Mykola Pechenizkiy

Tapani Ristaniemi, Mykola Pechenizkiy, Sergey Chernov, 2015, 2015 10th International Conference on Information, Communications and Signal Processing (ICICS).

CurriM : Curriculum mining (Poster)

Mykola Pechenizkiy, P.M.E. De Bra, Nikola Trcka, 2012, EDM 2012.

Towards Context Aware Food Sales Prediction

Mykola Pechenizkiy, Indre Zliobaite, Jorn Bakker, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Expressive modeling for trusted big data analytics: techniques and applications in sentiment analysis

Mykola Pechenizkiy, Mohamed Medhat Gaber, Erik Tromp, 2017 .

Pattern-Based Emotion Classification on Social Media

Mykola Pechenizkiy, Erik Tromp, Mykola Pechenizkiy, 2015, Advances in Social Media Analysis.

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).

Provenance meets adaptive hypermedia

Mykola Pechenizkiy, Paul De Bra, Evgeny Knutov, 2010, HT '10.

Ethics and Privacy in EDM

Zachary A. Pardos, Mykola Pechenizkiy, Dragan Gasevic, 2015, EDM.

Feature Extraction for Classification in Knowledge Discovery Systems

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

Food Wholesales Prediction: What Is Your Baseline?

Mykola Pechenizkiy, Jorn Bakker, Mykola Pechenizkiy, 2009, ISMIS.

Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data

Mykola Pechenizkiy, Wouter Duivesteijn, Xin Du, 2020, AAAI.

The nutcracker framework for ensemble interpretability

Mykola Pechenizkiy, Wouter Duivesteijn, O. Zeev Ben Mordehay, 2017 .

Dealing With Concept Drifts in Process Mining

Mykola Pechenizkiy, Wil M. P. van der Aalst, R. P. Jagadeesh Chandra Bose, 2014, IEEE Transactions on Neural Networks and Learning Systems.

SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence

Mykola Pechenizkiy, Erik Tromp, Mykola Pechenizkiy, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznań, Poland, September 17-21, 2012

Mykola Pechenizkiy, Marek Wojciechowski, 2013, ADBIS Workshops.

A bounded-size clustering algorithm on fully-dynamic streaming graphs

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2018, Intell. Data Anal..

DOBRO: a prediction error correcting robot under drifts

Eric Bouillet, Mykola Pechenizkiy, Tommi Kärkkäinen, 2016, SAC.

Dynamic Integration of Classifiers in the Space of Principal Components

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

Application of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony

Mykola Pechenizkiy, Negar Ahmadi, Mykola Pechenizkiy, 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

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.

Applying Learning to Rank Techniques to Contextual Suggestions

Mykola Pechenizkiy, Jaap Kamps, Paul De Bra, 2014, TREC.

Towards better understanding of circulating fluidized bed boilers : a data mining approach

Mykola Pechenizkiy, Tommi Kärkkäinen, Andriy Ivannikov, 2006 .

Learning from medical data streams 2011: proceedings of the workshop on learning from medical data streams (LEMEDS'11), Bled, Slovenia, July 6, 2011.

Mykola Pechenizkiy, Mohamed Medhat Gaber, João Gama, 2011 .

Bridging versioning and adaptive hypermedia in the dynamic web

Mykola Pechenizkiy, P.M.E. De Bra, Evgeny Knutov, 2010 .

Feature selection is the ReliefF for multiple instance learning

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

A robust density-based clustering algorithm for multi-manifold structure

Mykola Pechenizkiy, Yulong Pei, Julia Efremova, 2016, SAC.

Dynamic and adaptive hypertext: generic frameworks, approaches and techniques

Mykola Pechenizkiy, Paul De Bra, 2009, HT '09.

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).

Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015).

Jesus G. Boticario, Arnon Hershkovitz, Mykola Pechenizkiy, 2015, EDM 2015.

Structural measures of clustering quality on graph samples

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

An Overview of Concept Drift Applications

Mykola Pechenizkiy, João Gama, Indrė Žliobaitė, 2016 .

Joint Role and Community Detection in Networks via L2,1 Norm Regularized Nonnegative Matrix Tri-Factorization

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

DyNMF: Role Analytics in Dynamic Social Networks

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2018, IJCAI.

