Michal Grochowski
Orcid: 0000-0002-2453-2410
According to our database1,
Michal Grochowski
authored at least 24 papers
between 2011 and 2023.
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Bibliography
2023
Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges.
Expert Syst. Appl., December, 2023
Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models.
Proceedings of the 27th International Conference on Methods and Models in Automation and Robotics, 2023
2022
How High-Tech Solutions Support the Fight Against IUU and Ghost Fishing: A Review of Innovative Approaches, Methods, and Trends.
IEEE Access, 2022
Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis.
Proceedings of the Intelligent and Safe Computer Systems in Control and Diagnostics, 2022
2021
Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data.
J. Artif. Intell. Soft Comput. Res., 2021
2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
2019
Style transfer-based image synthesis as an efficient regularization technique in deep learning.
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
2018
Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018
2017
Deep neural networks approach to skin lesions classification - A comparative analysis.
Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017
Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study.
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017
Application of data driven methods in diagnostic of selected process faults of nuclear power plant steam turbine.
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017
2016
Evolving neural network as a decision support system - Controller for a game of "2048" case study.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
2015
Pipeline system for heat transportation from nuclear power plant - An optimizing approach.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
2012
Data-driven models for fault detection using kernel PCA: A water distribution system case study.
Int. J. Appl. Math. Comput. Sci., 2012
2011
Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011