, challenges and solutions. CBMS 2010: 5
- [c53]Mykola Pechenizkiy, Ekaterina Vasilyeva, Indre Zliobaite, Aleksandra Tesanovic, Goran Manev: Heart failure hospitalization prediction in remote patient management systems. CBMS 2010: 44-49
- [c52]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
- [c51]Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy: Class Association Rules Mining from Students' Test Data. EDM 2010: 317-318
- [c50]Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Sicco Verwer, Paul De Bra: Towards EDM Framework for Personalization of Information Services in RPM Systems. EDM 2010: 331-332
- [c49]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) 2010: 35-44
- [c48]Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: Provenance meets adaptive hypermedia. HT 2010: 93-98
- [c47]Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: Adaptation and search: from Dexter and AHAM to GAF. HT 2010: 281-282
- [c46]Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Discrimination Aware Decision Tree Learning. ICDM 2010: 869-874
- [c45]Indre Zliobaite, Mykola Pechenizkiy: Learning with Actionable Attributes: Attention -- Boundary Cases! ICDM Workshops 2010: 1021-1028
- [c44]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: Feature selection is the ReliefF for multiple instance learning. ISDA 2010: 525-532
2000 – 2009
- 2009
- [j8]Mykola Pechenizkiy, Alexey Tsymbal: Guest editorial for DKE special issue on "Biomedical Data Mining". Data Knowl. Eng. 68(12): 1357-1358 (2009)
- [j7]Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques. The New Review of Hypermedia and Multimedia 15(1): 5-38 (2009)
- [j6]Mykola Pechenizkiy, Jorn Bakker, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen: Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift. SIGKDD Explorations 11(2): 109-116 (2009)
- [c43]Aleksandra Tesanovic, Goran Manev, Mykola Pechenizkiy, Ekaterina Vasilyeva: eHealth personalization in the next generation RPM systems. CBMS 2009: 1-8
- [c42]Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers. Discovery Science 2009: 272-286
- [c41]Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwers: Predicting Students Drop Out: A Case Study. EDM 2009: 41-50
- [c40]Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil M. P. van der Aalst, Paul De Bra: Process Mining Online Assessment Data. EDM 2009: 279-288
- [c39]Paul De Bra, Mykola Pechenizkiy: Dynamic and adaptive hypertext: generic frameworks, approaches and techniques. Hypertext 2009: 387-388
- [c38]Toon Calders, Faisal Kamiran, Mykola Pechenizkiy: Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18
- [c37]Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: Towards Context Aware Food Sales Prediction. ICDM Workshops 2009: 94-99
- [c36]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
- [c35]Nikola Trcka, Mykola Pechenizkiy: From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining. ISDA 2009: 1114-1119
- [c34]Jorn Bakker, Mykola Pechenizkiy: Food Wholesales Prediction: What Is Your Baseline? ISMIS 2009: 493-502
- [c33]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
- [c32]Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat: Using minimum description length for process mining. SAC 2009: 1451-1455
- 2008
- [j5]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Towards more relevance-oriented data mining research. Intell. Data Anal. 12(2): 237-249 (2008)
- [j4]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen: Dynamic integration of classifiers for handling concept drift. Information Fusion 9(1): 56-68 (2008)
- [c31]Ekaterina Vasilyeva, Mykola Pechenizkiy, Paul De Bra: Adaptation of Elaborated Feedback in e-Learning. AH 2008: 235-244
- [c30]Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal: Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS 2008: 632-637
- [c29]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
- [c28]Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy: Immediate Elaborated Feedback Personalization in Online Assessment. EC-TEL 2008: 449-460
- [c27]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
- [c26]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
- [c25]Patrick Meulstee, Mykola Pechenizkiy: Food Sales Prediction: "If Only It Knew What We Know". ICDM Workshops 2008: 134-143
- [c24]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
- [p1]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Does Relevance Matter to Data Mining Research?. Data Mining: Foundations and Practice 2008: 251-275
- 2007
- [j3]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson: Feature Extraction for Dynamic Integration of Classifiers. Fundam. Inform. 77(3): 243-275 (2007)
- [c23]Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana Gavrilova, Seppo Puuronen: Personalization of Immediate Feedback to Learning Styles. ICALT 2007: 622-624
- [c22]Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934
- 2006
- [j2]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)
- [c21]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
- [c20]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
- [c19]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
- [c18]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Dynamic Integration with Random Forests. ECML 2006: 801-808
- [c17]Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen: The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System. ICALT 2006: 1143-1144
- [c16]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: The impact of sample reduction on PCA-based feature extraction for supervised learning. SAC 2006: 553-558
- 2005
- [j1]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in search strategies for ensemble feature selection. Information Fusion 6(1): 83-98 (2005)
- [c15]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
- [c14]Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen: Towards the Framework of Adaptive User Interfaces for eHealth. CBMS 2005: 139-144
- [c13]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS 2005: 365-370
- [c12]Mykola Pechenizkiy: Data Mining Strategy Selection via Empirical and Constructive Induction. Databases and Applications 2005: 59-64
- [c11]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops 2005: 433-437
- [c10]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops 2005: 733-737
- [c9]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Sequential Genetic Search for Ensemble Feature Selection. IJCAI 2005: 877-882
- [c8]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
- [c7]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
- 2004
- [c6]Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS 2004: 535-
- [c5]Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in Random Subspacing Ensembles. DaWaK 2004: 309-319
- 2003
- [c4]Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson: Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS 2003: 278-292
- [c3]Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen: Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS 2003: 124-129
- [c2]Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Feature Extraction for Classification in Knowledge Discovery Systems. KES 2003: 526-532
- 2002
- [c1]Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson: Eigenvector-Based Feature Extraction for Classification. FLAIRS Conference 2002: 354-358
Coauthor Index
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last updated on 2013-10-02 11:14 CEST by the dblp team