Publications

S. Majchrowska, A. Mikolajczyk, M. Ferlin, Z. Klawikowska, M. A Plantykow, A. Kwasigroch, K. Majek (2022). Deep learning-based waste detection in natural and urban environments. Waste Management.

S. Majchrowska, A. Mikolajczyk, M. Ferlin, Z. Klawikowska, M. A Plantykow, A. Kwasigroch, K. Majek (2021). Waste detection in Pomerania: non-profit project for detecting waste in environment. arXiv preprint arXiv:2105.06808.

A. Mikolajczyk, M. Grochowski, A. Kwasigroch (2021). Towards explainable classifiers using the counterfactual approach-global explanations for discovering bias in data. Journal of Artificial Intelligence and Soft Computing Research.

A. Mikolajczyk, A. Wawrzynski, P. Pezik, M. Adamczyk, A. Kaczmarek, W. Janowski (2021). PolEval 2021 Task 1: Punctuation Restoration from Read Text. Proceedings ofthePolEval2021Workshop.

R. Pappagari, P. .Zelasko, A. Mikolajczyk, P. Pkezik, N. Dehak (2021). Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios. arXiv preprint arXiv:2109.06103.

M. Anna Ferlin, M. Grochowski, A. Kwasigroch, A. Mikolajczyk, E. Szurowska, M. Grzywi'nska, A. Sabisz (2021). A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System. Electronics.

A. Kwasigroch, M. Grochowski, A. Mikolajczyk (2020). Self-Supervised Learning to Increase the Performance of Skin Lesion Classification. Electronics.

A. Kwasigroch, M. Grochowski, A. Mikolajczyk (2020). Neural Architecture Search for Skin Lesion Classification. IEEE Access.

Z. Klawikowska, A. Mikolajczyk, M. Grochowski (2020). Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. International Conference on Artificial Intelligence and Soft Computing.

A. Mikolajczyk, M. Grochowski (2019). Style transfer-based image synthesis as an efficient regularization technique in deep learning. 24th International Conference on Methods and Models in Automation and Robotics, arXiv:1905.10974.

M. Grochowski, A. Kwasigroch, A. Mikolajczyk (2019). Selected Technical Issues of Deep Neural Networks for Image Classification Purposes. Bulletin of the Polish Academy of Sciences: Technical Sciences.

M. Grochowski, M. Wkasowicz, A. Mikolajczyk, M. Ficek, M. Kulka, M. Wr'obel, M. Jkedrzejewska-Szczerska (2019). Machine learning system for automated blood smear analysis. Metrology and Measurement Systems.

M. Grochowski, A. Mikolajczyk, A. Kwasigroch (2019). Diagnosis of malignant melanoma by neural network ensemble-based system utilising hand-crafted skin lesion features. Metrology and Measurement Systems.

A. Mikolajczyk, M. Grochowski, A. Kwasigroch (2018). Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes-Skin Lesions Case Study. 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR).

A. Mikolajczyk, M. Grochowski (2018). Data augmentation for improving deep learning in image classification problem. 2018 International Interdisciplinary PhD Workshop (IIPhDW).

A. Mikolajczyk, A. Kwasigroch, M. Grochowski (2017). Intelligent system supporting diagnosis of malignant melanoma. Polish Control Conference.

A. Kwasigroch, A. Mikolajczyk, M. Grochowski (2017). Deep neural networks approach to skin lesions classification—A comparative analysis. 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR).

M. Wkasowicz, M. Grochowski, M. Kulka, A. Mikolajczyk, M. Ficek, K. Karpie'nko, M. Ci'ckiewicz (2017). Computer aided detection of abnormal erythrocytes for analysis of the in vitro interactions of nanodiamonds with human blood. The Second International Conference.

A. Mikolajczyk (2016). Analiza znamion sk'ornych przy pomocy metod przetwarzania obrazu i algorytm'ow inteligencji obliczeniowej.