Handling Concept Drift in Process Mining

Mykola Pechenizkiy, Wil M. P. van der Aalst, R. P. Jagadeesh Chandra Bose, 2011, CAiSE.

Editorial: A Message from the Editorial Team and an Introduction to the January-March 2015 Issue

Xavier Ochoa, Katrien Verbert, Mykola Pechenizkiy, 2014, IEEE Trans. Learn. Technol..

Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions

Mykola Pechenizkiy, George H. L. Fletcher, Giovanni Iacca, 2019, Evolutionary Computation.

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

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

Predictive User Modeling with Actionable Attributes pdf

Mykola Pechenizkiy, Indre Zliobaite, 2013, ArXiv.

Grand Challenges for EDM and Related Research Areas

Neil T. Heffernan, Mykola Pechenizkiy, Dragan Gasevic, 2015, EDM.

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).

Twitter rumour detection in the health domain

Mykola Pechenizkiy, Yulong Pei, Paolo Soda, 2018, Expert Syst. Appl..

Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?

Mykola Pechenizkiy, Indre Zliobaite, Jorn Bakker, 2012, Expert Syst. Appl..

ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations

Mykola Pechenizkiy, Wouter Duivesteijn, Werner van Ipenburg, 2018, MIDAS/PAP@PKDD/ECML.

What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data

Mykola Pechenizkiy, Natalia Sidorova, Jorn Bakker, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Adversarial balancing-based representation learning for causal effect inference with observational data pdf

Lei Sun, Mykola Pechenizkiy, Wouter Duivesteijn, 2019, Data Mining and Knowledge Discovery.

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).

A DSL based on CSS for hypertext adaptation

Mykola Pechenizkiy, George H. L. Fletcher, Paul De Bra, 2014, HT.

Speeding-Up Association Rule Mining With Inverted Index Compression

Mykola Pechenizkiy, Sebastián Ventura, Alberto Cano, 2016, IEEE Transactions on Cybernetics.

struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding pdf

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2018, ArXiv.

ACLAC: An approach for adaptive closed-loop anesthesia control

Juan A. Méndez, Mykola Pechenizkiy, Alexandr V. Maslov, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Feature Extraction for Dynamic Integration of Classifiers

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

Let's grow together: tutorials on learning analytics methods

Mykola Pechenizkiy, Dragan Gasevic, 2016 .

Intrinsically Sparse Long Short-Term Memory Networks pdf

Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu, 2019, ArXiv.

Mykola Pechenizkiy, Yulong Pei, Paolo Soda, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Explaining Soccer Match Outcomes with Goal Scoring Opportunities Predictive Analytics

Mykola Pechenizkiy, Harm Eggels, Ruud van Elk, 2016, MLSA@PKDD/ECML.

Guest editorial for DKE special issue on "Biomedical Data Mining"

Mykola Pechenizkiy, Alexey Tsymbal, 2009, Data Knowl. Eng..

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).

Diversity in search strategies for ensemble feature selection

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2005, Inf. Fusion.

Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment

Mykola Pechenizkiy, Paul De Bra, Ekaterina Vasilyeva, 2008, Intelligent Tutoring Systems.

Introduction to the special section on educational data mining

Toon Calders, Mykola Pechenizkiy, Mykola Pechenizkiy, 2012, SKDD.

Finding Predictive EEG Complexity Features for Classification of Epileptic and Psychogenic Nonepileptic Seizures Using Imperialist Competitive Algorithm

Mykola Pechenizkiy, Evelien Carrette, Albert P. Aldenkamp, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

Discrimination Aware Decision Tree Learning

Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2010, 2010 IEEE International Conference on Data Mining.

Learning from Medical Data Streams AIME 2011 Workshop Report

Mykola Pechenizkiy, Mohamed Medhat Gaber, Pedro Pereira Rodrigues, 2011 .

Immediate Elaborated Feedback Personalization in Online Assessment

Mykola Pechenizkiy, Paul De Bra, Ekaterina Vasilyeva, 2008, EC-TEL.

Adaptation of Elaborated Feedback in e-Learning

Mykola Pechenizkiy, Paul De Bra, Ekaterina Vasilyeva, 2008, AH.

