Michal Wozniak

Orcid: 0000-0003-0146-4205

Affiliations:
  • Wroclaw University of Science and Technology, Poland


According to our database1, Michal Wozniak authored at least 292 papers between 1995 and 2024.

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Bibliography

2024
Local neighborhood encodings for imbalanced data classification.
Mach. Learn., October, 2024

DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multiscale Convolutional Dense Connectivity With Performance Measure.
IEEE Trans. Instrum. Meas., 2024

A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism.
Knowl. Based Syst., 2024

Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II.
Frontiers Neurorobotics, 2024

Modeling configuration-performance relation in a mobile network: a data-driven approach.
CoRR, 2024

F<sub>β</sub>-plot - a visual tool for evaluating imbalanced data classifiers.
CoRR, 2024

Continual Learning with Weight Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task.
Proceedings of the Computer Information Systems and Industrial Management, 2024

2023
Active Weighted Aging Ensemble for drifted data stream classification.
Inf. Sci., June, 2023

SVM ensemble training for imbalanced data classification using multi-objective optimization techniques.
Appl. Intell., June, 2023

<i>Alphabet Flatting</i> as a variant of n-gram feature extraction method in ensemble classification of fake news.
Eng. Appl. Artif. Intell., April, 2023

5G/5G+ network management employing AI-based continuous deployment.
Appl. Soft Comput., February, 2023

Increasing depth of neural networks for life-long learning.
Inf. Fusion, 2023

MOOforest - Multi-objective Optimization to Form Decision Tree Ensemble.
Proceedings of the Advanced, Contemporary Control, 2023

Defending Network IDS against Adversarial Examples with Continual Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Combining Self-labeling with Selective Sampling.
Proceedings of the IEEE International Conference on Data Mining, 2023

DE-Forest - Optimized Decision Tree Ensemble.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Transfer of Knowledge Among Instruments in Automatic Music Transcription.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

Optimized hybrid imbalanced data sampling for decision tree training.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy.
Proceedings of the Progress on Pattern Classification, Image Processing and Communications, 2023

2022
An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation.
Pattern Recognit., 2022

Cybersecurity applications of computational intelligence.
Neural Comput. Appl., 2022

Employing chunk size adaptation to overcome concept drift.
J. Univers. Comput. Sci., 2022

Technical solution to counter potential crime: Text analysis to detect fake news and disinformation.
J. Comput. Sci., 2022

How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection.
IT Prof., 2022

Selective ensemble of classifiers trained on selective samples.
Neurocomputing, 2022

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification.
CoRR, 2022

Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification.
Appl. Soft Comput., 2022

The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime.
AI Ethics, 2022

Multicriteria Classifier Ensemble Learning for Imbalanced Data.
IEEE Access, 2022

Tracking changes using Kullback-Leibler divergence for the continual learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

4th Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

Data complexity and classification accuracy correlation in oversampling algorithms.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Automated identification of systematic performance changes in 5G networks by changepoint tracking.
Proceedings of the International Joint Conference on Neural Networks, 2022

Search-based framework for transparent non-overlapping ensemble models.
Proceedings of the International Joint Conference on Neural Networks, 2022

Employing Convolutional Neural Networks for Continual Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

Feature Integration Strategies for Multilingual Fake News Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

Employing Generative Adversarial Network in COVID-19 Diagnosis.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification.
Mach. Learn., 2021

Hellinger Distance Weighted Ensemble for imbalanced data stream classification.
J. Comput. Sci., 2021

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams.
Inf. Fusion, 2021

Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia.
Log. J. IGPL, 2021

How to design the fair experimental classifier evaluation.
Appl. Soft Comput., 2021

Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation.
Appl. Soft Comput., 2021

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study.
Appl. Soft Comput., 2021

3rd Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift.
Proceedings of the 2021 International Conference on Data Mining, 2021

Extracting Interpretable Decision Tree Ensemble from Random Forest.
Proceedings of the International Joint Conference on Neural Networks, 2021

Transformer Based Models in Fake News Detection.
Proceedings of the Computational Science - ICCS 2021, 2021

Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task.
Proceedings of the Computational Science - ICCS 2021, 2021

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Radial-Based Oversampling for Multiclass Imbalanced Data Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Computational Intelligence in Remote Sensing: An Editorial.
Sensors, 2020

