Mykola Pechenizkiy

Mykola Pechenizkiy, Indre Zliobaite: Introduction to the special issue on handling concept drift in adaptive information systems. Evolving Systems 4(1): 1-2 (2013)

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. 222: 282-301 (2013)

Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Techniques for Discrimination-Free Predictive Models. Discrimination and Privacy in the Information Society 2013: 223-239

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

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)

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing 75(1): 210-218 (2012)

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)

Mykola Pechenizkiy, Nikola Trcka, Paul De Bra, Pedro Toledo: CurriM: Curriculum Mining. EDM 2012: 216-217

Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova: Stress Analytics in Education. EDM 2012: 236-237

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

Lorraine Chambers, Erik Tromp, Mykola Pechenizkiy, Mohamed Medhat Gaber: Mobile Sentiment Analysis. KES 2012: 470-479

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

Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: Generic Adaptation Framework: a Process-Oriented Perspective. J. Digit. Inf. 12(1) (2011)

Toon Calders, Mykola Pechenizkiy: Introduction to the special section on educational data mining. SIGKDD Explorations 13(2): 3-6 (2011)

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

Oleksiy Mazhelis, Indre Zliobaite, Mykola Pechenizkiy: Context-Aware Personal Route Recognition. Discovery Science 2011: 221-235

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

Erik Tromp, Mykola Pechenizkiy: SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence. ICDM Workshops 2011: 1247-1250

Evgeny Knutov, Paul De Bra, David Smits, Mykola Pechenizkiy: Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution. WEBIST 2011: 314-321

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

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)

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)

Mykola Pechenizkiy, Indre Zliobaite: Handling concept drift in medical applications: Importance, challenges and solutions. CBMS 2010: 5

Mykola Pechenizkiy, Ekaterina Vasilyeva, Indre Zliobaite, Aleksandra Tesanovic, Goran Manev: Heart failure hospitalization prediction in remote patient management systems. CBMS 2010: 44-49

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

Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy: Class Association Rules Mining from Students' Test Data. EDM 2010: 317-318

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

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) 2010: 35-44

Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: Provenance meets adaptive hypermedia. HT 2010: 93-98

Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy: Adaptation and search: from Dexter and AHAM to GAF. HT 2010: 281-282

Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Discrimination Aware Decision Tree Learning. ICDM 2010: 869-874

Indre Zliobaite, Mykola Pechenizkiy: Learning with Actionable Attributes: Attention -- Boundary Cases! ICDM Workshops 2010: 1021-1028

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: Feature selection is the ReliefF for multiple instance learning. ISDA 2010: 525-532

Mykola Pechenizkiy, Alexey Tsymbal: Guest editorial for DKE special issue on "Biomedical Data Mining". Data Knowl. Eng. 68(12): 1357-1358 (2009)

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)

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)

Aleksandra Tesanovic, Goran Manev, Mykola Pechenizkiy, Ekaterina Vasilyeva: eHealth personalization in the next generation RPM systems. CBMS 2009: 1-8

Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers. Discovery Science 2009: 272-286

Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwers: Predicting Students Drop Out: A Case Study. EDM 2009: 41-50

Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil M. P. van der Aalst, Paul De Bra: Process Mining Online Assessment Data. EDM 2009: 279-288

Paul De Bra, Mykola Pechenizkiy: Dynamic and adaptive hypertext: generic frameworks, approaches and techniques. Hypertext 2009: 387-388

Toon Calders, Faisal Kamiran, Mykola Pechenizkiy: Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18

Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy: Towards Context Aware Food Sales Prediction. ICDM Workshops 2009: 94-99

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

Nikola Trcka, Mykola Pechenizkiy: From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining. ISDA 2009: 1114-1119

Jorn Bakker, Mykola Pechenizkiy: Food Wholesales Prediction: What Is Your Baseline? ISMIS 2009: 493-502

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

Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat: Using minimum description length for process mining. SAC 2009: 1451-1455

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Towards more relevance-oriented data mining research. Intell. Data Anal. 12(2): 237-249 (2008)

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen: Dynamic integration of classifiers for handling concept drift. Information Fusion 9(1): 56-68 (2008)

Ekaterina Vasilyeva, Mykola Pechenizkiy, Paul De Bra: Adaptation of Elaborated Feedback in e-Learning. AH 2008: 235-244

Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal: Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS 2008: 632-637

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

Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy: Immediate Elaborated Feedback Personalization in Online Assessment. EC-TEL 2008: 449-460

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

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

Patrick Meulstee, Mykola Pechenizkiy: Food Sales Prediction: "If Only It Knew What We Know". ICDM Workshops 2008: 134-143

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

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Does Relevance Matter to Data Mining Research?. Data Mining: Foundations and Practice 2008: 251-275

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson: Feature Extraction for Dynamic Integration of Classifiers. Fundam. Inform. 77(3): 243-275 (2007)

Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana Gavrilova, Seppo Puuronen: Personalization of Immediate Feedback to Learning Styles. ICALT 2007: 622-624

Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934

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)

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

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

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

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Dynamic Integration with Random Forests. ECML 2006: 801-808

Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen: The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System. ICALT 2006: 1143-1144

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

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in search strategies for ensemble feature selection. Information Fusion 6(1): 83-98 (2005)

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

Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen: Towards the Framework of Adaptive User Interfaces for eHealth. CBMS 2005: 139-144

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS 2005: 365-370

Mykola Pechenizkiy: Data Mining Strategy Selection via Empirical and Constructive Induction. Databases and Applications 2005: 59-64

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops 2005: 433-437

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops 2005: 733-737

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Sequential Genetic Search for Ensemble Feature Selection. IJCAI 2005: 877-882

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

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

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen: PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS 2004: 535-

Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in Random Subspacing Ensembles. DaWaK 2004: 309-319

Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson: Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS 2003: 278-292

Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen: Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS 2003: 124-129

Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal: Feature Extraction for Classification in Knowledge Discovery Systems. KES 2003: 526-532

Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson: Eigenvector-Based Feature Extraction for Classification. FLAIRS Conference 2002: 354-358