Bogdan Gabrys
Orcid: 0000-0002-0790-2846
According to our database1,
Bogdan Gabrys
authored at least 165 papers
between 2000 and 2024.
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Bibliography
2024
Found. Trends Mach. Learn., 2024
Found. Trends Mach. Learn., 2024
On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning.
Expert Syst. Appl., 2024
Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects.
Appl. Soft Comput., 2024
Corrections to "A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction".
IEEE Access, 2024
2023
Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality.
Mach. Learn. Sci. Technol., December, 2023
Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems.
Appl. Soft Comput., October, 2023
Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
SoftwareX, July, 2023
Appl. Soft Comput., April, 2023
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry.
Found. Trends Inf. Syst., 2023
The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives.
Found. Trends Hum. Comput. Interact., 2023
Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities.
CoRR, 2023
CoRR, 2023
Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems.
CoRR, 2023
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules.
CoRR, 2023
CoRR, 2023
IEEE Access, 2023
IEEE Access, 2023
GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning.
CoRR, 2022
CoRR, 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey.
CoRR, 2022
Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey.
IEEE Access, 2022
IEEE Access, 2022
Analysing Egocentric Networks via Local Structure and Centrality Measures: A Study on Chronic Pain Patients.
Proceedings of the International Conference on Information Networking, 2022
2021
An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network.
IEEE Trans. Fuzzy Syst., 2021
Soft Comput., 2021
Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule.
Inf. Sci., 2021
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network.
Neurocomputing, 2021
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation.
Expert Syst. Appl., 2021
Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems.
CoRR, 2021
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey.
IEEE Access, 2021
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Analysing Ego-Networks via Typed-Edge Graphlets: A Case Study of Chronic Pain Patients.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021
2020
A comparative study of general fuzzy min-max neural networks for pattern classification problems.
Neurocomputing, 2020
Scoring and assessment in medical VR training simulators with dynamic time series classification.
Eng. Appl. Artif. Intell., 2020
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems.
CoRR, 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey.
CoRR, 2020
Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule.
CoRR, 2020
Comput. Chem. Eng., 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the Complex Networks & Their Applications IX, 2020
2019
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA.
IEEE Trans Autom. Sci. Eng., 2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network.
CoRR, 2019
A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
2018
Adaptive community detection incorporating topology and content in social networks<sup>✰</sup>.
Knowl. Based Syst., 2018
Comput. Sci. Rev., 2018
Proceedings of the Knowledge Science, Engineering and Management, 2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
2017
Expert Syst. J. Knowl. Eng., 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst., 2016
Comput. Sci. Rev., 2016
CoRR, 2016
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Augmenting adaptation with retrospective model correction for non-stationary regression problems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry.
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Customer profile classification: To adapt classifiers or to relabel customer profiles?
Neurocomputing, 2014
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014
Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
Linearizing Controller for Higher-degree Nonlinear Processes with Compensation for Modeling Inaccuracies - Practical Validation and Future Developments.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014
Multicriteria approaches for predictive model generation: A comparative experimental study.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014
2013
WIREs Data Mining Knowl. Discov., 2013
Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2013
Memetic Comput., 2013
Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data.
Evol. Syst., 2013
Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning.
Proceedings of the 3rd International Symposium on Data-driven Process Discovery and Analysis, 2013
Proceedings of the Research and Development in Intelligent Systems XXX, 2013
Investigation of Expert Addition Criteria for Dynamically Changing Online Ensemble Classifiers with Multiple Adaptive Mechanisms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013
Proceedings of the Man-Machine Interactions 3, 2013
What kind of network are you?: using local and global characteristics in network categorisation tasks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems.
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection.
Expert Syst. Appl., 2012
Proceedings of the Research and Development in Intelligent Systems XXIX, 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
Application of Base Learners as Conditional Input for Fuzzy Rule-Based Combined System.
Proceedings of the Computational Intelligence - International Joint Conference, 2012
Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Electrostatic field framework for supervised and semi-supervised learning from incomplete data.
Nat. Comput., 2011
On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling.
Entropy, 2011
Comput. Chem. Eng., 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming.
Proceedings of the ECTA and FCTA 2011, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
Proceedings of the International Conference on Computational Science, 2010
Neurocomputing, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Proceedings of the Computer Recognition Systems 3, 2009
Nat. Comput., 2009
Memetic Comput., 2009
Comput. Informatics, 2009
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009
Proceedings of the Image Analysis and Processing, 2009
Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Financial Engineering, 2009
2008
Proceedings of the New Challenges in Applied Intelligence Technologies, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008
2007
Int. J. Knowl. Based Intell. Eng. Syst., 2007
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
2006
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
2005
2004
Combining labelled and unlabelled data in the design of pattern classification systems.
Int. J. Approx. Reason., 2004
Int. J. Approx. Reason., 2004
Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine?
Fuzzy Sets Syst., 2004
Proceedings of the Operations Research, 2004
2003
2002
J. VLSI Signal Process., 2002
A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.
Pattern Anal. Appl., 2002
Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems.
Int. J. Approx. Reason., 2002
Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
2001
Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000