| Data augmentation for improving deep learning in image classification problem A Mikołajczyk, M Grochowski 2018 International Interdisciplinary PhD Workshop (IIPhDW), 117-122, 2018 | 1953 | 2018 |
| Deep learning-based waste detection in natural and urban environments S Majchrowska, A Mikołajczyk, M Ferlin, Z Klawikowska, MA Plantykow, ... Waste Management 138, 274-284, 2022 | 208 | 2022 |
| Deep neural networks approach to skin lesions classification—A comparative analysis A Kwasigroch, A Mikołajczyk, M Grochowski 2017 22nd International Conference on Methods and Models in Automation and …, 2017 | 94 | 2017 |
| Neural Architecture Search for Skin Lesion Classification A Kwasigroch, M Grochowski, A Mikołajczyk IEEE Access 8, 9061-9071, 2020 | 67 | 2020 |
| Deep convolutional neural networks as a decision support tool in medical problems–malignant melanoma case study A Kwasigroch, A Mikołajczyk, M Grochowski Trends in Advanced Intelligent Control, Optimization and Automation …, 2017 | 39 | 2017 |
| Style transfer-based image synthesis as an efficient regularization technique in deep learning A Mikołajczyk, M Grochowski 24th International Conference on Methods and Models in Automation and …, 2019 | 31 | 2019 |
| Self-Supervised Learning to Increase the Performance of Skin Lesion Classification A Kwasigroch, M Grochowski, A Mikołajczyk Electronics 9 (11), 1930, 2020 | 30 | 2020 |
| Towards explainable classifiers using the counterfactual approach-global explanations for discovering bias in data A Mikołajczyk, M Grochowski, A Kwasigroch Journal of Artificial Intelligence and Soft Computing Research 11 (1), 51-67, 2021 | 29 | 2021 |
| Selected Technical Issues of Deep Neural Networks for Image Classification Purposes M Grochowski, A Kwasigroch, A Mikołajczyk Bulletin of the Polish Academy of Sciences: Technical Sciences 67 (2), 363-376, 2019 | 25 | 2019 |
| A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System MA Ferlin, M Grochowski, A Kwasigroch, A Mikołajczyk, E Szurowska, ... Electronics 10 (18), 2208, 2021 | 16 | 2021 |
| Intelligent system supporting diagnosis of malignant melanoma A Mikołajczyk, A Kwasigroch, M Grochowski Trends in Advanced Intelligent Control, Optimization and Automation …, 2017 | 16 | 2017 |
| Computer aided detection of abnormal erythrocytes for analysis of the in vitro interactions of nanodiamonds with human blood M Wąsowicz, M Grochowski, M Kulka, A Mikołajczyk, M Ficek, ... The Second International Conference, 2017 | 15* | 2017 |
| Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer P Pęzik, A Mikołajczyk-Bareła, A Wawrzyński, B Nitoń, M Ogrodniczuk arXiv preprint arXiv:2209.14008, 2022 | 14 | 2022 |
| The (de) biasing effect of gan-based augmentation methods on skin lesion images A Mikołajczyk, S Majchrowska, S Carrasco Limeros International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
| Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios R Pappagari, P Żelasko, A Mikołajczyk, P Pęzik, N Dehak 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 13 | 2021 |
| Machine learning system for automated blood smear analysis M Grochowski, M Wąsowicz, A Mikołajczyk, M Ficek, M Kulka, M Wróbel, ... Metrology and Measurement Systems 26 (1), 81-93, 2019 | 12 | 2019 |
| Diagnosis of malignant melanoma by neural network ensemble-based system utilising hand-crafted skin lesion features M Grochowski, A Mikołajczyk, A Kwasigroch Metrology and Measurement Systems 26 (1), 65-80, 2019 | 11 | 2019 |
| PolEval 2022/23 Challenge Tasks and Results Ł Kobyliński, M Ogrodniczuk, P Rybak, P Przybyła, P Pęzik, A Mikołajczyk, ... 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | 8 | 2023 |
| Explainable ai for inspecting adversarial attacks on deep neural networks Z Klawikowska, A Mikołajczyk, M Grochowski Artificial Intelligence and Soft Computing: 19th International Conference …, 2020 | 6 | 2020 |
| A survey on bias in machine learning research A Mikołajczyk-Bareła, M Grochowski arXiv preprint arXiv:2308.11254, 2023 | 3 | 2023 |
Michał GrochowskiGdańsk University of Technology; Department of Intelligent Control and Decision Support SystemsVerified email at pg.edu.pl
