Piotr Artiemjew

78 papers B 3C 3Journal 27Unranked 39
YearRankTypeTitle / Venue / Authors
2026 — conf
Dynamic Weighting with Sinusoidal Modulation for Rough Inclusion Classifiers.
ICAART (3)
Piotr Artiemjew, Artur Samojluk
2025 J jnl
A critical analysis of the theoretical framework of the Extreme Learning Machine.
Neurocomputing
Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
2025 C conf
Behavior Detection of Quadruped Companion Robots Using CNN: Towards Closer Human-Robot Cooperation.
ICSOFT
Piotr Artiemjew, Karolina Krzykowska-Piotrowska, Marek Piotrowski
2025 J jnl
From rough mereology to robust navigation: Expanding mobile robot strategies with diverse maps and enhanced goal-targeting mechanisms.
Int. J. Appl. Math. Comput. Sci.
Aleksandra Szpakowska, Piotr Artiemjew, Wojciech Cybowski
2025 — conf
Fuzzy Transform and Extreme Learning Machine for Solving Volterra Integral Equation.
FUZZ
Irina Perfilieva, Piotr Artiemjew
2024 J jnl
A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine.
CoRR
Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
2024 B conf
On the evaluation of classification quality - the robustness of the AUC of Balance Accuracy Curve (BAC) to anomalies in the classification process.
KES
Aleksandra Weiss, Marcin Mlynski, Piotr Artiemjew
2024 — conf
Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models.
ICAART (3)
Piotr Artiemjew, Radoslaw Cybulski, Mohammad Hassan Emamian, Andrzej Grzybowski, Andrzej Jankowski, Carla Lanca, Shiva Mehravaran, Marcin Mlynski, Cezary Morawski, Klaus Nordhausen, Olavi Pärssinen, Krzysztof Ropiak
2024 — conf
Prototyping Educational and Scientific Devices with a Custom Python Library for Lego Robot Inventor 5in1 Mindstorms Kit: A Leap Motion Integration Case Study.
CSEDU (1)
Jakub Malinowski, Piotr Artiemjew, Wojciech Cybowski
2024 — conf
Randomness Versus Backpropagation in Machine Learning.
ICAISC (1)
Irina Perfilieva, Piotr Artiemjew, Agnieszka Niemczynowicz
2024 J jnl
Three-Dimensional Path Planning: Navigating through Rough Mereology.
CoRR
Aleksandra Szpakowska, Piotr Artiemjew
2023 B conf
Data Streaming in Concept-Dependent Granulation.
IEEE Big Data
Radoslaw Cybulski, Piotr Artiemjew
2023 — conf
Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal.
IJCRS
Aleksandra Szpakowska, Piotr Artiemjew, Wojciech Cybowski
2023 J jnl
Selected aspects of complex, hypercomplex and fuzzy neural networks.
CoRR
Agnieszka Niemczynowicz, Radoslaw A. Kycia, Maciej Jaworski, Artur Siemaszko, Jose M. Calabuig, Lluís Miquel Garcia-Raffi, Baruch Schneider, Diana Berseghyan, Irina Perfiljeva, Vilém Novák, Piotr Artiemjew
2023 J jnl
The Identification of Bee Comb Cell Contents Using Semiconductor Gas Sensors.
Sensors
Beata Bak, Jakub Wilk, Piotr Artiemjew, Maciej Siuda, Jerzy Wilde
2022 C conf
About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve.
FedCSIS
Aleksandra Weiss, Marcin Mlynski, Piotr Artiemjew
2022 B conf
Accelerating concept-dependent granulation technique using data decomposition.
IEEE Big Data
Radoslaw Cybulski, Piotr Artiemjew
2022 — conf
Application of Random Sampling in the Concept-Dependent Granulation Method.
FedCSIS (Position Papers)
Radoslaw Cybulski, Piotr Artiemjew
2022 — conf
Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems.
ICAART (3)
Jaroslaw Szkola, Piotr Artiemjew
2022 J jnl
In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks.
Sensors
Beata Bak, Jaroslaw Szkola, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde
2022 — conf
Using ConvNet for Classification Task in Parallel Coordinates Visualization of Topologically Arranged Attribute Values.
ICAART (3)
Piotr Artiemjew, Slawomir Konrad Tadeja
2021 J jnl
A Novel Ensemble Model - The Random Granular Reflections.