On combining principal components with Fisher's linear discriminants for supervised learning

Mykola Pechenizkiy, S. Puuronen, Alexey Tsymbal, 2006 .

Predicting Current User Intent with Contextual Markov Models

Toon Calders, Mykola Pechenizkiy, Hoang Thanh Lam, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Multi-strategy Differential Evolution

Mykola Pechenizkiy, George H. L. Fletcher, Giovanni Iacca, 2018, EvoApplications.

Dynamic Integration with Random Forests

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2006, ECML.

Proceedings of the workshop on Learning from medical data streams, LEMEDS'11, Bled, Slovania, July 6, 2011

Mykola Pechenizkiy, Mohamed Medhat Gaber, Pedro Pereira Rodrigues, 2011 .

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints

Mykola Pechenizkiy, Tommi Kärkkäinen, Yulong Pei, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Does Relevance Matter to Data Mining Research?

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

Proceedings of CBMS 2012, the 25th IEEE symposium on computer-based medical systems : June 20th -22th, Rome, Italy

Mykola Pechenizkiy, Sameer Antani, Alexey Tsymbal, 2012, CBMS 2012.

WiBAF into a CMS: Personalization in Learning Environments Made Easy

Mykola Pechenizkiy, Natalia Stash, George H. L. Fletcher, 2016, UMAP.

From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining

Mykola Pechenizkiy, Nikola Trcka, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015

Arnon Hershkovitz, Mykola Pechenizkiy, Olga C. Santos, 2015, EDM.

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).

JYVÄSKYLÄ STUDIES IN COMPUTING 56

Mykola Pechenizkiy, Mykola Pechenizkiy, 2005 .

Towards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness

Mykola Pechenizkiy, Hindra Kurniawan, Mykola Pechenizkiy, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Workshop on Educational Data Mining (EDM) in conjunction with ICALT07

Toon Calders, Mykola Pechenizkiy, Joseph Thaddeus Beck, 2007 .

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.

IEEE CBMS 2012 25 th International Symposium on Computer-Based Medical Systems First Announcement

Mykola Pechenizkiy, Sameer Antani, Francesco Tortorella, 2012 .

Techniques for Discrimination-Free Predictive Models

Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2013, Discrimination and Privacy in the Information Society.

Technologies for dealing with information overload : an engineers' point of view

Tgk Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2012 .

Knowledge discovery and computer-based decision support in biomedicine

Mykola Pechenizkiy, Alexey Tsymbal, Francesco Tortorella, 2010, Artif. Intell. Medicine.

Adaptation and search: from Dexter and AHAM to GAF

Mykola Pechenizkiy, Paul De Bra, Evgeny Knutov, 2010, HT '10.

Mobile Sentiment Analysis

Mykola Pechenizkiy, Mohamed Medhat Gaber, Erik Tromp, 2012, KES.

Tink: A Temporal Graph Analytics Library for Apache Flink

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2018, WWW.

Adaptivity in GRAPPLE: Adaptation in Any Way You Like

Mykola Pechenizkiy, Paul De Bra, David Smits, 2008 .

Handling concept drift in medical applications: Importance, challenges and solutions

Mykola Pechenizkiy, Indre Zliobaite, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

Cross-lingual polarity detection with machine translation

Mykola Pechenizkiy, Erkin Demirtas, Mykola Pechenizkiy, 2013, WISDOM '13.

Heart failure hospitalization prediction in remote patient management systems

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

Finding Incident-Related Social Media Messages for Emergency Awareness

Mykola Pechenizkiy, Jorn Bakker, Alexander Nieuwenhuijse, 2016, ECML/PKDD.

Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution

Mykola Pechenizkiy, George H. L. Fletcher, Giovanni Iacca, 2018, GECCO.

Detection of Alcoholism Based on EEG Signals and Functional Brain Network Features Extraction

Mykola Pechenizkiy, Yulong Pei, Negar Ahmadi, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

A survey on using domain and contextual knowledge for human activity recognition in video streams

Mykola Pechenizkiy, Giulio Iannello, Leonardo Onofri, 2016, Expert Syst. Appl..

Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining

Mykola Pechenizkiy, Wouter Duivesteijn, Tara Farzami, 2017, ECML/PKDD.

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.

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling

Mykola Pechenizkiy, Wouter Duivesteijn, Xin Du, 2020, Data Mining and Knowledge Discovery.

Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally pdf

Mykola Pechenizkiy, Wouter Duivesteijn, Oren Zeev-Ben-Mordehai, 2018, ArXiv.

A comparative study of dimensionality reduction techniques to enhance trace clustering performances

Mykola Pechenizkiy, Minseok Song, H. Yang, 2013, Expert Syst. Appl..

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming

María José del Jesús, Mykola Pechenizkiy, Sebastián Ventura, 2018, IEEE Transactions on Cybernetics.

Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales

Mykola Pechenizkiy, Edward Tersoo Apeh, Bogdan Gabrys, 2012, SGAI Conf..

Techniques for discrimination-free predictive models (Chapter 12)

Tgk Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2013 .

Learning from medical data streams: an introduction

Mykola Pechenizkiy, Mohamed Medhat Gaber, Pedro Pereira Rodrigues, 2011 .

Personalization of Immediate Feedback to Learning Styles

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

Proceedings of the 21st IEEE international symposium on Computer-based medical systems CBMS 2008, Jyväskylä, Finland, June 17-19, 2008

Mykola Pechenizkiy, S. Puuronen, Alexey Tsymbal, 2008, CBMS 2008.

Using minimum description length for process mining

Toon Calders, Mykola Pechenizkiy, Christian W. Günther, 2009, SAC '09.

Modelling Embodied Mobility Teamwork Strategies in a Simulation-Based Healthcare Classroom

Mykola Pechenizkiy, Roberto Martínez Maldonado, Simon Buckingham Shum, 2017, UMAP.

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).

Diversity in Random Subspacing Ensembles

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2004, DaWaK.

Process Mining Online Assessment Data

Mykola Pechenizkiy, Wil M. P. van der Aalst, Wil M.P. van der Aalst, 2009, EDM.

Hippocrates: A Context-Aware, Collaboration Enabling Search Tool

Mykola Pechenizkiy, Anca I. D. Bucur, Georgios Aravanis, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Food Sales Prediction: "If Only It Knew What We Know"

Mykola Pechenizkiy, Patrick Meulstee, Mykola Pechenizkiy, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series

Mykola Pechenizkiy, Samaneh Khoshrou, 2019, DS.

The MOOClet Framework: Improving Online Education through Experimentation and Personalization of Modules

Neil T. Heffernan, Mykola Pechenizkiy, Joseph Jay Williams, 2014 .

Predicting Students Drop Out: A Case Study

Mykola Pechenizkiy, Gerben Dekker, Jan Vleeshouwers, 2009, EDM.

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).

Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning, Technische Universiteit Eindhoven, 9-10 June 2017

Mykola Pechenizkiy, Vlado Menkovski, Joaquin Vanschoren, 2017 .

Handbook of Educational Data Mining

Mykola Pechenizkiy, Sebastián Ventura, Cristóbal Romero, 2010 .

Generic Adaptation Process

Mykola Pechenizkiy, Paul De Bra, Evgeny Knutov, 2010, WABBWUAS@UMAP.

Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML-2007, Sissi, Crete, Greece, September 18, 2007)

Toon Calders, Mykola Pechenizkiy, C. Romero, 2008 .

How to Capitalise on Mobility, Proximity and Motion Analytics to Support Formal and Informal Education?

Mykola Pechenizkiy, Kalina Yacef, Roberto Martínez Maldonado, 2017, MMLA-CrossLAK@LAK.

Clustering-Structure Representative Sampling from Graph Streams

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2017, COMPLEX NETWORKS.

Adaptive web-based educational application for autistic students

Mykola Pechenizkiy, Natalia Stash, George H. L. Fletcher, 2016, HT.

Proceedings of 2nd International Workshop on Dynamic and Adaptive Hypertext (DAH'2011, Eindhoven, The Netherlands, June 6, 2011)

Mykola Pechenizkiy, Fabian Abel, Eelco Herder, 2012 .

ELBA: Exceptional Learning Behavior Analysis

Mykola Pechenizkiy, Wouter Duivesteijn, Xin Du, 2018, EDM.

