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Mykola Pechenizkiy

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

141

Venues

48

Active years

2002–2026

Best venue rank

A*

Where they publish

Papers

141 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIInvestigating Social Bias Propagation in Federated Fine-tuning of Large Language Models.Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy
2026ACLmPresenter: An Agentic Framework for Generating Multilingual Presentation Videos from Scientific Papers.Wenhan Han, Xiao Xiao, Mykola Pechenizkiy, Meng Fang
2026ACLMuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages.Wenhan Han, Yifan Zhang, Zhixun Chen, Binbin Liu, Mykola Pechenizkiy, Meng Fang, Yin Zheng
2026AIMEEvaluating Static and Dynamic Approaches for Assessing Trustworthiness in Medical Risk Factor Forecasting.Ana Krstevska, Rianne Margaretha Schouten, Soroush Ghandi, Mykola Pechenizkiy, Mitja Lustrek
2026EACLMATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia.Xiao Xiao, Iftitahu Ni'mah, Yuyun Wabula, Mykola Pechenizkiy, Meng Fang
2025AAAIVisual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective.Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2025ACLUnderstanding Large Language Model Vulnerabilities to Social Bias Attacks.Jiaxu Zhao, Meng Fang, Fanghua Ye, Ke Xu, Qin Zhang, Joey Tianyi Zhou, Mykola Pechenizkiy
2025ACLUnmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models.Jiaxu Zhao, Meng Fang, Kun Zhang, Mykola Pechenizkiy
2025ECAIFrom Benchmarking to Understanding FairML.Mykola Pechenizkiy, Hilde J. P. Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich
2025EMNLPBenchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving.Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen
2025ICDMBeyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles.Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy
2025ICLRRuAG: Learned-rule-augmented Generation for Large Language Models.Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
2025ICLRHASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents.Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
2025ICLRDynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness.Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu
2025ICMLPreference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization.Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang
2025VEHITSEnergy Consumption Prediction with Uncertainty Quantification for Electric Truck Operations: A Data-Driven Approach.Rik Litjens, Rbinson Medina, Nikos Avramis, Camiel Beckers, S. Steven Wilkins, Mykola Pechenizkiy
2024AAAILarge Language Models Are Neurosymbolic Reasoners.Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024ACLMore than Minorities and Majorities: Understanding Multilateral Bias in Language Generation.Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy
2024AISTATSSupervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks.Kaiting Liu, Zahra Atashgahi, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024BMVCAre Sparse Neural Networks Better Hard Sample Learners?Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024ECAIUnveiling the Power of Sparse Neural Networks for Feature Selection.Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2024EMNLPMedINST: Meta Dataset of Biomedical Instructions.Wenhan Han, Meng Fang, Zihan Zhang, Yu Yin, Zirui Song, Ling Chen, Mykola Pechenizkiy, Qingyu Chen
2024EMNLPCHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models.Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang
2024ICLRTask Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning.Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2024ICMLOutlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu
2024ICMLEfficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling.Danil Provodin, Maurits Clemens Kaptein, Mykola Pechenizkiy
2024InterspeechDynamic Data Pruning for Automatic Speech Recognition.Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu
2024IDAA Structural-Clustering Based Active Learning for Graph Neural Networks.Ricky Maulana Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy
2023AAAILottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost.Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy
2023ACLNLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2023ACLCHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023ICDEFALL: A Modular Adaptive Learning Platform for Streaming Data.Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2023ICLRMore ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Krkkinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2023ICMLAre Large Kernels Better Teachers than Transformers for ConvNets?Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023IDALEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models.Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy
2022DSAAA Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet
2022EDMIndividual Fairness Evaluation for Automated Essay Scoring System.Afrizal Doewes, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy
2022EDMFATED 2022: Fairness, Accountability, and Transparency in Educational Data.Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
2022ICDMThe Impact of Batch Learning in Stochastic Linear Bandits.Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein
2022ICLRDeep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2022ICLRThe Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022IJCAIDynamic Sparse Training for Deep Reinforcement Learning.Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2022IDASemantic-Based Few-Shot Classification by Psychometric Learning.Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy
2022NAACLPhrase-level Textual Adversarial Attack with Label Preservation.Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
2022NordiCHICharacterizing Data Scientists' Mental Models of Local Feature Importance.Dennis Collaris, Hilde J. P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy
2022UAISuperposing many tickets into one: A performance booster for sparse neural network training.Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy
2022SDMExceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS).Rianne Margaretha Schouten, Wouter Duivesteijn, Mykola Pechenizkiy
2021ACMLcalibrated adversarial training.Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy
2021ACMLHierarchical Semantic Segmentation using Psychometric Learning.Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy
2021DSAAAnalyzing and Repairing Concept Drift Adaptation in Data Stream Classification.Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
2021DSAAResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks.Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy
2021EDMOn the Limitations of Human-Computer Agreement in Automated Essay Scoring.Afrizal Doewes, Mykola Pechenizkiy
2021EMNLPProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection.Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2021ICDEFingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
2021ICMLSelfish Sparse RNN Training.Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
2021ICMLDo We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training.Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021WWWHow Fair is Fairness-aware Representative Ranking?Akrati Saxena, George Fletcher, Mykola Pechenizkiy
2020AAAIFairness in Network Representation by Latent Structural Heterogeneity in Observational Data.Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy
2020CIKMFeedback Loop and Bias Amplification in Recommender Systems.Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020EDMStructural Explanation of Automated Essay Scoring.Afrizal Doewes, Mykola Pechenizkiy
2020FlAIRSInvestigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
2020GECCONovelty producing synaptic plasticity.Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy
2019DISAdaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series.Samaneh Khoshrou, Mykola Pechenizkiy
2019GECCOLearning with delayed synaptic plasticity.Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
2019RecSysBias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison.Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
2019VTCVANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance.Yuhao Wang, Vlado Menkovski, Ivan Wang Hei Ho, Mykola Pechenizkiy
2018CBMSFinding Predictive EEG Complexity Features for Classification of Epileptic and Psychogenic Nonepileptic Seizures Using Imperialist Competitive Algorithm.Negar Ahmadi, Evelien Carrette, Albert P. Aldenkamp, Mykola Pechenizkiy
2018EDMELBA: Exceptional Learning Behavior Analysis.Xin Du, Wouter Duivesteijn, Mykola Pechenizkiy
2018GECCOLimited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution.Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy
2018IJCAIDyNMF: Role Analytics in Dynamic Social Networks.Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy
2018WWWTink: A Temporal Graph Analytics Library for Apache Flink.Wouter Ligtenberg, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy
2017CBMSDetection of Alcoholism Based on EEG Signals and Functional Brain Network Features Extraction.Negar Ahmadi, Yulong Pei, Mykola Pechenizkiy
2017ICALTTowards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning.Roberto Martnez Maldonado, Kalina Yacef, Augusto Dias Pereira dos Santos, Simon Buckingham Shum, Vanessa Echeverra, Olga C. Santos, Mykola Pechenizkiy
2017IJCNNBLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints.Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Krkkinen, Jaakko Hollmn
2017LAKHow to Capitalise on Mobility, Proximity and Motion Analytics to Support Formal and Informal Education?Roberto Martnez Maldonado, Augusto Dias Pereira dos Santos, Vanessa Echeverra, Kalina Yacef, Mykola Pechenizkiy
2016CBMSApplication of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony.Negar Ahmadi, Mykola Pechenizkiy
2016SACOn structure preserving sampling and approximate partitioning of graphs.Wouter van Heeswijk, George H. L. Fletcher, Mykola Pechenizkiy
2016SACDOBRO: a prediction error correcting robot under drifts.Alexandr V. Maslov, Hoang Thanh Lam, Mykola Pechenizkiy, Eric Bouillet, Tommi Krkkinen
2016SACA robust density-based clustering algorithm for multi-manifold structure.Jianpeng Zhang, Mykola Pechenizkiy, Yulong Pei, Julia Efremova
2016SDMModelling Recurrent Events for Improving Online Change Detection.Alexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Krkkinen
2015CBMSHippocrates: A Context-Aware, Collaboration Enabling Search Tool.Georgios Aravanis, Anca I. D. Bucur, Mykola Pechenizkiy
2015EDMGrand Challenges for EDM and Related Research Areas.Ryan S. Baker, Peter Brusilovsky, Dragan Gasevic, Neil T. Heffernan, Mykola Pechenizkiy, Alyssa Friend Wise
2015EDMEthics and Privacy in EDM.Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaane
2014CBMSTowards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness.Hindra Kurniawan, Mykola Pechenizkiy
2014DBSECHunting the Unknown - White-Box Database Leakage Detection.Elisa Costante, Jerry den Hartog, Milan Petkovic, Sandro Etalle, Mykola Pechenizkiy
2014EDMLearning to Teach like a Bandit.Mykola Pechenizkiy, Pedro A. Toledo
2013CBMSStress detection from speech and Galvanic Skin Response signals.Hindra Kurniawan, Alexandr V. Maslov, Mykola Pechenizkiy
2013CBMSACLAC: An approach for adaptive closed-loop anesthesia control.Ayoze Marrero, Juan A. Mndez, Alexandr V. Maslov, Mykola Pechenizkiy
2013ICDMPredicting Current User Intent with Contextual Markov Models.Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
2013KDDCross-lingual polarity detection with machine translation.Erkin Demirtas, Mykola Pechenizkiy
2013KDDRBEM: a rule based approach to polarity detection.Erik Tromp, Mykola Pechenizkiy
2013WWWDiscovering temporal hidden contexts in web sessions for user trail prediction.Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
2012EDMStress Analytics in Education.Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova
2012EDMCurriM: Curriculum Mining.Mykola Pechenizkiy, Nikola Trcka, Paul De Bra, Pedro A. Toledo