Fundam. Informaticae
Piotr Artiemjew, Krzysztof Ropiak
2021 J jnl
Classifying the Biological Status of Honeybee Workers Using Gas Sensors.
Sensors
Jakub Wilk, Beata Bak, Piotr Artiemjew, Jerzy Wilde, Maciej Siuda
2021 J jnl
Deep Learning for RFI Artifact Recognition in Sentinel-1 Data.
Remote. Sens.
Piotr Artiemjew, Agnieszka Chojka, Jacek Rapinski
2021 J jnl
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors.
Sensors
Beata Bak, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde
2021 J jnl
Requirements for Supporting Diagnostic Equipment of Respiration Process in Humans.
Sensors
Szymon Nitkiewicz, Robert Baranski, Marek A. Galewski, Hanna Zajaczkiewicz, Andrzej Kukwa, Andrzej Zajac, Stanislaw Ejdys, Piotr Artiemjew
2021 J jnl
The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters.
Ecol. Informatics
Marek Kruk, Piotr Artiemjew, Ewa Paturej
2020 J jnl
About Granular Rough Computing - Overview of Decision System Approximation Techniques and Future Perspectives.
Algorithms
Piotr Artiemjew
2020 J jnl
About Rule-Based Systems: Single Database Queries for Decision Making.
Future Internet
Piotr Artiemjew, Lada Rudikova, Oleg Myslivets
2020 J jnl
Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas Sensors.
Sensors
Beata Bak, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde, Maciej Siuda
2020 J jnl
Indiscernibility Mask Key for Image Steganography.
Comput.
Piotr Artiemjew, Aleksandra Kislak-Malinowska
2020 J jnl
On Granular Rough Computing: Handling Missing Values by Means of Homogeneous Granulation.
Comput.
Piotr Artiemjew, Krzysztof Ropiak
2020 J jnl
On a Hybridization of Deep Learning and Rough Set Based Granular Computing.
Algorithms
Krzysztof Ropiak, Piotr Artiemjew
2020 — ed.
Proceedings of the 28th International Workshop on Concurrency, Specification and Programming, Olsztyn, Poland, September 24-26th, 2019.
CS&P
Krzysztof Ropiak, Lech Polkowski, Piotr Artiemjew
2020 J jnl
RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques.
Sensors
Agnieszka Chojka, Piotr Artiemjew, Jacek Rapinski
2020 — conf
Random Forests and Homogeneous Granulation.
ICIST
Krzysztof Ropiak, Piotr Artiemjew
2019 — conf
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.
CS&P
Piotr Artiemjew, Pawel Idzikowski
2019 J jnl
Homogenous Granulation and Its Epsilon Variant.
Comput.
Krzysztof Ropiak, Piotr Artiemjew
2019 — conf
Missing Values Absorption Based on Homogenous Granulation.
ICIST
Piotr Artiemjew, Krzysztof Ropiak
2019 — conf
Robot Localization in the Magnetic Unstable Environment.
IRC
Piotr Artiemjew, Krzysztof Ropiak
2019 — conf
Using r-indiscernibility Relations to Hide the Presence of Information for the Least Significant Bit Steganography Technique.
ICIST
Piotr Artiemjew, Aleksandra Kislak-Malinowska
2018 — conf
A Novel Ensemble Model - The Random Granular Reflections.
CS&P
Piotr Artiemjew, Krzysztof Ropiak
2018 — conf
A Study in Granular Computing: Homogenous Granulation.
ICIST
Krzysztof Ropiak, Piotr Artiemjew
2018 J jnl
Boosting Effect of Classifier Based on Simple Granules of Knowledge.
Inf. Technol. Control.
Piotr Artiemjew
2018 — conf
On Granular Rough Computing: Epsilon Homogenous Granulation.
IJCSR
Krzysztof Ropiak, Piotr Artiemjew
2018 — conf
Robot Navigation and Path Planning by Means of Rough Mereology.
IRC
Lech Polkowski, Lukasz Zmudzinski, Piotr Artiemjew
2017 — conf
Ensemble of Classifiers Based on Simple Granules of Knowledge.
ICIST
Piotr Artiemjew
2017 — conf
Path Planning Based on Potential Fields from Rough Mereology.
IJCRS (2)
Lukasz Zmudzinski, Piotr Artiemjew
2017 — ed.
Rough Sets - International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part I
IJCRS (1)
Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Slezak, Beata Zielosko
2017 — ed.
Rough Sets - International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part II
IJCRS (2)
Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Slezak, Beata Zielosko
2016 — conf
A New Classifier Based on the Dual Indiscernibility Matrix.
ICIST
Piotr Artiemjew, Bartosz A. Nowak, Lech T. Polkowski
2015 — book
Granular Computing in Decision Approximation - An Application of Rough Mereology
Lech Polkowski, Piotr Artiemjew
2015 — conf
The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions.
RSFDGrC
Piotr Artiemjew
2015 — conf
The Localization of Mindstorms NXT in the Magnetic Unstable Environment Based on Histogram Filtering.
ICAART (2)
Piotr Artiemjew
2015 — conf
The Rough Granular Approach to Classifier Synthesis by Means of SVM.
RSFDGrC
Jacek Szypulski, Piotr Artiemjew
2014 J jnl
Rough mereology classifier vs. simple DNA microarray gene extraction methods.
Int. J. Data Min. Model. Manag.
Piotr Artiemjew
2014 — conf
Visual Dictionary Pruning Using Mutual Information and Information Gain.
ICAISC (2)
Piotr Artiemjew, Przemyslaw Górecki
2013 — ch.
A Review of the Knowledge Granulation Methods: Discrete vs. Continuous Algorithms.
Rough Sets and Intelligent Systems (2)
Piotr Artiemjew
2013 — conf
Visual words selection based on class separation measures.
ICCI*CC
Przemyslaw Górecki, Piotr Artiemjew, Pawel Drozda, Krzysztof Sopyla
2013 — conf
Visual words sequence alignment for image classification.
ICCI*CC
Pawel Drozda, Przemyslaw Górecki, Krzysztof Sopyla, Piotr Artiemjew
2012 — conf
Categorization of Similar Objects using Bag of Visual Words and Support Vector Machines.
ICAART (1)
Przemyslaw Górecki, Piotr Artiemjew, Pawel Drozda, Krzysztof Sopyla
2012 — conf
Granular Covering Selection Methods Dependent on the Granule Size.
RSKT
Piotr Artiemjew
2011 J jnl
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.
Lech Polkowski, Piotr Artiemjew
2011 — conf
The Extraction Method of DNA Microarray Features Based on Experimental A Statistics.
RSKT
Piotr Artiemjew
2011 C conf
The Extraction Method of DNA Microarray Features Based on Modified
ISMIS
Piotr Artiemjew
2010 — conf
Classifiers based on rough mereology in analysis of DNA microarray data.
SoCPaR
Piotr Artiemjew
2010 — conf
DNA microarray classification by means of weighted voting based on rough set classifier.
SoCPaR
Przemyslaw Górecki, Piotr Artiemjew
2009 J jnl
On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology.
Int. J. Comput. Intell. Syst.
Lech Polkowski, Piotr Artiemjew
2008 J jnl
A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data.
Trans. Rough Sets
Lech Polkowski, Piotr Artiemjew
2008 — conf
Natural versus Granular Computing: Classifiers from Granular Structures.
RSCTC
Piotr Artiemjew
2008 — conf
On Classification of Data by Means of Rough Mereological Granules of Objects and Rules.
RSKT
Piotr Artiemjew
2008 J jnl
On Classifying Mappings Induced by Granular Structures.
Trans. Rough Sets
Lech Polkowski, Piotr Artiemjew
2008 — conf
Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions.
RSKT
Piotr Artiemjew
2008 — conf
Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions.
RSCTC
Lech Polkowski, Piotr Artiemjew
2008 — ch.
Rough Sets In Data Analysis: Foundations and Applications.
Applications of Computational Intelligence in Biology
Lech Polkowski, Piotr Artiemjew
2007 — conf
Granular Computing: Granular Classifiers and Missing Values.
IEEE ICCI
Lech Polkowski, Piotr Artiemjew
2007 — conf
On Granular Rough Computing with Missing Values.
RSEISP
Lech Polkowski, Piotr Artiemjew
2007 — conf
On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems.
RSEISP
Lech Polkowski, Piotr Artiemjew