EDM 2011: 4th international conference on educational data mining : Eindhoven, July 6-8, 2011 : proceedings

Cristina Conati, Tgk Toon Calders, Mykola Pechenizkiy, 2011, EDM 2011.

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.

Using the Minimum Description Length Principle to Evaluate Process Models

Mykola Pechenizkiy, A Anne Rozinat, Toon Calders, 2009, SAC 2009.

Supervised Human-Guided Data Exploration

Mykola Pechenizkiy, Kai Puolamäki, Samaneh Khoshrou, 2019, PKDD/ECML Workshops.

Please Scroll down for Article New Review of Hypermedia and Multimedia Ah 12 Years Later: a Comprehensive Survey of Adaptive Hypermedia Methods and Techniques Ah 12 Years Later: a Comprehensive Survey of Adaptive Hypermedia Methods and Techniques

Mykola Pechenizkiy, Paul De Bra, Evgeny Knutov, 2022 .

Stress analytics in education (Poster)

Mykola Pechenizkiy, Natalia Sidorova, Rafal Kocielnik, 2012, EDM 2012.

Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model

Mykola Pechenizkiy, Maurice Hendrix, Alexandra I. Cristea, 2008, EC-TEL.

Context-Aware Personal Route Recognition

Mykola Pechenizkiy, Oleksiy Mazhelis, Indre Zliobaite, 2011, Discovery Science.

RBEM: a rule based approach to polarity detection

Mykola Pechenizkiy, Erik Tromp, 2013, WISDOM '13.

Sequential Genetic Search for Ensemble Feature Selection

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2005, IJCAI.

CurriM: Curriculum Mining

Mykola Pechenizkiy, Pedro A. Toledo, Paul De Bra, 2012, EDM.

HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2013, Inf. Sci..

Stress Analytics in Education

Mykola Pechenizkiy, Natalia Sidorova, Rafal Kocielnik, 2012, EDM.

Trends in computer-based medical systems

Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal, 2012, SIGH.

Online Mass Flow Prediction in CFB Boilers

Mykola Pechenizkiy, Tommi Kärkkäinen, Timo Leino, 2009, ICDM.

Learning to Teach like a Bandit

Mykola Pechenizkiy, Pedro A. Toledo, 2014, EDM.

Adaptive Hypermedia Systems Analysis Approach by Means of the GAF Framework

Mykola Pechenizkiy, Paul De Bra, Evgeny Knutov, 2011, DAH@HT.

eHealth personalization in the next generation RPM systems

Mykola Pechenizkiy, Aleksandra Tesanovic, Goran Manev, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift

Mykola Pechenizkiy, Tommi Kärkkäinen, Indre Zliobaite, 2010, SKDD.

BNAIC 2006 : Benelux conference on artificial intelligence : proceedings of the twenty-first Benelux conference on artificial intelligence, Eindhoven, October 29-30, 2009

Tgk Toon Calders, Mykola Pechenizkiy, Karl Tuyls, 2009, BNAIC 2009.

Process mining from educational data (Chapter 9)

Mykola Pechenizkiy, van der Wmp Wil Aalst, Nikola Trcka, 2011, EDM 2011.

Tailoring of feedback in online assessment: Lessons learnt

Mykola Pechenizkiy, Ekaterina Vasilyeva, Pme Paul De Bra, 2008 .

Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

Mykola Pechenizkiy, Alessandro Di Bucchianico, Yingjun Deng, 2020, Reliab. Eng. Syst. Saf..

Towards the second order adaptation in the next generation remote patient management systems

Mykola Pechenizkiy, Aleksandra Tesanovic, Goran Manev, 2009 .

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.

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013

Mykola Pechenizkiy, Pedro Pereira Rodrigues, João Gama, 2013, CBMS.

Preface to the 2nd International Workshop on Handling Concept Drift in Adaptive Information Systems

Latifur Khan, Mykola Pechenizkiy, Indre Zliobaite, 2011, IEEE ICDM 2011.

Introduction to the special issue on handling concept drift in adaptive information systems

Mykola Pechenizkiy, Indre Zliobaite, 2013, Evol. Syst..

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..

