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2020 – today
- 2024
[c7]Oleksandr Davydko
, Vladimir Pavlov, Przemyslaw Biecek, Luca Longo:
SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps. xAI (4) 2024: 3-23- [c6]Oleksandr Davydko:
Assesing the Interpretability of the Statistical Radiomic Features via Image Saliency Maps in Medical Image Classification Tasks. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 337-344 - 2023
- [c5]Oleksandr Davydko:
Lung images Classification with Textural Characteristics and Hybrid Classification Schemes. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 225-232 - [c4]Oleksandr Davydko, Vladimir Pavlov, Luca Longo:
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method. xAI (1) 2023: 671-687 - 2022
- [c3]Oleksandr Davydko, Olena Horodetska, Ievgen Nastenko, Yaroslav Hladkyi, Vladimir Pavlov, Luca Longo, Mykola Linnik, Oleksandr Galkin:
A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19. CSIT 2022: 551-554 - 2021
- [c2]Oleksandr Davydko, Yaroslav Hladkyi, Mykola Linnik, Olena Nosovets, Vladimir Pavlov, Ievgen Nastenko:
Hybrid Classifiers Based on CNN, LSOF, GMDH in COVID-19 Pneumonic Lesions Types Classification Task. CSIT (1) 2021: 380-384 - [c1]Oleksandr Matviichuk, Olena Nosovets, Mykola Linnik, Oleksandr Davydko, Vladimir Pavlov, Ievgen Nastenko:
Class-Oriented Features Selection Technology in Medical Images Classification Problem on the Example of Distinguishing Between Tuberculosis Sensitive and Resistant Forms. CSIT (1) 2021: 385-389
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