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ORCIDMichal Grochowski
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2020 – today
- 2024
[j6]Zuzanna Klawikowska
, Michal Grochowski:
Optimizing Control of Wastewater Treatment Plant With Reinforcement Learning: Technical Evaluation of Twin-Delayed Deep Deterministic Policy Gradient Agent. IEEE Access 12: 130318-130333 (2024)- 2023
- [j5]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: 120655 (2023) - [c15]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: 105-110 - [i5]Maria Ferlin, Zuzanna Klawikowska, Michal Grochowski, Malgorzata Grzywinska, Edyta Szurowska:
Review of methods for automatic cerebral microbleeds detection. CoRR abs/2301.13549 (2023) - [i4]Agnieszka Mikolajczyk-Barela, Michal Grochowski:
A survey on bias in machine learning research. CoRR abs/2308.11254 (2023) - [i3]Agnieszka Mikolajczyk-Barela, Maria Ferlin, Michal Grochowski:
Targeted Data Augmentation for bias mitigation. CoRR abs/2308.11386 (2023) - 2022
- [j4]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: 112539-112554 (2022) - [c14]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: 3-16 - 2021
- [j3]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): 51-67 (2021) - 2020
- [j2]Arkadiusz Kwasigroch, Michal Grochowski, Agnieszka Mikolajczyk:
Neural Architecture Search for Skin Lesion Classification. IEEE Access 8: 9061-9071 (2020) - [c13]Zuzanna Klawikowska, Agnieszka Mikolajczyk, Michal Grochowski:
Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. ICAISC (1) 2020: 134-146 - [i2]Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch:
Global explanations for discovering bias in data. CoRR abs/2005.02269 (2020)
2010 – 2019
- 2019
- [c12]Arkadiusz Kwasigroch, Michal Grochowski, Mateusz Mikolajczyk:
Deep neural network architecture search using network morphism. MMAR 2019: 30-35 - [c11]Agnieszka Mikolajczyk, Michal Grochowski:
Style transfer-based image synthesis as an efficient regularization technique in deep learning. MMAR 2019: 42-47 - [i1]Agnieszka Mikolajczyk, Michal Grochowski:
Style transfer-based image synthesis as an efficient regularization technique in deep learning. CoRR abs/1905.10974 (2019) - 2018
- [c10]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: 899-904 - 2017
- [c9]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: 631-640 - [c8]Agnieszka Mikolajczyk, Arkadiusz Kwasigroch, Michal Grochowski:
Intelligent system supporting diagnosis of malignant melanoma. KKA 2017: 828-837 - [c7]Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski:
Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study. KKA 2017: 848-856 - [c6]Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski:
Deep neural networks approach to skin lesions classification - A comparative analysis. MMAR 2017: 1069-1074 - 2016
- [c5]Arkadiusz Kwasigroch, Michal Grochowski:
Evolving neural network as a decision support system - Controller for a game of "2048" case study. MMAR 2016: 549-554 - [c4]Michal Grochowski, Tomasz A. Rutkowski:
Supervised model predictive control of wastewater treatment plant. MMAR 2016: 613-618 - 2015
- [c3]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: 541-546 - [c2]Piotr Hirsch, Michal Grochowski, Kazimierz Duzinkiewicz:
Pipeline system for heat transportation from nuclear power plant - An optimizing approach. MMAR 2015: 1044-1049 - 2012
- [j1]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): 939-949 (2012) - 2011
- [c1]Adam Nowicki, Michal Grochowski:
Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System. ICCCI (1) 2011: 497-506
Coauthor Index
aka: Agnieszka Mikolajczyk-Barela
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last updated on 2024-10-07 22:19 CEST by the dblp team
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