2012KESMobile Sentiment Analysis.Lorraine Chambers, Erik Tromp, Mykola Pechenizkiy, Mohamed Medhat Gaber
2012SGAIPredicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales.Edward Tersoo Apeh, Indre Zliobaite, Mykola Pechenizkiy, Bogdan Gabrys
2011CaiSEHandling Concept Drift in Process Mining.R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, Indre Zliobaite, Mykola Pechenizkiy
2011DISContext-Aware Personal Route Recognition.Oleksiy Mazhelis, Indre Zliobaite, Mykola Pechenizkiy
2011ICDMWhat's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data.Jorn Bakker, Mykola Pechenizkiy, Natalia Sidorova
2011ICDMSentiCorr: Multilingual Sentiment Analysis of Personal Correspondence.Erik Tromp, Mykola Pechenizkiy
2011WEBISTBridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution.Evgeny Knutov, Paul De Bra, David Smits, Mykola Pechenizkiy
2010CBMSHeart failure hospitalization prediction in remote patient management systems.Mykola Pechenizkiy, Ekaterina Vasilyeva, Indre Zliobaite, Aleksandra Tesanovic, Goran Manev
2010CBMSHandling concept drift in medical applications: Importance, challenges and solutions.Mykola Pechenizkiy, Indre Zliobaite
2010CBMSA holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional users.Seppo Puuronen, Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic
2010EDMClass Association Rules Mining from Students' Test Data.Cristbal Romero, Sebastin Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy
2010EDMTowards EDM Framework for Personalization of Information Services in RPM Systems.Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Sicco Verwer, Paul De Bra
2010HAISReducing Dimensionality in Multiple Instance Learning with a Filter Method.Amelia Zafra, Mykola Pechenizkiy, Sebastin Ventura
2010ICDMDiscrimination Aware Decision Tree Learning.Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
2010ICDMLearning with Actionable Attributes: Attention -- Boundary Cases!Indre Zliobaite, Mykola Pechenizkiy
2010ISDAFeature selection is the ReliefF for multiple instance learning.Amelia Zafra, Mykola Pechenizkiy, Sebastin Ventura
2009CBMSeHealth personalization in the next generation RPM systems.Aleksandra Tesanovic, Goran Manev, Mykola Pechenizkiy, Ekaterina Vasilyeva
2009DISOMFP: An Approach for Online Mass Flow Prediction in CFB Boilers.Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy
2009EDMPredicting Students Drop Out: A Case Study.Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwers
2009EDMProcess Mining Online Assessment Data.Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil M. P. van der Aalst, Paul De Bra
2009ICDMBuilding Classifiers with Independency Constraints.Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
2009ICDMTowards Context Aware Food Sales Prediction.Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy
2009ISDAFrom Local Patterns to Global Models: Towards Domain Driven Educational Process Mining.Nikola Trcka, Mykola Pechenizkiy
2009ISMISFood Wholesales Prediction: What Is Your Baseline?Jorn Bakker, Mykola Pechenizkiy
2009KDDHandling outliers and concept drift in online mass flow prediction in CFB boilers.Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, Andriy Ivannikov, Tommi Krkkinen
2009SACUsing minimum description length for process mining.Toon Calders, Christian W. Gnther, Mykola Pechenizkiy, Anne Rozinat
2008CBMSEffectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance.Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
2008EDMMining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study.Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, Paul De Bra
2008ICALTTailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness.Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizkiy, Seppo Puuronen
2008ICDMFood Sales Prediction: "If Only It Knew What We Know".Patrick Meulstee, Mykola Pechenizkiy
2008ITSTailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment.Ekaterina Vasilyeva, Mykola Pechenizkiy, Paul De Bra
2007ICALTWorkshop on Educational Data Mining @ ICALT07 (EDM@ICALT07).Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola
2007ICALTPersonalization of Immediate Feedback to Learning Styles.Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana Gavrilova, Seppo Puuronen
2006CBMSClass Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction.Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Oleksandr Pechenizkiy
2006CBMSHandling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections.Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen
2006ICALTThe Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System.Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen
2006SACThe impact of sample reduction on PCA-based feature extraction for supervised learning.Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2005AIThe Impact of Feature Extraction on the Performance of a Classifier: kNN, Nave Bayes and C4.5.Mykola Pechenizkiy
2005CBMSLocal Dimensionality Reduction within Natural Clusters for Medical Data Analysis.Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
2005CBMSTowards the Framework of Adaptive User Interfaces for eHealth.Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen
2005IJCAISequential Genetic Search for Ensemble Feature Selection.Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
2004CBMSPCA-based Feature Transformation for Classification: Issues in Medical Diagnostics.Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
2004DaWaKDiversity in Random Subspacing Ensembles.Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
2003ADBISDynamic Integration of Classifiers in the Space of Principal Components.Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson
2003CBMSSearch Strategies for Ensemble Feature Selection in Medical Diagnostics.Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen
2003KESFeature Extraction for Classification in Knowledge Discovery Systems.Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
2002FlAIRSEigenvector-Based Feature Extraction for Classification.Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson