| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 4 | Davydko O., Pavlov V., Longo L. | A Combination of Integrated Gradients and SRFAMap for Explaining Neural Networks Trained with High-Order Statistical Radiomic Features | eXplainable Artificial Intelligence, The World Conference (xAI-2025) | 2025 |   
@InProceedings{OleksandrLongo2025, author="Davydko, Oleksandr and Pavlov, Vladimir and Longo, Luca", editor="Guidotti, Riccardo and Schmid, Ute and Longo, Luca", title="A Combination of Integrated Gradients and SRFAMap for Explaining Neural Networks Trained with High-Order Statistical Radiomic Features", booktitle="Explainable Artificial Intelligence", year="2026", publisher="Springer Nature Switzerland", address="Cham", pages="359--379", isbn="978-3-032-08317-3" } [Close]
| Explainable artificial intelligence • Radiomics • Texture analysis • Medical image processing • Saliency map • Integrated Gradients • Neural Networks • Interpretable Machine Learning |
| 3 | Davydko O., Pavlov V., Biecek P., & Longo L. | SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps | eXplainable Artificial Intelligence, The World Conference (xAI-2024) | 2024 | 
@InProceedings{10.1007/978-3-031-63803-9_1, author="Davydko, Oleksandr and Pavlov, Vladimir and Biecek, Przemys{\l}aw and Longo, Luca", editor="Longo, Luca and Lapuschkin, Sebastian and Seifert, Christin", title="SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps", booktitle="Explainable Artificial Intelligence", year="2024", publisher="Springer Nature Switzerland", address="Cham", pages="3--23", isbn="978-3-031-63803-9" } [Close]
| Explainable artificial intelligence •
Radiomics •
Texture analysis •
Medical image processing •
Saliency map •
Deep-learning •
machine learning |
| 2 | Davydko O., Pavlov V., Longo L. | Selecting textural characteristics of chest X-Rays for pneumonia lesions classification with the integrated gradients XAI attribution method | eXplainable Artificial Intelligence, The World Conference (xAI-2023) | 2023 |
@InProceedings{DavydkoLongo2023, author="Davydko, Oleksandr and Pavlov, Vladimir and Longo, Luca", editor="Longo, Luca", title="Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method", booktitle="Explainable Artificial Intelligence", year="2023", publisher="Springer Nature Switzerland", address="Cham", pages="671--687", isbn="978-3-031-44064-9" } [Close]
| Explainable artificial intelligence • Neural networks • Texture analysis • Medical image processing • Classification • Machine Learning |
| 1 | Longo L., O'Reilly R. | Artificial Intelligence and Cognitive Science | 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2022), Revised selected papers. | 2023 |
@proceedings{Longo2022, editor = {Luca Longo and Ruairi O'Reilly}, title = {Artificial Intelligence and Cognitive Science - 30th Irish Conference, {AICS} 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers}, series = {Communications in Computer and Information Science}, volume = {1662}, publisher = {Springer}, year = {2023}, url = {https://doi.org/10.1007/978-3-031-26438-2}, doi = {10.1007/978-3-031-26438-2}, isbn = {978-3-031-26437-5} } [Close]
| information retrieval • computer vision • artificial intelligence • machine learning • agent systems • collaborative networks • neural networks • image processing • patter recognition • neural computing |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |