Michal Grochowski

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 23

Top Topics

Top Venues

Publications

Maria Ferlin, Zuzanna Klawikowska, Michal Grochowski, Malgorzata Grzywinska, Edyta Szurowska
Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges. Expert Syst. Appl. 232 (2023)
Agnieszka Mikolajczyk-Barela, Michal Grochowski
A survey on bias in machine learning research. CoRR (2023)
Jakub Buler, Rafal Buler, Maciej Bobowicz, Maria Ferlin, Marlena Rygusik, Arkadiusz Kwasigroch, Michal Grochowski
Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models. MMAR (2023)
Agnieszka Mikolajczyk-Barela, Maria Ferlin, Michal Grochowski
Targeted Data Augmentation for bias mitigation. CoRR (2023)
Maria Ferlin, Zuzanna Klawikowska, Michal Grochowski, Malgorzata Grzywinska, Edyta Szurowska
Review of methods for automatic cerebral microbleeds detection. CoRR (2023)
Zuzanna Klawikowska, Tomasz Ujazdowski, Michal Grochowski, Robert Piotrowski
How High-Tech Solutions Support the Fight Against IUU and Ghost Fishing: A Review of Innovative Approaches, Methods, and Trends. IEEE Access 10 (2022)
Maria Ferlin, Zuzanna Klawikowska, Julia Niemierko, Malgorzata Grzywinska, Arkadiusz Kwasigroch, Edyta Szurowska, Michal Grochowski
Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis. DPS (2022)
Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch
Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data. J. Artif. Intell. Soft Comput. Res. 11 (1) (2021)
Zuzanna Klawikowska, Agnieszka Mikolajczyk, Michal Grochowski
Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. ICAISC (1) (2020)
Arkadiusz Kwasigroch, Michal Grochowski, Agnieszka Mikolajczyk
Neural Architecture Search for Skin Lesion Classification. IEEE Access 8 (2020)
Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch
Global explanations for discovering bias in data. CoRR (2020)
Agnieszka Mikolajczyk, Michal Grochowski
Style transfer-based image synthesis as an efficient regularization technique in deep learning. CoRR (2019)
Arkadiusz Kwasigroch, Michal Grochowski, Mateusz Mikolajczyk
Deep neural network architecture search using network morphism. MMAR (2019)
Agnieszka Mikolajczyk, Michal Grochowski
Style transfer-based image synthesis as an efficient regularization technique in deep learning. MMAR (2019)
Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch
Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study. MMAR (2018)
Agnieszka Mikolajczyk, Arkadiusz Kwasigroch, Michal Grochowski
Intelligent system supporting diagnosis of malignant melanoma. KKA (2017)
Karol Kulkowski, Michal Grochowski, Anna Kobylarz, Kazimierz Duzinkiewicz
Application of data driven methods in diagnostic of selected process faults of nuclear power plant steam turbine. KKA (2017)
Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski
Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study. KKA (2017)
Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski
Deep neural networks approach to skin lesions classification - A comparative analysis. MMAR (2017)
Arkadiusz Kwasigroch, Michal Grochowski
Evolving neural network as a decision support system - Controller for a game of "2048" case study. MMAR (2016)
Michal Grochowski, Tomasz A. Rutkowski
Supervised model predictive control of wastewater treatment plant. MMAR (2016)
Michal Grochowski, Maciej Matczak, Michal Sokolowski
Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states. MMAR (2015)
Piotr Hirsch, Michal Grochowski, Kazimierz Duzinkiewicz
Pipeline system for heat transportation from nuclear power plant - An optimizing approach. MMAR (2015)
Adam Nowicki, Michal Grochowski, Kazimierz Duzinkiewicz
Data-driven models for fault detection using kernel PCA: A water distribution system case study. Int. J. Appl. Math. Comput. Sci. 22 (4) (2012)
Adam Nowicki, Michal Grochowski
Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System. ICCCI (1) (2011)