Michal Grochowski

31 papers Misc 11Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Bias in Machine Learning Research. IEEE Access Agnieszka Mikolajczyk-Barela, Michal Grochowski
2025	J	`jnl`	Accuracy is Not Enough: Multi-Head Gated Attention Multiple Instance Learning Model for Explainable Breast Cancer Diagnosis. IEEE Access Jakub Buler, Rafal Buler, Maciej Bobowicz, Michal Grochowski
2025	Misc	`conf`	Comprehensive Quantitative Evaluation of the Performance and Trustworthiness of Deep Learning Models - Skin Lesion Classification Case Study. MMAR Krystian Brzozowski, Jakub Buler, Rafal Buler, Michal Grochowski
2025	Misc	`conf`	Multi-Head Attention Multiple Instance Learning Deep Neural Classifier Enhanced with Model Uncertainty Quantification. MMAR Jakub Buler, Rafal Buler, Krystian Brzozowski, Michal Grochowski
2025	J	`jnl`	Targeted data augmentation for improving model robustness. Int. J. Appl. Math. Comput. Sci. Agnieszka Mikolajczyk-Barela, Maria Ferlin, Michal Grochowski
2024	J	`jnl`	Optimizing Control of Wastewater Treatment Plant With Reinforcement Learning: Technical Evaluation of Twin-Delayed Deep Deterministic Policy Gradient Agent. IEEE Access Zuzanna Klawikowska, Michal Grochowski
2023	J	`jnl`	A survey on bias in machine learning research. CoRR Agnieszka Mikolajczyk-Barela, Michal Grochowski
2023	J	`jnl`	Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges. Expert Syst. Appl. Maria Ferlin, Zuzanna Klawikowska, Michal Grochowski, Malgorzata Grzywinska, Edyta Szurowska
2023	Misc	`conf`	Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models. MMAR Jakub Buler, Rafal Buler, Maciej Bobowicz, Maria Ferlin, Marlena Rygusik, Arkadiusz Kwasigroch, Michal Grochowski
2023	J	`jnl`	Review of methods for automatic cerebral microbleeds detection. CoRR Maria Ferlin, Zuzanna Klawikowska, Michal Grochowski, Malgorzata Grzywinska, Edyta Szurowska
2023	J	`jnl`	Targeted Data Augmentation for bias mitigation. CoRR Agnieszka Mikolajczyk-Barela, Maria Ferlin, Michal Grochowski
2022	J	`jnl`	How High-Tech Solutions Support the Fight Against IUU and Ghost Fishing: A Review of Innovative Approaches, Methods, and Trends. IEEE Access Zuzanna Klawikowska, Tomasz Ujazdowski, Michal Grochowski, Robert Piotrowski
2022	—	`conf`	Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis. DPS Maria Ferlin, Zuzanna Klawikowska, Julia Niemierko, Malgorzata Grzywinska, Arkadiusz Kwasigroch, Edyta Szurowska, Michal Grochowski
2021	J	`jnl`	Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data. J. Artif. Intell. Soft Comput. Res. Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch
2020	—	`conf`	Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. ICAISC (1) Zuzanna Klawikowska, Agnieszka Mikolajczyk, Michal Grochowski
2020	J	`jnl`	Global explanations for discovering bias in data. CoRR Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch
2020	J	`jnl`	Neural Architecture Search for Skin Lesion Classification. IEEE Access Arkadiusz Kwasigroch, Michal Grochowski, Agnieszka Mikolajczyk
2019	Misc	`conf`	Deep neural network architecture search using network morphism. MMAR Arkadiusz Kwasigroch, Michal Grochowski, Mateusz Mikolajczyk
2019	Misc	`conf`	Style transfer-based image synthesis as an efficient regularization technique in deep learning. MMAR Agnieszka Mikolajczyk, Michal Grochowski
2019	J	`jnl`	Style transfer-based image synthesis as an efficient regularization technique in deep learning. CoRR Agnieszka Mikolajczyk, Michal Grochowski
2018	Misc	`conf`	Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study. MMAR Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch
2017	—	`conf`	Application of data driven methods in diagnostic of selected process faults of nuclear power plant steam turbine. KKA Karol Kulkowski, Michal Grochowski, Anna Kobylarz, Kazimierz Duzinkiewicz
2017	—	`conf`	Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study. KKA Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski
2017	Misc	`conf`	Deep neural networks approach to skin lesions classification - A comparative analysis. MMAR Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski
2017	—	`conf`	Intelligent system supporting diagnosis of malignant melanoma. KKA Agnieszka Mikolajczyk, Arkadiusz Kwasigroch, Michal Grochowski
2016	Misc	`conf`	Evolving neural network as a decision support system - Controller for a game of "2048" case study. MMAR Arkadiusz Kwasigroch, Michal Grochowski
2016	Misc	`conf`	Supervised model predictive control of wastewater treatment plant. MMAR Michal Grochowski, Tomasz A. Rutkowski
2015	Misc	`conf`	Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states. MMAR Michal Grochowski, Maciej Matczak, Michal Sokolowski
2015	Misc	`conf`	Pipeline system for heat transportation from nuclear power plant - An optimizing approach. MMAR Piotr Hirsch, Michal Grochowski, Kazimierz Duzinkiewicz
2012	J	`jnl`	Data-driven models for fault detection using kernel PCA: A water distribution system case study. Int. J. Appl. Math. Comput. Sci. Adam Nowicki, Michal Grochowski, Kazimierz Duzinkiewicz
2011	—	`conf`	Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System. ICCCI (1) Adam Nowicki, Michal Grochowski