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Towards explainable classifiers using the counterfactual approach : global explanations for discovering bias in data

Mikołajczyk Agnieszka, Grochowski Michał, Kwasigroch Arkadiusz

Journal of Artificial Intelligence and Soft Computing Research

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2021

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Vol. 11, No. 1

51--67

EN

The paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results are validated on a sample skin lesion dataset. Using the proposed method, a number of possible bias-causing artifacts are successfully identified and confirmed in dermoscopy images. In particular, it is confirmed that black frames have a strong influence on Convolutional Neural Network’s prediction: 22% of them changed the prediction from benign to malignant.

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Machine learning system for automated blood smear analysis

Grochowski Michał, Wąsowicz Michał, Mikołajczyk Agnieszka, Ficek Mateusz, Kulka Marek, Wróbel Maciej S., Jędrzejewska-Szczerska Małgorzata

Metrology and Measurement Systems

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2019

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Vol. 26, nr 1

81--93

EN

In this paper the authors propose a decision support system for automatic blood smear analysis based onmicroscopic images. The images are pre-processed in order to remove irrelevant elements and to enhancethe most important ones – the healthy blood cells (erythrocytes) and the pathologic ones (echinocytes). The separated blood cells are analysed in terms of their most important features by the eigenfaces method. The features are the basis for designing the neural network classifier, learned to distinguish between erythrocytes and echinocytes. As the result, the proposed system is able to analyse the smear blood images in a fully automatic way and to deliver information on the number and statistics of the red blood cells, both healthy and pathologic. The system was examined in two case studies, involving the canine and human blood, and then consulted with the experienced medicine specialists. The accuracy of classification of red blood cells into erythrocytes and echinocytes reaches 96%.

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Diagnosis of malignant melanoma by neural network ensemble-based system utilising hand-crafted skin lesion features

Grochowski Michał, Mikołajczyk Agnieszka, Kwasigroch Arkadiusz

Metrology and Measurement Systems

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2019

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Vol. 26, nr 1

65--80

EN

Malignant melanomas are the most deadly type of skin cancer, yet detected early have high chances of successful treatment. In the last twenty years, the interest in automatic recognition and classification of melanoma dynamically increased, partly because of appearing public datasets with dermatoscopic images of skin lesions. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task due to uneven sizes of datasets, huge intra-class variation with small interclass variation, and the existence of many artifacts in the images. One of the most recognized methods of melanoma diagnosis is the ABCD method. In the paper, we propose an extended version of this method and an intelligent decision support system based on neural networks that uses its results in the form of hand-crafted features. Automatic determination of the skin features with the ABCD method is difficult due to the large diversity of images of various quality, the existence of hair, different markers and other obstacles. Therefore, it was necessary to apply advanced methods of pre-processing the images. The proposed system is an ensemble of ten neural networks working in parallel, and one network using their results to generate a final decision. This system structure enables to increase the efficiency of its operation by several percentage points compared with asingle neural network. The proposed system is trained on over 5000 and tested afterwards on 200 skin moles. The presented system can be used as a decision support system for primary care physicians, as a system capable of self-examination of the skin with a dermatoscope and also as an important tool to improve biopsy decision making.

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Miejskie farmy wertykalne następstwem rozwoju miast w ramach gospodarki post-wzrostowej (post-growth economy)

Mikołajczyk Agnieszka

Zeszyty Naukowe Wyższej Szkoły Technicznej w Katowicach

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2018

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nr 10

9--26

PL

W ramach niniejszego artykułu podjęto problematykę autonomii żywnościowej oraz „samowystarczalności" potrzeb miasta w czasach przemian gospodarczych świata. Przeprowadzona analiza zagrożeń gospodarki nastawionej na konsumpcjonizm przedstawia możliwe rozwiązania mające korzystny wpływ na gospodarkę lokalną, ale także uatrakcyjnienie przestrzeni intensywnie rozrastających się miast. Niekorzystne zjawiska meteorologiczne i urbanistyczne potwierdzają tezy dotyczące wyczerpywania się surowców naturalnych oraz wysokiego zanieczyszczenia środowiska. Dodatkowo podejmując temat śladu ekologicznego i strat ekonomicznych jakie niesie za sobą gospodarka uzależniona od exportu proponuje się innowacyjne rozwiązanie jakim jest wdrażanie miejskich farm wertykalnych. Przedstawienie możliwości technologicznoprojektowych lokalnej produkcji żywności oraz przytoczenie światowych realizacji dokonano analizy możliwości potencjalnych lokalizacji farm wertykalnych w ramach gospodarki regionalnej Jako główny przykład przedstawiony zostanie Miejski Park Produkcji Żywności, będący projektem zagospodarowania terenów pokolejowych w Katowicach, opracowany w ramach pracy dyplomowej na studiach I stopnia kierunku Architektura i Urbanistyka. Przedstawione w ten sposób idee mają zobrazować realne możliwości tego typu inwestycji i ich wpływ na odbiór terenów miejskich przeznaczonych pod produkcję żywności lokalnej. Innowacyjność rozwiązań nadaje kierunek dalszego rozwoju miast jak i oznacza realny potencjał gospodarek lokalnych do przemian w zakresie dążenia do zrównoważonego rozwoju ale także do tzw. „samowystarczalności".

EN

This article deals with the issues of food auto nomy and sustainability of ur ban needs in times of world economic transformation. The conducted analysis of risks to the economy targeted at consumerism shows possible solutions having a beneficial impact on the local economy as well as on making the space of intensely growing cities more attractive. Adverse weather and urban phenomena confirm the theses concerning the depletion of natural resources and high environment contamination. Additionally, tackling the issue of ecological trace and economic losses resulting from economy dependent on export, innovative solutions are offered, that is implementation of urban vertical farms. The presentation of technological and designing possibilities of local food production and reference to world realisations were bases for analysis of possibilities of potentia! locations for vertical farms as part of regional economy. The mai n example will be the Urban Food Production Park being a project for development of post-railway lands in Katowice, developed as part of Bachelor's thesis at first-cycle studies of Architecture and Town Planning. The ideas presented in such a man ner are to picture real possibilities of such investments and their impact on the reception of urban areas intended for production of local food. The innovativeness of solutions gives direction for further development of cities and means real potentia! of loca I economies for transformations in the scope of striving for sustainable growth as well as the socalled sustainability.