Mykola Pechenizkiy
Orcid: 0000-0003-4955-0743Affiliations:
- Eindhoven University of Technology, Netherlands
According to our database1,
Mykola Pechenizkiy
authored at least 287 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on d-nb.info
-
on win.tue.nl
On csauthors.net:
Bibliography
2024
J. Artif. Intell. Res., 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Appl. Intell., November, 2023
Expert Syst. Appl., September, 2023
Trans. Mach. Learn. Res., 2023
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.
ACM Trans. Knowl. Discov. Data, 2023
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
CoRR, 2023
CoRR, 2023
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering.
CoRR, 2023
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.
CoRR, 2023
Provably Efficient Exploration in Constrained Reinforcement Learning: Posterior Sampling Is All You Need.
CoRR, 2023
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning.
CoRR, 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the Complex Networks & Their Applications XII, 2023
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems.
ACM Trans. Inf. Syst., 2022
Introduction to the Special Section on AI in Manufacturing: Current Trends and Challenges.
SIGKDD Explor., 2022
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks.
Mach. Learn., 2022
Mach. Learn., 2022
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
Mach. Learn., 2022
Mach. Learn., 2022
ACM J. Emerg. Technol. Comput. Syst., 2022
HM-EIICT: Fairness-aware link prediction in complex networks using community information.
J. Comb. Optim., 2022
Future Gener. Comput. Syst., 2022
EPJ Data Sci., 2022
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.
Data Min. Knowl. Discov., 2022
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering.
CoRR, 2022
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training.
CoRR, 2022
Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning.
CoRR, 2022
Superposing many tickets into one: A performance booster for sparse neural network training.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the NordiCHI '22: Nordic Human-Computer Interaction Conference, Aarhus, Denmark, October 8, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
Neural Comput. Appl., 2021
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware.
Neural Comput. Appl., 2021
Evol. Comput., 2021
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov., 2021
Adversarial balancing-based representation learning for causal effect inference with observational data.
Data Min. Knowl. Discov., 2021
CoRR, 2021
CoRR, 2021
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation.
CoRR, 2021
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.
CoRR, 2021
CoRR, 2021
Proceedings of the Companion of The Web Conference 2021, 2021
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
On the Limitations of Human-Computer Agreement in Automated Essay Scoring.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
The banking transactions dataset and its comparative analysis with scale-free networks.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model.
Reliab. Eng. Syst. Saf., 2020
Data Min. Knowl. Discov., 2020
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling.
Data Min. Knowl. Discov., 2020
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic.
CoRR, 2020
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features.
Brain Informatics, 2020
Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning.
Br. J. Educ. Technol., 2020
Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios.
IEEE Access, 2020
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Generation of False Data Injection Attacks using Conditional Generative Adversarial Networks.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration.
CoRR, 2019
CoRR, 2019
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models.
CoRR, 2019
CoRR, 2019
VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Joint role and community detection in networks via <i>L</i><sub>2, 1</sub> norm regularized nonnegative matrix tri-factorization.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
IEEE Trans. Cybern., 2018
IEEE Trans. Cybern., 2018
Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy and stochastic time series.
Soc. Netw. Anal. Min., 2018
Intell. Data Anal., 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Applications of Evolutionary Computation, 2018
Proceedings of the 11th International Conference on Educational Data Mining, 2018
Finding Predictive EEG Complexity Features for Classification of Epileptic and Psychogenic Nonepileptic Seizures Using Imperialist Competitive Algorithm.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
2017
J. Inf. Secur. Appl., 2017
Modelling Embodied Mobility Teamwork Strategies in a Simulation-Based Healthcare Classroom.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
How to Capitalise on Mobility, Proximity and Motion Analytics to Support Formal and Informal Education?
Proceedings of the Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017
Proceedings of the Complex Networks & Their Applications VI, 2017
Detection of Alcoholism Based on EEG Signals and Functional Brain Network Features Extraction.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
J. Learn. Anal., December, 2016
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue.
IEEE Trans. Learn. Technol., 2016
IEEE Trans. Cybern., 2016
Knowl. Inf. Syst., 2016
A survey on using domain and contextual knowledge for human activity recognition in video streams.
Expert Syst. Appl., 2016
Proceedings of the Late-breaking Results, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Explaining Soccer Match Outcomes with Goal Scoring Opportunities Predictive Analytics.
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016
Proceedings of the Late-breaking Results, 2016
Application of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Proceedings of the Advances in Social Media Analysis, 2015
Predictive analytics on evolving data streams anticipating and adapting to changes in known and unknown contexts.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
The influence of dataset size on the performance of cell outage detection approach in LTE-A networks.
Proceedings of the 10th International Conference on Information, 2015
2014
J. Learn. Anal., November, 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
CoRR, 2014
Proceedings of The Twenty-Third Text REtrieval Conference, 2014
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014
Proceedings of the 7th International Conference on Educational Data Mining, 2014
Proceedings of the Data and Applications Security and Privacy XXVIII, 2014
Towards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Proceedings of the Discrimination and Privacy in the Information Society, 2013
IEEE Trans. Knowl. Data Eng., 2013
Inf. Sci., 2013
Introduction to the special issue on handling concept drift in adaptive information systems.
Evol. Syst., 2013
A comparative study of dimensionality reduction techniques to enhance trace clustering performances.
Expert Syst. Appl., 2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 2013
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Neurocomputing, 2012
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
Expert Syst. Appl., 2012
Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching.
Proceedings of the ACM International Health Informatics Symposium, 2012
Proceedings of the 5th International Conference on Educational Data Mining, 2012
Proceedings of the 5th International Conference on Educational Data Mining, 2012
2011
Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution.
Proceedings of the WEBIST 2011, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, 2011
Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance case-study.
Proceedings of the Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, 2011
Proceedings of the Discovery Science - 14th International Conference, 2011
Proceedings of the Advanced Information Systems Engineering, 2011
2010
Proceedings of the Data Mining for Business Applications, 2010
Artif. Intell. Medicine, 2010
Proceedings of the International Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Educational Data Mining 2010, 2010
Proceedings of the Educational Data Mining 2010, 2010
A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional users.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
Handling concept drift in medical applications: Importance, challenges and solutions.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
2009
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift.
SIGKDD Explor., 2009
AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques.
New Rev. Hypermedia Multim., 2009
Data Knowl. Eng., 2009
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009
From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009
Proceedings of the Educational Data Mining, 2009
Proceedings of the Educational Data Mining, 2009
Proceedings of the Discovery Science, 12th International Conference, 2009
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009
2008
Proceedings of the Data Mining: Foundations and Practice, 2008
Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness.
Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies, 2008
Proceedings of the Educational Data Mining 2008, 2008
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008
Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model.
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008
2007
Fundam. Informaticae, 2007
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007
2006
Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis.
IEEE Trans. Inf. Technol. Biomed., 2006
The impact of sample reduction on PCA-based feature extraction for supervised learning.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006
Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
2005
Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the WM 2005: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management, 2005
Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005
Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005
Data Mining Strategy Selection via Empirical and Constructive Induction.
Proceedings of the IASTED International Conference on Databases and Applications, 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5.
Proceedings of the Advances in Artificial Intelligence, 2005
2004
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004
2003
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003
Proceedings of the Advances in Databases and Information Systems, 2003
2002
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002