Dealing with concept drifts in process mining : a case study in a Dutch municipality

Mykola Pechenizkiy, van der Wmp Wil Aalst, Indre Zliobaite, 2013 .

A white-box anomaly-based framework for database leakage detection

Jerry den Hartog, Sandro Etalle, Mykola Pechenizkiy, 2017, J. Inf. Secur. Appl..

Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching

Mykola Pechenizkiy, Natalia Sidorova, Rafal Kocielnik, 2012, IHI '12.

Towards more relevance-oriented data mining research

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

Stress detection from speech and Galvanic Skin Response signals

Mykola Pechenizkiy, Alexandr V. Maslov, Hindra Kurniawan, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Predictive Handling of Asynchronous Concept Drifts in Distributed Environments

Mykola Pechenizkiy, Steven C. H. Hoi, Vivekanand Gopalkrishnan, 2013, IEEE Transactions on Knowledge and Data Engineering.

Predictive analytics on evolving data streams anticipating and adapting to changes in known and unknown contexts

Mykola Pechenizkiy, Mykola Pechenizkiy, 2015, 2015 International Conference on High Performance Computing & Simulation (HPCS).

Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel pdf

Mykola Pechenizkiy, Erik Tromp, 2014, ArXiv.

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

Mykola Pechenizkiy, Yulong Pei, Decebal Constantin Mocanu, 2019, Neural Computing and Applications.

Class Association Rules Mining from Students' Test Data

Mykola Pechenizkiy, Sebastián Ventura, Cristóbal Romero, 2010, EDM.

Hunting the Unknown - White-Box Database Leakage Detection

Jerry den Hartog, Sandro Etalle, Mykola Pechenizkiy, 2014, DBSec.

Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study

Toon Calders, Mykola Pechenizkiy, Paul De Bra, 2008, EDM.

Feature extraction for supervised learning in knowledge discovery systems

Mykola Pechenizkiy, 2005 .

Effect of linear mixing in EEG on synchronization and complex network measures studied using the Kuramoto model

Mykola Pechenizkiy, Yulong Pei, Negar Ahmadi, 2019, Physica A: Statistical Mechanics and its Applications.

A Framework for Guiding the Museum Tour Personalization

Tgk Toon Calders, Mykola Pechenizkiy, Mykola Pechenizkiy, 2007 .

Discovering temporal hidden contexts in web sessions for user trail prediction

Toon Calders, Mykola Pechenizkiy, Hoang Thanh Lam, 2013, WWW.

Modelling Recurrent Events for Improving Online Change Detection

Mykola Pechenizkiy, Tommi Kärkkäinen, Indre Zliobaite, 2016, SDM.

Introduction into Sparks of the Learning Analytics Future.

Mykola Pechenizkiy, Dragan Gasevic, 2014 .

Versioning in adaptive hypermedia

Mykola Pechenizkiy, P.M.E. De Bra, Evgeny Knutov, 2009 .

Towards the Generic Framework for Utility Considerations in Data Mining Research

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

Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance case-study

John Hannon, Mykola Pechenizkiy, Barry Smyth, 2011, DAH@HT.

Dynamic integration of classifiers for handling concept drift

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

Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy and stochastic time series

Mykola Pechenizkiy, Negar Ahmadi, Rene M. H. Besseling, 2018, Social Network Analysis and Mining.

Handling outliers and concept drift in online mass flow prediction in CFB boilers

Mykola Pechenizkiy, Tommi Kärkkäinen, Indre Zliobaite, 2009, SensorKDD '09.

GRAPPLE: Integrating Adaptive Learning into Learning Management Systems

Mykola Pechenizkiy, Paul De Bra, Kees van der Sluijs, 2008 .

Building Classifiers with Independency Constraints

Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Proceedings of the International Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems (WABBWUAS'10, Hawaii, USA, June 21, 2010)

Mykola Pechenizkiy, Eelco Herder, Fabian Abel, 2010 .

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.

Analysis of Feedback Authoring Possibilities in Web-based Learning Systems

Mykola Pechenizkiy, Paul De Bra, Ekaterina Vasilyeva, 2008 .

Infinite Motif Stochastic Blockmodel for Role Discovery in Networks

Mykola Pechenizkiy, George H. L. Fletcher, Jianpeng Zhang, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011).

Cristina Conati, Toon Calders, Mykola Pechenizkiy, 2011, EDM 2011.

Mining exceptional relationships with grammar-guided genetic programming

Mykola Pechenizkiy, Sebastián Ventura, José María Luna, 2015, Knowledge and Information Systems.

OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers

Mykola Pechenizkiy, Indre Zliobaite, Jorn Bakker, 2009, Discovery Science.

Generic Adaptation Framework: a Process-Oriented Perspective

Mykola Pechenizkiy, Paul De Bra, Evgeny Knutov, 2011, J. Digit. Inf..

Conference Committees

Victor Maojo, Mykola Pechenizkiy, Alexey Tsymbal, 2005, IWPC.

Evaluation of the Sample Clustering Process on Graphs

Mykola Pechenizkiy, George H. L. Fletcher, Yulong Pei, 2020, IEEE Transactions on Knowledge and Data Engineering.

Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution

Mykola Pechenizkiy, Paul De Bra, David Smits, 2011, WEBIST.

Process mining: on the balance between underfitting and overfitting

Mykola Pechenizkiy, W.M.P. van der Aalst, A. K. Alves de Medeiros, 2008 .

Towards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning

Mykola Pechenizkiy, Olga C. Santos, Kalina Yacef, 2017, 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT).

Adaptation of feedback in e-learning systems at individual and group level

Mykola Pechenizkiy, Pme Paul De Bra, Ekaterina Vasilyeva, 2007 .

Learning with delayed synaptic plasticity

Mykola Pechenizkiy, George H. L. Fletcher, Giovanni Iacca, 2019, GECCO.

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data

Mykola Pechenizkiy, Sebastián Ventura, José María Luna, 2018, IEEE Transactions on Cybernetics.

ReliefF-MI: An extension of ReliefF to multiple instance learning

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2012, Neurocomputing.

Proceedings of the 21st Benelux conference on Artificial Intelligence

Toon Calders, Mykola Pechenizkiy, Karl Tuyls, 2009 .

Learning with Actionable Attributes: Attention -- Boundary Cases!

Mykola Pechenizkiy, Indre Zliobaite, I. Žliobaitė, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Towards EDM Framework for Personalization of Information Services in RPM Systems

Mykola Pechenizkiy, Aleksandra Tesanovic, Sicco Verwer, 2010, EDM.

Data Mining Strategy Selection via Empirical and Constructive Induction

Mykola Pechenizkiy, 2005, Databases and Applications.

A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems pdf

Mykola Pechenizkiy, Bamshad Mobasher, Masoud Mansoury, 2021, ACM Trans. Inf. Syst..

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles pdf

Mykola Pechenizkiy, Wouter Duivesteijn, Subramanian Ramamoorthy, 2021, ArXiv.

Self-Attention Meta-Learner for Continual Learning

Mykola Pechenizkiy, Decebal Constantin Mocanu, Ghada Sokar, 2021, AAMAS.

How Fair is Fairness-aware Representative Ranking and Methods for Fair Ranking pdf

Mykola Pechenizkiy, Akrati Saxena, George Fletcher, 2021, ArXiv.

The Impact of Batch Learning in Stochastic Bandits pdf

Mykola Pechenizkiy, Pratik Gajane, Danil Provodin, 2021, ArXiv.

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity

Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu, 2021 .

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, Data Mining and Knowledge Discovery.

Selfish Sparse RNN Training pdf

Mykola Pechenizkiy, Decebal Constantin Mocanu, Yulong Pei, 2021, ICML.

Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders pdf

Mykola Pechenizkiy, Raymond Veldhuis, Decebal Constantin Mocanu, 2020, Machine Learning.

Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions

Mykola Pechenizkiy, Wouter Duivesteijn, Marcos L. P. Bueno, 2021, Data Min. Knowl. Discov..

Addressing the Stability-Plasticity Dilemma via Knowledge-Aware Continual Learning pdf

Mykola Pechenizkiy, Decebal Constantin Mocanu, Ghada Sokar, 2021, ArXiv.

ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks

Mykola Pechenizkiy, Yulong Pei, Tianjin Huang, 2021, Machine Learning.

Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Introduction to The Special Section on Bias and Fairness in AI

Bodo Rosenhahn, Mykola Pechenizkiy, Salvatore Ruggieri, 2021, SIGKDD Explor..

Efficient and effective training of sparse recurrent neural networks

Mykola Pechenizkiy, Vlado Menkovski, Decebal Constantin Mocanu, 2021, Neural Computing and Applications.

Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks pdf

Mykola Pechenizkiy, Yulong Pei, Tianjin Huang, 2021, ArXiv.

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity pdf

Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu, 2021, ArXiv.

The banking transactions dataset and its comparative analysis with scale-free networks

Mykola Pechenizkiy, Akrati Saxena, Werner van Ipenburg, 2021, ASONAM.

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration pdf

Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu, 2021, ArXiv.

Direction-aggregated Attack for Transferable Adversarial Examples pdf

Mykola Pechenizkiy, Yulong Pei, Tianjin Huang, 2021, ACM J. Emerg. Technol. Comput. Syst..

Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation pdf

Mykola Pechenizkiy, Bamshad Mobasher, Masoud Mansoury, 2021, ArXiv.

HM-EIICT: Fairness-aware link prediction in complex networks using community information

Mykola Pechenizkiy, Akrati Saxena, George Fletcher, 2021, Journal of Combinatorial Optimization.

How Fair is Fairness-aware Representative Ranking?

Mykola Pechenizkiy, Akrati Saxena, George Fletcher, 2021, WWW.

Semantic-Based Few-Shot Learning by Interactive Psychometric Testing pdf

Mykola Pechenizkiy, Vlado Menkovski, Yulong Pei, 2021, ArXiv.

Hierarchical Semantic Segmentation using Psychometric Learning pdf

Mykola Pechenizkiy, Vlado Menkovski, Shiwei Liu, 2021, ACML.

Calibrated Adversarial Training pdf

Mykola Pechenizkiy, Vlado Menkovski, Yulong Pei, 2021, ArXiv.

Truly Sparse Neural Networks at Scale pdf

Mykola Pechenizkiy, Decebal Constantin Mocanu, Selima Curci, 2021, ArXiv.

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

Mykola Pechenizkiy, Decebal Constantin Mocanu, Lu Yin, 2021, ICML.

ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection

Mykola Pechenizkiy, Vlado Menkovski, Iftitahu Ni'mah, 2021, EMNLP.

NodeSim: node similarity based network embedding for diverse link prediction pdf

Mykola Pechenizkiy, Akrati Saxena, George Fletcher, 2021, EPJ Data Science.

On Generalization of Graph Autoencoders with Adversarial Training

Mykola Pechenizkiy, Vlado Menkovski, Yulong Pei, 2021, ECML/PKDD.

Dynamic Sparse Training for Deep Reinforcement Learning pdf

Mykola Pechenizkiy, Peter Stone, Decebal Constantin Mocanu, 2021, ArXiv.

Patient condition modeling in remote patient management : hospitalization prediction

Mykola Pechenizkiy, Aleksandra Tesanovic, Pme Paul De Bra, 2010 .

Why Data Mining Research Does Not Contribute to Business ?

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

International Workshop on Applying Data Mining in e-Learning ( ADML ’ 07 ) as part of the Second European Conference on Technology Enhanced Learning ( EC-TEL 07 )

Toon Calders, Mykola Pechenizkiy, Cristóbal Romero, 2007 .

Clustering Affiliation Inference from Graph Samples

Mykola Pechenizkiy, Kaijie Zhu, Yulong Pei, 2018 .

Proceedings of the first international workshop on Handling concept drift in adaptive information systems : importance, challenges and solutions, HaCDAIS 2010, Barcelona, Spain, September 24, 2010, held in conjunction with ECML/PKDD 2010

Mykola Pechenizkiy, I. Zliobaite, 2010 .

Predicting the past: memory based copyist and author discrimination in medieval epics.

Mykola Pechenizkiy, Mike Kestemont, Karl Tuyls, 2009 .

Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

Dragan Gasevic, Mykola Pechenizkiy, Dragan Gasevic, 2020, Br. J. Educ. Technol..