Keywords: data mining, network science,
community detection, portfolio optimization, algorithms
Gera, I., & London, A. (2024). Recovering Nested Structures in Networks: An Evaluation of Hierarchical Clustering Techniques. Journal of Complex Networks
DOI: 10.1093/comnet/cnae039 Gera, I., & London, A. (2023). Detecting and generating overlapping nested communities. Applied Network Science, 8
(51).
DOI: 10.1007/s41109-023-00575-2 Gera, I., London, A., & Pluhár, A. (2022). Greedy algorithm for edge-based nested community detection. 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS), 86-91.
DOI: 10.1109/CITDS54976.2022.9914051 Gera, I., & London, A. (2022). Hierarchikus klaszterezés és a portfólió-kiválasztás probléma. SZIGMA Matematikai-közgazdasági folyóirat, 53
(1) 73--88.
Gera, I., & London, A. (2020). Gráf alapú dimenzióredukciós heurisztikák részvénypiaci korrelációs mátrixokra. Alkalmazott Matematikai Lapok, 37
(2) 211-224.
DOI: 10.37070/AML.2020.37.2.01 Gera, I., & London, A. (2019). Portfolio selection based on a configuration model and hierarchical clustering for asset graphs. Proceedings of the 22nd International Multiconference / INFORMATION SOCIETY - IS 2019, 39-42.