Novel clustering-based pruning algorithms.
Pattern Anal. Appl., 2020

Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS).
Neural Comput. Appl., 2020

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise.
Knowl. Based Syst., 2020

Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2020

Training set selection and swarm intelligence for enhanced integration in multiple classifier systems.
Appl. Soft Comput., 2020

Advanced Oversampling for Improved Detection of Software Anomalies in a Robot.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Fake News Detection from Data Streams.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Employing dropout regularization to classify recurring drifted data streams.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance.
Proceedings of the Computational Science - ICCS 2020, 2020

Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification.
Proceedings of the Computational Science - ICCS 2020, 2020

Sentiment Analysis for Fake News Detection by Means of Neural Networks.
Proceedings of the Computational Science - ICCS 2020, 2020

Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification.
Proceedings of the Computational Science - ICCS 2020, 2020

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Employing Decision Templates to Imbalanced Data Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Instance reduction for one-class classification.
Knowl. Inf. Syst., 2019

Adapting ClusTree for more challenging data stream environments.
J. Intell. Fuzzy Syst., 2019

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2019

Data stream classification using active learned neural networks.
Neurocomputing, 2019

Radial-Based oversampling for noisy imbalanced data classification.
Neurocomputing, 2019

Monotonic classification: An overview on algorithms, performance measures and data sets.
Neurocomputing, 2019

Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial.
Neurocomputing, 2019

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Imbalanced Data Stream Classification Using Hybrid Data Preprocessing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Imbalanced Data Classification Using Weighted Voting Ensemble.
Proceedings of the Image Processing and Communications, 2019

Machine Learning Methods for Fake News Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling.
Proceedings of the Computational Science - ICCS 2019, 2019

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning.
Proceedings of the Progress in Computer Recognition Systems, 2019

Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification.
Proceedings of the Progress in Computer Recognition Systems, 2019

2018
Dynamic ensemble selection for multi-class classification with one-class classifiers.
Pattern Recognit., 2018

Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity.
J. Univers. Comput. Sci., 2018

Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data.
Neurocomputing, 2018

Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets.
Complex., 2018

Experimental Study on Modified Radial-Based Oversampling.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Leveraging Ensemble Pruning for Imbalanced Data Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Active Learning by Clustering for Drifted Data Stream Classification.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Selecting local ensembles for multi-class imbalanced data classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Imbalanced Data Classification Based on Feature Selection Techniques.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Drifted Data Stream Clustering Based on ClusTree Algorithm.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

An Empirical Insight Into Concept Drift Detectors Ensemble Strategies.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Combining active learning with concept drift detection for data stream mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.
IEEE Trans. Syst. Man Cybern. Syst., 2017

The deterministic subspace method for constructing classifier ensembles.
Pattern Anal. Appl., 2017

Tensor-Based Shot Boundary Detection in Video Streams.
New Gener. Comput., 2017

Paired feature multilayer ensemble - concept and evaluation of a classifier.
J. Intell. Fuzzy Syst., 2017

Ensemble learning for data stream analysis: A survey.
Inf. Fusion, 2017

A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing, 2017

SCR: simulated concept recurrence - a non-supervised tool for dealing with shifting concept.
Expert Syst. J. Knowl. Eng., 2017

Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble.
Eng. Appl. Artif. Intell., 2017

CCR: A combined cleaning and resampling algorithm for imbalanced data classification.
Int. J. Appl. Math. Comput. Sci., 2017

On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Online query by committee for active learning from drifting data streams.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Tensor Framework for Data Stream Clustering and Compression.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Radial-Based Approach to Imbalanced Data Oversampling.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Distributed DBSCAN Algorithm - Concept and Experimental Evaluation.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Concept Drift Analysis for Improving Anomaly Detection Systems in Cybersecurity.
Proceedings of the Advances in Cybersecurity, 2017

2016
Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets.
Pattern Recognit., 2016

Dynamic classifier selection for one-class classification.
Knowl. Based Syst., 2016

Untrained weighted classifier combination with embedded ensemble pruning.
Neurocomputing, 2016

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2016

A new heuristic for influence maximization in social networks.
Log. J. IGPL, 2016

On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods.
Appl. Artif. Intell., 2016

Intelligent Methods Applied to Health-Care Information Systems.
Appl. Artif. Intell., 2016

A Survey of Big Data Issues in Electronic Health Record Analysis.
Appl. Artif. Intell., 2016

