1. Gene selection and classification of pancreatic Microarray datasets, Signal processing and
communications applications conference. 2017, 25th Signal Processing and Communications
Applications Conference (SIU)
https://ieeexplore.ieee.org/abstract/document/7960251
2. Investigating the effect of different feature selection strategies for the classification of gene
expression signatures of tumour cells. 2017, International Symposium on Health Informatics and
Bioinformatics, (HIBIT),
http://hibit2017.ii.metu.edu.tr/posters/
3. Sserwadda, A., Ozcan, A. and Yaslan, Y. (2022). Hierarchical and Centrality driven Polypharmacy
Side Effect Prediction Model, 2022 7th
International Conference on Computer Science and Engineering (UBMK),
IEEE, pp.384–387.
https://ieeexplore.ieee.org/document/9919451
Journal papers (Peer reviewed)
4. Topology-Guided Cyclic Brain Connectivity Generation using Geometric Deep Learning, Nov 2020,
Journal of Neuroscience Methods
https://www.sciencedirect.com/science/article/pii/S0165027020304118?via%3Dihub
5. Sserwadda, A., Ozcan, A. and Yaslan, Y. (2023). Topological Similarity and
Centrality Driven Hybrid Deep Learning for Temporal Link Prediction,
JUCS – Journal of Universal Computer Science, 29(5), 470–490.
https://lib.jucs.org/article/99169/
6. Sserwadda, A., Ozcan, A. and Yaslan, Y. (2023). Structural and topological
guided GCN for link prediction in temporal networks, Journal of Ambient
Intelligence and Humanized Computing, 1–9.
https://link.springer.com/article/10.1007/s12652-023-04639-0
