Piotr Artiemjew
Orcid: 0000-0001-5508-9856
According to our database1,
Piotr Artiemjew
authored at least 64 papers
between 2007 and 2024.
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Bibliography
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
2023
Sensors, December, 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
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
Proceedings of the Position Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Sensors, 2021
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
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
Future Internet, 2020
On Granular Rough Computing: Handling Missing Values by Means of Homogeneous Granulation.
Comput., 2020
Algorithms, 2020
About Granular Rough Computing - Overview of Decision System Approximation Techniques and Future Perspectives.
Algorithms, 2020
Proceedings of the Information and Software Technologies - 26th International Conference, 2020
2019
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019
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
Inf. Technol. Control., 2018
Proceedings of the Rough Sets - International Joint Conference, 2018
Proceedings of the Second IEEE International Conference on Robotic Computing, 2018
Proceedings of the Information and Software Technologies - 24th International Conference, 2018
2017
Proceedings of the Rough Sets - International Joint Conference, 2017
Proceedings of the Information and Software Technologies - 23rd International Conference, 2017
2016
Proceedings of the Information and Software Technologies - 22nd International Conference, 2016
2015
Intelligent Systems Reference Library 77, Springer, ISBN: 978-3-319-12880-1, 2015
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015
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
Int. J. Data Min. Model. Manag., 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
2013
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013
2012
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
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
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
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008
A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data.
Trans. Rough Sets, 2008
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
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
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007