Marcin Michalak

Orcid: 0000-0001-9979-8208

Affiliations:
  • Silesian University of Technology, Gliwice, Poland


According to our database1, Marcin Michalak authored at least 53 papers between 2006 and 2024.

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Bibliography

2024
IMCP: A Python package for imbalanced and multiclass data classifier performance comparison.
SoftwareX, 2024

2023
Shifting Pattern Biclustering and Boolean Reasoning Symmetry.
Symmetry, November, 2023

Special Issue: Machine Learning and Data Analysis.
Symmetry, July, 2023

Anomaly Detection Module for Network Traffic Monitoring in Public Institutions.
Sensors, March, 2023

A New Data Model for Behavioral Based Anomaly Detection in IoT Device Monitoring.
Proceedings of the Rough Sets - International Joint Conference, 2023

Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022
Sensor-Based Predictive Maintenance with Reduction of False Alarms - A Case Study in Heavy Industry.
Sensors, 2022

Theoretical backgrounds of Boolean reasoning-based binary n-clustering.
Knowl. Inf. Syst., 2022

Hierarchical heuristics for Boolean-reasoning-based binary bicluster induction.
Acta Informatica, 2022

Multiclass Classification Performance Curve.
IEEE Access, 2022

Dataset Generation Framework for Evaluation of IoT Linux Host-Based Intrusion Detection Systems.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction.
CoRR, 2021

Detecting anomalies and attacks in network traffic monitoring with classification methods and XAI-based explainability.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Outlier Detection in Network Traffic Monitoring.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020
Heuristic Search of Exact Biclusters in Binary Data.
Int. J. Appl. Math. Comput. Sci., 2020

2019
On Boolean Representation of Continuous Data Biclustering.
Fundam. Informaticae, 2019

Cloud Decision Support System for Risk Management in Railway Transportation.
Proceedings of the 14th International Conference on Software Technologies, 2019

Induction of Centre-Based Biclusters in Terms of Boolean Reasoning.
Proceedings of the Man-Machine Interactions 6, 2019

Anomaly Detection in Network Traffic Security Assurance.
Proceedings of the Engineering in Dependability of Computer Systems and Networks, 2019

2018
Boolean Representation for Exact Biclustering.
Fundam. Informaticae, 2018

The Use of Distributed Data Storage and Processing Systems in Bioinformatic Data Analysis.
Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

2017
Predicting seismic events in coal mines based on underground sensor measurements.
Eng. Appl. Artif. Intell., 2017

A Data Warehouse as an Indispensable Tool to Determine the Effectiveness of the Use of the Longwall Shearer.
Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

The Use of the TGŚP Module as a Database to Identify Breaks in the Work of Mining Machinery.
Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016
Rule Quality Measures Settings in Classification, Regression and Survival Rule Induction - an Empirical Approach.
Fundam. Informaticae, 2016

Outlier Detection and Elimination in Stream Data - An Experimental Approach.
Proceedings of the Rough Sets - International Joint Conference, 2016

Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Application of RapidMiner and R Environments to Dangerous Seismic Events Prediction.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Influence of Outliers Introduction on Predictive Models Quality.
Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

2015
Diagnostic Model for Longwall Conveyor Engines.
Proceedings of the Man-Machine Interactions 4, 2015

Rule quality measures settings in a sequential covering rule induction algorithm - an empirical approach.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014
Advanced Oblique Rule Generating Based on PCA.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

HiBi - The Algorithm of Biclustering the Discrete Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Is it Possible to Have a Feasible Enclosure-Computing Method Which Is Independent of the Equivalent Form?
Reliab. Comput., 2013

Influence of Low-Level Features Extracted from Rhythmic and Harmonic Sections on Music Genre Classification.
Proceedings of the Man-Machine Interactions 3, 2013

PCA Based Oblique Decision Rules Generating.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

HRoBi - The Algorithm for Hierarchical Rough Biclustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Analysis of Deformation of Mining Chains Based on Motion Tracking.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

eBi - The Algorithm for Exact Biclustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

ORG - Oblique Rules Generator.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Foundations of Rough Biclustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011
Kernel Postprocessing of Multispectral Images.
Proceedings of the Computer Recognition Systems 4, 2011

Time Series Prediction with Periodic Kernels.
Proceedings of the Computer Recognition Systems 4, 2011

Adaptive kernel approach to the time series prediction.
Pattern Anal. Appl., 2011

Rough Numbers and Rough Regression.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Approximation of a Coal Mass by an Ultrasonic Sensor Using Regression Rules.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Generating and Postprocessing of Biclusters from Discrete Value Matrices.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

Mining for Mining - Application of Data Mining Tools for Coal Postprocessing Modelling.
Proceedings of the New Challenges for Intelligent Information and Database Systems [original works presented during a poster session organized within the 3rd Asian Conference on Intelligent Information and Database Systems, 2011

2010
Detection of Tumor Tissue Based on the Multispectral Imaging.
Proceedings of the Computer Vision and Graphics - International Conference, 2010

Spectrum Evaluation on Multispectral Images by Machine Learning Techniques.
Proceedings of the Computer Vision and Graphics - International Conference, 2010

2009
Time Series Prediction Using New Adaptive Kernel Estimators.
Proceedings of the Computer Recognition Systems 3, 2009

2008
Decision Rule Based Data Models Using NetTRS System Overview.
Trans. Rough Sets, 2008

2006
NetTRS - Induction and Postprocessing of Decision Rules.
Proceedings of the Rough Sets and Current Trends in Computing, 2006


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