Piotr Artiemjew

Orcid: 0000-0001-5508-9856

According to our database1, Piotr Artiemjew authored at least 67 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine.
CoRR, 2024

Three-Dimensional Path Planning: Navigating through Rough Mereology.
CoRR, 2024

Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Prototyping Educational and Scientific Devices with a Custom Python Library for Lego Robot Inventor 5in1 Mindstorms Kit: A Leap Motion Integration Case Study.
Proceedings of the 16th International Conference on Computer Supported Education, 2024

2023
The Identification of Bee Comb Cell Contents Using Semiconductor Gas Sensors.
Sensors, December, 2023

Selected aspects of complex, hypercomplex and fuzzy neural networks.
CoRR, 2023

Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal.
Proceedings of the Rough Sets - International Joint Conference, 2023

Data Streaming in Concept-Dependent Granulation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks.
Sensors, 2022

Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Using ConvNet for Classification Task in Parallel Coordinates Visualization of Topologically Arranged Attribute Values.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Application of Random Sampling in the Concept-Dependent Granulation Method.
Proceedings of the Position Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

Accelerating concept-dependent granulation technique using data decomposition.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Classifying the Biological Status of Honeybee Workers Using Gas Sensors.
Sensors, 2021

Requirements for Supporting Diagnostic Equipment of Respiration Process in Humans.
Sensors, 2021

Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors.
Sensors, 2021

Deep Learning for RFI Artifact Recognition in Sentinel-1 Data.
Remote. Sens., 2021

A Novel Ensemble Model - The Random Granular Reflections.
Fundam. Informaticae, 2021

The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters.
Ecol. Informatics, 2021

2020
RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques.
Sensors, 2020

Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas Sensors.
Sensors, 2020

About Rule-Based Systems: Single Database Queries for Decision Making.
Future Internet, 2020

On Granular Rough Computing: Handling Missing Values by Means of Homogeneous Granulation.
Comput., 2020

Indiscernibility Mask Key for Image Steganography.
Comput., 2020

On a Hybridization of Deep Learning and Rough Set Based Granular Computing.
Algorithms, 2020

About Granular Rough Computing - Overview of Decision System Approximation Techniques and Future Perspectives.
Algorithms, 2020

Random Forests and Homogeneous Granulation.
Proceedings of the Information and Software Technologies - 26th International Conference, 2020

2019
Homogenous Granulation and Its Epsilon Variant.
Comput., 2019

Robot Localization in the Magnetic Unstable Environment.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Missing Values Absorption Based on Homogenous Granulation.
Proceedings of the Information and Software Technologies - 25th International Conference, 2019

Using r-indiscernibility Relations to Hide the Presence of Information for the Least Significant Bit Steganography Technique.
Proceedings of the Information and Software Technologies - 25th International Conference, 2019

Building an Ensemble of Naive Bayes Classifiers using Committee of Bootstraps and Monte Carlo splits for a various percentage of random objects from training set.
Proceedings of the 28th International Workshop on Concurrency, 2019

2018
Boosting Effect of Classifier Based on Simple Granules of Knowledge.
Inf. Technol. Control., 2018

On Granular Rough Computing: Epsilon Homogenous Granulation.
Proceedings of the Rough Sets - International Joint Conference, 2018

Robot Navigation and Path Planning by Means of Rough Mereology.
Proceedings of the Second IEEE International Conference on Robotic Computing, 2018

A Study in Granular Computing: Homogenous Granulation.
Proceedings of the Information and Software Technologies - 24th International Conference, 2018

2017
Path Planning Based on Potential Fields from Rough Mereology.
Proceedings of the Rough Sets - International Joint Conference, 2017

Ensemble of Classifiers Based on Simple Granules of Knowledge.
Proceedings of the Information and Software Technologies - 23rd International Conference, 2017

2016
A New Classifier Based on the Dual Indiscernibility Matrix.
Proceedings of the Information and Software Technologies - 22nd International Conference, 2016

2015
Granular Computing in Decision Approximation - An Application of Rough Mereology
Intelligent Systems Reference Library 77, Springer, ISBN: 978-3-319-12880-1, 2015

The Rough Granular Approach to Classifier Synthesis by Means of SVM.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

The Localization of Mindstorms NXT in the Magnetic Unstable Environment Based on Histogram Filtering.
Proceedings of the ICAART 2015, 2015

2014
Rough mereology classifier vs. simple DNA microarray gene extraction methods.
Int. J. Data Min. Model. Manag., 2014

Visual Dictionary Pruning Using Mutual Information and Information Gain.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
A Review of the Knowledge Granulation Methods: Discrete vs. Continuous Algorithms.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Visual words selection based on class separation measures.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

Visual words sequence alignment for image classification.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012
Granular Covering Selection Methods Dependent on the Granule Size.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Categorization of Similar Objects using Bag of Visual Words and Support Vector Machines.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

2011
Granular computing in the frame of rough mereology. A case study: Classification of data into decision categories by means of granular reflections of data.
Int. J. Intell. Syst., 2011

The Extraction Method of DNA Microarray Features Based on Experimental A Statistics.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

The Extraction Method of DNA Microarray Features Based on Modified <i>F</i> Statistics vs. Classifier Based on Rough Mereology.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

2010
DNA microarray classification by means of weighted voting based on rough set classifier.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Classifiers based on rough mereology in analysis of DNA microarray data.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

2009
On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology.
Int. J. Comput. Intell. Syst., 2009

2008
Rough Sets In Data Analysis: Foundations and Applications.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

On Classifying Mappings Induced by Granular Structures.
Trans. Rough Sets, 2008

A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data.
Trans. Rough Sets, 2008

Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

On Classification of Data by Means of Rough Mereological Granules of Objects and Rules.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Natural versus Granular Computing: Classifiers from Granular Structures.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

2007
On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

On Granular Rough Computing with Missing Values.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Granular Computing: Granular Classifiers and Missing Values.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007


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