| Data augmentation for improving deep learning in image classification problem A Mikołajczyk, M Grochowski 2018 International Interdisciplinary PhD Workshop (IIPhDW), 117-122, 2018 | 431 | 2018 |
| 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 | 36 | 2017 |
| Deep convolutional neural networks as a decision support tool in medical problems–malignant melanoma case study A Kwasigroch, A Mikołajczyk, M Grochowski Polish Control Conference, 848-856, 2017 | 21 | 2017 |
| Intelligent system supporting diagnosis of malignant melanoma A Mikołajczyk, A Kwasigroch, M Grochowski Polish Control Conference, 828-837, 2017 | 14 | 2017 |
| Neural Architecture Search for Skin Lesion Classification A Kwasigroch, M Grochowski, A Mikołajczyk IEEE Access 8, 9061-9071, 2020 | 13 | 2020 |
| 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 | 13 | 2019 |
| 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 | 11 | 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 | 6 | 2019 |
| 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 | 6 | 2019 |
| 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 | 5* | 2017 |
| 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 | 4* | 2021 |
| Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes-Skin Lesions Case Study A Mikolajczyk, M Grochowski, A Kwasigroch 2018 23rd International Conference on Methods & Models in Automation …, 2018 | 1 | 2018 |
| System wspomagający diagnostykę czerniaka złośliwego przy pomocy metod przetwarzania obrazu i algorytmów inteligencji obliczeniowej A Mikołajczyk, A Kwasigroch, M Grochowski Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej …, 2016 | 1 | 2016 |
| Waste detection in Pomerania: non-profit project for detecting waste in environment S Majchrowska, A Mikołajczyk, M Ferlin, Z Klawikowska, MA Plantykow, ... arXiv preprint arXiv:2105.06808, 2021 | | 2021 |
| Self-Supervised Learning to Increase the Performance of Skin Lesion Classification A Kwasigroch, M Grochowski, A Mikołajczyk Electronics 9 (11), 1930, 2020 | | 2020 |
| Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks Z Klawikowska, A Mikołajczyk, M Grochowski International Conference on Artificial Intelligence and Soft Computing, 134-146, 2020 | | 2020 |
| Analiza istotności cech znamion skórnych dla celów diagnostyki czerniaka złośliwego A Mikołajczyk, M Grochowski Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej, 2018 | | 2018 |
| A low and medium frequency magnetic field measuring system for assessment of human body exposure T LISEWSKI, A MIKOŁAJCZYK, MR SKI, S ABRAMIK | | 2017 |
| Analiza znamion skórnych przy pomocy metod przetwarzania obrazu i algorytmów inteligencji obliczeniowej A Mikołajczyk Przemysłowy Instatytut Automatyki i Pomiarów PIAP, 2016 | | 2016 |
Michał GrochowskiGdańsk University of Technology; Faculty of Electrical and Control Engineering; Department ofZweryfikowany adres z pg.edu.pl