A First Attempt to Construct Effective Concept Drift Detector Ensembles.
Proceedings of the Image Processing and Communications Challenges 8, 2016

Active Learning Classification of Drifted Streaming Data.
Proceedings of the International Conference on Computational Science 2016, 2016

Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations.
Proceedings of the International Conference on Computational Science 2016, 2016

Efficient Computation of the Tensor Chordal Kernels.
Proceedings of the International Conference on Computational Science 2016, 2016

Active Learning Classifier for Streaming Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Forming Classifier Ensembles with Deterministic Feature Subspaces.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

A First Attempt on Online Data Stream Classifier Using Context.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition.
Proceedings of the Software Engineering Perspectives and Application in Intelligent Systems, 2016

Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study.
Proceedings of the Computer Information Systems and Industrial Management, 2016

2015
One-class classifiers with incremental learning and forgetting for data streams with concept drift.
Soft Comput., 2015

On the usefulness of one-class classifier ensembles for decomposition of multi-class problems.
Pattern Recognit., 2015

Optical networks for cost-efficient and scalable provisioning of big data traffic.
Int. J. Parallel Emergent Distributed Syst., 2015

An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition.
New Gener. Comput., 2015

Incremental weighted one-class classifier for mining stationary data streams.
J. Comput. Sci., 2015

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2015

Data stream classification and big data analytics.
Neurocomputing, 2015

Editorial: Special issue HAIS12-IGPL.
Log. J. IGPL, 2015

A novel hyperspectral segmentation algorithm - concept and evaluation.
Log. J. IGPL, 2015

Multidimensional data classification with chordal distance based kernel and Support Vector Machines.
Eng. Appl. Artif. Intell., 2015

A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification.
Artif. Intell. Medicine, 2015

Incremental One-Class Bagging for Streaming and Evolving Big Data.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Impact of fanout and transmission reach on performance of multicasting in Elastic Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015

Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Algorithms for calculation of candidate trees for efficient multicasting in elastic optical networks.
Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

Blurred Labeling Segmentation Algorithm for Hyperspectral Images.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Wagging for Combining Weighted One-class Support Vector Machines.
Proceedings of the International Conference on Computational Science, 2015

Joint optimization of multicast and unicast flows in elastic optical networks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Combining nearest neighbour classifiers based on small subsamples for big data analytics.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Reacting to different types of concept drift with adaptive and incremental one-class classifiers.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Tensor based representation and analysis of the electronic healthcare record data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Selected aspects of electronic health record analysis from the big data perspective.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Pruning Ensembles with Cost Constraints.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

Pruning Ensembles of One-Class Classifiers with X-means Clustering.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014
Hybrid Classifiers - Methods of Data, Knowledge, and Classifier Combination
Studies in Computational Intelligence 519, Springer, ISBN: 978-3-642-40996-7, 2014

Clustering-based ensembles for one-class classification.
Inf. Sci., 2014

A survey of multiple classifier systems as hybrid systems.
Inf. Fusion, 2014

Guest Editorial: Hybrid intelligent fusion systems.
Inf. Fusion, 2014

Diversity measures for one-class classifier ensembles.
Neurocomputing, 2014

Recent trends in intelligent data analysis.
Neurocomputing, 2014

Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning.
Int. J. Neural Syst., 2014

Optimization of Multicast Traffic in Elastic Optical Networks With Distance-Adaptive Transmission.
IEEE Commun. Lett., 2014

Cost-sensitive decision tree ensembles for effective imbalanced classification.
Appl. Soft Comput., 2014

Influence of Distance Measures on the Effectiveness of One-Class Classification Ensembles.
Appl. Artif. Intell., 2014

Evolutionary Cost-Sensitive Ensemble for Malware Detection.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Hyperspectral Image Analysis Based on Quad Tree Decomposition.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

One-Class Classification Ensemble with Dynamic Classifier Selection.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Untrained Method for Ensemble Pruning and Weighted Combination.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

New untrained aggregation methods for classifier combination.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Identifying Features with Concept Drift in Multidimensional Data Using Statistical Tests.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Handling Label Noise in Microarray Classification with One-Class Classifier Ensemble.
Proceedings of the ICT Innovations 2014, 2014

Hypertension Type Classification Using Hierarchical Ensemble of One-Class Classifiers for Imbalanced Data.
Proceedings of the ICT Innovations 2014, 2014

Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Experiments on simultaneous combination rule training and ensemble pruning algorithm.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

Weighted one-class classification for different types of minority class examples in imbalanced data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Adaptive Splitting and Selection ensemble for breast cancer malignancy grading.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

Optimization Algorithms for One-Class Classification Ensemble Pruning.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

Vehicle Logo Recognition with an Ensemble of Classifiers.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013
E-medical diagnosis support system for non-invasive liver fibrosis recognition.
Stud. Inform. Univ., 2013

Special issue on "Innovative knowledge based techniques in pattern recognition".
Pattern Recognit. Lett., 2013

Classifier ensemble for an effective cytological image analysis.
Pattern Recognit. Lett., 2013

Concept Drift Detection and Model Selection with Simulated Recurrence and Ensembles of Statistical Detectors.
J. Univers. Comput. Sci., 2013

Special section on invited papers from NetCoM-2009.
Future Gener. Comput. Syst., 2013

Guest Editorial: Intelligent Network Security and Survivability.
Cybern. Syst., 2013

Application of Adaptive Splitting and Selection Classifier to the Spam Filtering Problem.
Cybern. Syst., 2013

A cost-sensitive ensemble classifier for breast cancer classification.
Proceedings of the IEEE 8th International Symposium on Applied Computational Intelligence and Informatics, 2013

Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Distributed Privacy-Preserving Minimal Distance Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Weighted Aging Classifier Ensemble for the Incremental Drifted Data Streams.
Proceedings of the Flexible Query Answering Systems - 10th International Conference, 2013

A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

Parallel Hoeffding Decision Tree for Streaming Data.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

Comparable Study of Statistical Tests for Virtual Concept Drift Detection.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Incremental Learning and Forgetting in One-Class Classifiers for Data Streams.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Data Preprocessing with GPU for DBSCAN Algorithm.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Application of Combined Classifiers to Data Stream Classification.
Proceedings of the Computer Information Systems and Industrial Management, 2013

Combining one-class classifiers for imbalanced classification of breast thermogram features.
Proceedings of the 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging, 2013

On diversity measures for fuzzy one-class classifier ensembles.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Accuracy and diversity in classifier selection for one-class classification ensembles.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

LDCnet: Minimizing the cost of supervision for various types of concept drift.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Special Issue on Hybrid Artificial Intelligent Systems.
J. Math. Imaging Vis., 2012

Soft computing methods applied to combination of one-class classifiers.
Neurocomputing, 2012

Editorial: New trends and applications on hybrid artificial intelligence systems.
Neurocomputing, 2012

Active learning approach to concept drift problem.
Log. J. IGPL, 2012

Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach.
Log. J. IGPL, 2012

Special issue: <i>HAIS</i> 2010.
Log. J. IGPL, 2012

Combining classifiers under probabilistic models: experimental comparative analysis of methods.
Expert Syst. J. Knowl. Eng., 2012

Combined classifier based on feature space partitioning.
Int. J. Appl. Math. Comput. Sci., 2012

Combined Classifiers with Neural Fuser for Spam Detection.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

Combined Bayesian Classifiers Applied to Spam Filtering Problem.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

Analysis of Diversity Assurance Methods for Combined Classifiers.
Proceedings of the Image Processing and Communications Challenges 4, 2012

Cost-Sensitive Splitting and Selection Method for Medical Decision Support System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Performance Evaluation of Hybrid Implementation of Support Vector Machine.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Comparison of Fuzzy Combiner Training Methods.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

Combining Diverse One-Class Classifiers.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Experiments on distance measures for combining one-class classifiers.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

Breast thermogram analysis using a cost-sensitive multiple classifier system.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

Enhancing Concept Drift Detection with Simulated Recurrence.
Proceedings of the New Trends in Databases and Information Systems, 2012

Data with Shifting Concept Classification Using Simulated Recurrence.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011
Privacy Preserving Models of <i>k</i>-NN Algorithm.
Proceedings of the Computer Recognition Systems 4, 2011

A hybrid decision tree training method using data streams.
Knowl. Inf. Syst., 2011

Optimizing distributed computing systems for <i>k-nearest neighbours</i> classifiers - evolutionary approach.
Log. J. IGPL, 2011

Editorial: Neuro-symbolic Algorithms and Models for Bio-inspired Systems.
Log. J. IGPL, 2011

