Bogdan Gabrys

According to our database1, Bogdan Gabrys authored at least 104 papers between 2000 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Adaptive community detection incorporating topology and content in social networks.
Knowl.-Based Syst., 2018

Change point detection in social networks - Critical review with experiments.
Computer Science Review, 2018

Robust Detection of Communities with Multi-semantics in Large Attributed Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2017
A hybrid model for business process event and outcome prediction.
Expert Systems, 2017

Multiple adaptive mechanisms for data-driven soft sensors.
Computers & Chemical Engineering, 2017

Adaptive Community Detection Incorporating Topology and Content in Social Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

A Community Bridge Boosting Social Network Link Prediction Model.
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

An overview of self-adaptive technologies within virtual reality training.
Computer Science Review, 2016

Automatic composition and optimisation of multicomponent predictive systems.
CoRR, 2016

Comparing and Combining Time Series Trajectories Using Dynamic Time Warping.
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

Local Learning for Multi-layer, Multi-component Predictive System.
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

Towards Automatic Composition of Multicomponent Predictive Systems.
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
Metalearning: a survey of trends and technologies.
Artif. Intell. Rev., 2015

On sequences of different adaptive mechanisms in non-stationary regression problems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Adaptive Preprocessing for Streaming Data.
IEEE Trans. Knowl. Data Eng., 2014

Customer profile classification: To adapt classifiers or to relabel customer profiles?
Neurocomputing, 2014

Online Detection of Shutdown Periods in Chemical Plants: A Case Study.
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
An overview of interactive visual data mining techniques for knowledge discovery.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2013

Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation.
IEEE Trans. Neural Netw. Learning Syst., 2013

Erratum to: Architecture for development of adaptive on-line prediction models.
Memetic Computing, 2013

Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data.
Evolving Systems, 2013

A fuzzy evolutionary framework for combining ensembles.
Appl. Soft Comput., 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

KNNs and Sequence Alignment for Churn Prediction.
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

Robust Adaptive Predictive Modeling and Data Deluge (Extended Abstract).
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
Next challenges for adaptive learning systems.
SIGKDD Explorations, 2012

GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems.
Expert Syst. Appl., 2012

Generalised bottom-up pruning: A model level combination of decision trees.
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

A Hybrid Model for Business Process Event Prediction.
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
A Generic Multilevel Architecture for Time Series Prediction.
IEEE Trans. Knowl. Data Eng., 2011

Electrostatic field framework for supervised and semi-supervised learning from incomplete data.
Natural Computing, 2011

On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling.
Entropy, 2011

Review of adaptation mechanisms for data-driven soft sensors.
Computers & Chemical Engineering, 2011

Customer profile classification using transactional data.
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

Change Mining of Customer Profiles Based on Transactional Data.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Model level combination of tree ensemble hyperboxes via GFMM.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Ridge regression ensemble for toxicity prediction.
Proceedings of the International Conference on Computational Science, 2010

Meta-learning for time series forecasting and forecast combination.
Neurocomputing, 2010

Adaptive on-line prediction soft sensing without historical data.
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

Meta-learning for time series forecasting in the NN GC1 competition.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Pooling for Combination of Multilevel Forecasts.
IEEE Trans. Knowl. Data Eng., 2009

A framework for machine learning based on dynamic physical fields.
Natural Computing, 2009

Nature-inspired learning and adaptive systems.
Natural Computing, 2009

Architecture for development of adaptive on-line prediction models.
Memetic Computing, 2009

Data-driven Soft Sensors in the process industry.
Computers & Chemical Engineering, 2009

Temporal Changes in Local Topology of an Email-Based Social Network.
Computing and Informatics, 2009

A Non-sequential Representation of Sequential Data for Churn Prediction.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Soft sensors: Where are we and what are the current and future challenges?
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

Learning with Missing or Incomplete Data.
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
Gating Artificial Neural Network Based Soft Sensor.
Proceedings of the New Challenges in Applied Intelligence Technologies, 2008

Learnt Topology Gating Artificial Neural Networks.
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

Soft Sensor Based on Adaptive Local Learning.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Temporal Changes in Connection Patterns of an Email-Based Social Network.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Do we need experts for time series forecasting?.
Proceedings of the ESANN 2008, 2008

Adaptive Local Learning Soft Sensor for Inferential Control Support.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007
Combination of Multi Level Forecasts.
VLSI Signal Processing, 2007

The Dynamics of Negative Correlation Learning.
VLSI Signal Processing, 2007

Special issue: Extended papers selected from KES-2006.
KES Journal, 2007

Adaptive Mechanisms for Classification Problems with Drifting Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Particle Swarm Optimisation of Multiple Classifier Systems.
Proceedings of the Computational and Ambient Intelligence, 2007

Neural Network Ensembles for Time Series Prediction.
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

Overview of Some Incremental Learning Algorithms.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Genetic algorithms in classifier fusion.
Appl. Soft Comput., 2006

Outlier Resistant PCA Ensembles.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Clustering for Data Matching.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Maximum Likelihood Topology Preserving Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
Classifier selection for majority voting.
Information Fusion, 2005

2004
Combining labelled and unlabelled data in the design of pattern classification systems.
Int. J. Approx. Reasoning, 2004

Special issue on integration of methods and hybrid systems.
Int. J. Approx. Reasoning, 2004

Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine?
Fuzzy Sets and Systems, 2004

Hierarchical Multilevel Approaches of Forecast Combination.
Proceedings of the Operations Research, 2004

2003
Physical field models for pattern classification.
Soft Comput., 2003

2002
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network.
VLSI Signal Processing, 2002

A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.
Pattern Anal. Appl., 2002

Guest editorial introduction.
Knowl.-Based Syst., 2002

Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems.
Int. J. Approx. Reasoning, 2002

Static Field Approach for Pattern Classification.
Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

New Measure of Classifier Dependency in Multiple Classifier Systems.
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
General fuzzy min-max neural network for clustering and classification.
IEEE Trans. Neural Netw. Learning Syst., 2000

Pattern classification for incomplete data.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000


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