Publications
2023
- Grammatikaki, Stamatiki, Hector Katifelis, Ammad Ahmad Farooqi, Konstantinos Stravodimos, Michalis V. Karamouzis, Kyriakos Souliotis, Dimitrios Varvaras and Maria Gazouli
An Overview of Epigenetics in Clear Cell Renal Cell Carcinoma
In vivo (Athens, Greece) vol. 37,1 (2023): 1-10. - Kostiukevych, Kostiantyn, Yuri Gordienko, Nikita Gordienko, Oleksandr Rokovyi and Sergii Stirenko
Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface
Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022 - Shlianin, Vladyslav, Yuri Gordienko and Sergii Stirenko
Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks
Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022 - Smulha, Maksym, Yuri Gordienko, and Sergii Stirenko
Deep Learning with Metadata Augmentation for Classification of Diabetic Retinopathy Level
Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. - Shulha, Maksym, Yuri Gordienko, and Sergii Stirenko
Impact of Multimodal Model Complexity on Classification of Diabetic Retinopathy Level
Computational Intelligence, Data Analytics and Applications. ICCIDA 2022. Lecture Notes in Networks and Systems, vol 643. Springer, Cham. - Shlianin, Vladyslav, Yuri Gordienko and Sergii Stirenko
Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks
Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022. Leiden, The Netherlands, November 25-26, 2022. - Silva, Marta Contreiras, Daniel Faria, and Catia Pesquita
Matching Multiple Ontologies to Build a Knowledge Graph for Personalized Medicine
ESWC 2022, May 29 - June 2, Hersonisoss, Greece - Tomko, Maryna, Mykhaylo Pavliuchenko, Ivan Pavliuchenko, Yuri Gordienko, and Sergii Stirenko
Multi-label Classification of Cervix Types with Image Size Optimization for Cervical Cancer Prescreening by Deep Learning
Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol 563. Springer, Singapore. - Wölfein, Georg, In Hwa Um, David Harrison, and Ognjen Arandjelovic
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023, https://wacv2023.thecvf.com/ - Wölflein, Georg, In Hwa Um, David J. Harrison, and Ognjen Arandjelović
Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence
Data. 2023; 8(2):40.
2022
- Bedran, Georges, Tongjie Wang, Dominika Pankanin, et al.
A comprehensive library of canonical and non-canonical MHC class I antigens for cancer vaccine development
Biorxiv - Contreiras Silva, Marta, Patrícia Eugénio, Daniel Faria, and Catia Pesquita
Ontologies and Knowledge Graphs in Oncology Research
Cancers - Contreiras Silva, Marta, Daniel Faria and Catia Pesquita
Matching Multiple Ontologies to Build a Knowledge Graph for Personalized Medicine
ESWC 2022, May 29 - June 2, Hersonisson (GR) - Contreiras Silva, Marta, Daniel Faria and Catia Pesquita
Extending AgreementMakerLight to Perform Holistic Ontology Matching
ESWC 2022, May 29 - June 2, Hersonisson (GR) - Gordienko, Nikita, Oleksandr Rokovyi, Yuri Gordienko, and Sergii Stirenko
Hybrid Convolutional, Recurrent and Attention-based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography
Multimodality in Advanced Interaction Environments. HCII 2022. Lecture Notes in Computer Science, vol 13519. Springer, Cham. - Kostiukevych, Kostiantyn, Yuri Gordienko, Nikita Gordienko, Oleksandr Rokovyi, and Sergii Stirenko
Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface
Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022. Leiden, The Netherlands, November 25-26, 2022. - Oholtsov, Illia, Yuri Gordienko, and Sergii Stirenko
Effect of Small Dataset Quality on Deep Neural Network Performance for Lyme Disease Classification
In: Ranganathan, G., Fernando, X., Piramuthu, S. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore. - Shlianin, Vladyslav, Yuri Gordienko, and Sergii Stirenko
Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks
Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022. Leiden, The Netherlands, November 25-26, 2022. - Statkevych, Roman, Yuri Gordienko, Sergii Stirenko
Improving U-Net Kidney Glomerulus Segmentation with Fine-Tuning, Dataset Randomization and Augmentations
In: Hu, Z., Dychka, I., Petoukhov, S., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 134. Springer, Cham. - Yakimenko, Yurii, Sergii Stirenko, Dimitri Koroliouk, Yuri Gordienko, and Fabio Massimo Zanzotto
Implementation of Personalized Medicine by Artificial Intelligence Platform
In: Ranganathan, G., Fernando, X., Piramuthu, S. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore.
2021
- Guerreiro, Ana, Catia Pesquita, and Daniel Faria
VOWLMap: Graph-based Ontology Alignment Visualization and Editing
CEUR Workshop Proceedings - Lima, Beatriz, Daniel Faria, and Catia Pesquita
Pattern-Guided Association Rule Mining for Complex Ontology Alignment
CEUR Workshop Proceedings