Designing Cost-Sensitive Ensemble - Genetic Approach.
Proceedings of the Image Processing and Communications Challenges 3, 2011

Decentralized Distributed Computing System for Privacy-Preserving Combined Classifiers - Modeling and Optimization.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

Artificial Recurrence for Classification of Streaming Data with Concept Shift.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Learning Curve in Concept Drift While Using Active Learning Paradigm.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Combining Classifier with a Fuser Implemented as a One Layer Perceptron.
Proceedings of the Intelligent Information and Database Systems, 2011

Knowledge Source Confidence Measure Applied to a Rule-Based Recognition System.
Proceedings of the Intelligent Information and Database Systems, 2011

Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes.
Proceedings of the Intelligent Information and Database Systems, 2011

2010
Computer recognition systems.
Expert Syst. J. Knowl. Eng., 2010

Cost-sensitive methods of constructing hierarchical classifiers.
Expert Syst. J. Knowl. Eng., 2010

Method of classifier selection using the genetic approach.
Expert Syst. J. Knowl. Eng., 2010

GRASP Algorithm for Optimization of Grids for Multiple Classifier System.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2010

Designing combining classifier with trained fuser - Analytical and experimental evaluation.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Simple combining classifiers for a special case of incremental concept drift problem.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Fusion Methods for the Two Class Recognition Problem - Analytical and Experimental Results.
Proceedings of the Image Processing and Communications Challenges 2, 2010

Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Chosen problems of designing effective Multiple Classifier Systems.
Proceedings of the 2010 International Conference on Computer Information Systems and Industrial Management Applications, 2010

2009
Multivariate Decision Trees vs. Univariate Ones.
Proceedings of the Computer Recognition Systems 3, 2009

Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas.
Pattern Anal. Appl., 2009

Evolutionary Approach to Produce Classifier Ensemble based on Weighted Voting.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Modeling of Network Computing Systems for Decision Tree Induction Tasks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Decision Tree Induction Methods for Distributed Environment.
Proceedings of the Man-Machine Interactions, 2009

Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis.
Proceedings of the Man-Machine Interactions, 2009

Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Adaptive Splitting and Selection Method of Classifier Ensemble Building.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
Experiments with Trained and Untrained Fusers.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Experiments on Linear Combiners.
Proceedings of the Information Technologies in Biomedicine, 2008

Experiments on Classifiers Obtained Via Decision Tree Induction Methods with Different Attribute Acquisition Cost Limit.
Proceedings of the Computer Recognition Systems 2, 2008

Classifier Fusion Based on Weighted Voting - Analytical and Experimental Results.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Experiments with Boosted Decision Tree Classifiers.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Fusers Based on Classifier Response and Discriminant Function - Comparative Study.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2006
Proposition of common classifier construction for pattern recognition with context task.
Knowl. Based Syst., 2006

Two-Stage Classifier for Diagnosis of Hypertension Type.
Proceedings of the Biological and Medical Data Analysis, 7th International Symposium, 2006

Adaptive Weights Calculation Procedure for Weighted Voting - Idea and Experimental Results.
Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006

2005
Markov Chains Pattern Recognition Approach Applied to the Medical Diagnosis Tasks.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

Boosted Decision Trees for Diagnosis Type of Hypertension.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

Three Classifiers for Acute Abdominal Pain Diagnosis - Comparative Study.
Proceedings of the Computational Science, 2005

Machine Learning Methods for Dialysis Therapy Decision Problem - Comparative Study.
Proceedings of the Computer Recognition Systems, 2005

Some Propositions of Information Fusion for Pattern Recognition with Context Task.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems.
Proceedings of the Computational Science and Its Applications, 2004

Proposition of Boosting Algorithm for Probabilistic Decision Support System.
Proceedings of the Computational Science, 2004

2003
Concept of the Knowledge Quality Management for Rule-Based Decision System.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

Proposition of the Quality Measure for the Probabilistic Decision Support System.
Proceedings of the Developments in Applied Artificial Intelligence, 2003

Case- and Rule-Based Algorithms for the Contextual Pattern Recognition Problem.
Proceedings of the Computational Science and Its Applications, 2003

Application of the Confidence Measure in Knowledge Acquisition Process.
Proceedings of the Computational Science - ICCS 2003, 2003

1995
Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains.
Proceedings of the Artificial Intelligence Medicine, 1995


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