Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System. - Adam Nowicki; Michal Grochowski (ICCCI (1), 2011)

Data-driven models for fault detection using kernel PCA: A water distribution system case study. - Adam Nowicki; Michal Grochowski; Kazimierz Duzinkiewicz (Int. J. Appl. Math. Comput. Sci., 2012)

Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states. - Michal Grochowski; Maciej Matczak; Michal Sokolowski (MMAR, 2015)

Pipeline system for heat transportation from nuclear power plant - An optimizing approach. - Piotr Hirsch; Michal Grochowski; Kazimierz Duzinkiewicz (MMAR, 2015)

Supervised model predictive control of wastewater treatment plant. - Michal Grochowski; Tomasz A. Rutkowski (MMAR, 2016)

Evolving neural network as a decision support system - Controller for a game of "2048" case study. - Arkadiusz Kwasigroch; Michal Grochowski (MMAR, 2016)

Application of data driven methods in diagnostic of selected process faults of nuclear power plant steam turbine. - Karol Kulkowski; Michal Grochowski; Anna Kobylarz; Kazimierz Duzinkiewicz (KKA, 2017)

Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study. - Arkadiusz Kwasigroch; Agnieszka Mikolajczyk; Michal Grochowski (KKA, 2017)

Intelligent system supporting diagnosis of malignant melanoma. - Agnieszka Mikolajczyk; Arkadiusz Kwasigroch; Michal Grochowski (KKA, 2017)

Deep neural networks approach to skin lesions classification - A comparative analysis. - Arkadiusz Kwasigroch; Agnieszka Mikolajczyk; Michal Grochowski (MMAR, 2017)

Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study. - Agnieszka Mikolajczyk; Michal Grochowski; Arkadiusz Kwasigroch (MMAR, 2018)

Deep neural network architecture search using network morphism. - Arkadiusz Kwasigroch; Michal Grochowski; Mateusz Mikolajczyk (MMAR, 2019)

Style transfer-based image synthesis as an efficient regularization technique in deep learning. - Agnieszka Mikolajczyk; Michal Grochowski (MMAR, 2019)

Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. - Zuzanna Klawikowska; Agnieszka Mikolajczyk; Michal Grochowski (ICAISC (1), 2020)

Neural Architecture Search for Skin Lesion Classification. - Arkadiusz Kwasigroch; Michal Grochowski; Agnieszka Mikolajczyk (IEEE Access, 2020)

Global explanations for discovering bias in data. - Agnieszka Mikolajczyk; Michal Grochowski; Arkadiusz Kwasigroch (CoRR, 2020)

Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data. - Agnieszka Mikolajczyk; Michal Grochowski; Arkadiusz Kwasigroch (J. Artif. Intell. Soft Comput. Res., 2021)

Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis. - Maria Ferlin; Zuzanna Klawikowska; Julia Niemierko; Malgorzata Grzywinska; Arkadiusz Kwasigroch; Edyta Szurowska; Michal Grochowski (DPS, 2022)

How High-Tech Solutions Support the Fight Against IUU and Ghost Fishing: A Review of Innovative Approaches, Methods, and Trends. - Zuzanna Klawikowska; Tomasz Ujazdowski; Michal Grochowski; Robert Piotrowski (IEEE Access, 2022)

Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models. - Jakub Buler; Rafal Buler; Maciej Bobowicz; Maria Ferlin; Marlena Rygusik; Arkadiusz Kwasigroch; Michal Grochowski (MMAR, 2023)

Review of methods for automatic cerebral microbleeds detection. - Maria Ferlin; Zuzanna Klawikowska; Michal Grochowski; Malgorzata Grzywinska; Edyta Szurowska (CoRR, 2023)

A survey on bias in machine learning research. - Agnieszka Mikolajczyk-Barela; Michal Grochowski (CoRR, 2023)

Targeted Data Augmentation for bias mitigation. - Agnieszka Mikolajczyk-Barela; Maria Ferlin; Michal Grochowski (CoRR, 2023)

Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges. - Maria Ferlin; Zuzanna Klawikowska; Michal Grochowski; Malgorzata Grzywinska; Edyta Szurowska (Expert Syst. Appl., 2023)

Optimizing Control of Wastewater Treatment Plant With Reinforcement Learning: Technical Evaluation of Twin-Delayed Deep Deterministic Policy Gradient Agent. - Zuzanna Klawikowska; Michal Grochowski (IEEE Access, 2024)

Targeted data augmentation for improving model robustness. - Agnieszka Mikolajczyk-Barela; Maria Ferlin; Michal Grochowski (Int. J. Appl. Math. Comput. Sci., 2025)