A data-driven metric learning-based scheme for unsupervised network anomaly detection R Aliakbarisani, A Ghasemi, SF Wu Computers & Electrical Engineering 73, 71-83, 2019 | 30 | 2019 |
Precision as a measure of predictability of missing links in real networks G García-Pérez, R Aliakbarisani, A Ghasemi, MÁ Serrano Physical Review E 101 (5), 052318, 2020 | 21 | 2020 |
Learning a new distance metric to improve an SVM-clustering based intrusion detection system RA Sani, A Ghasemi 2015 The International Symposium on Artificial Intelligence and Signal …, 2015 | 14 | 2015 |
Perturbation of the normalized Laplacian matrix for the prediction of missing links in real networks R Aliakbarisani, A Ghasemi, MÁ Serrano IEEE Transactions on Network Science and Engineering 9 (2), 863-874, 2021 | 7 | 2021 |
Predictability of missing links in complex networks G García-Pérez, R Aliakbarisani, A Ghasemi, M Serrano arXiv preprint arXiv:1902.00035, 2019 | 5 | 2019 |
Feature-enriched network geometry explains graph-structured data R Aliakbarisani, M Serrano, M Boguñá arXiv preprint arXiv:2307.14198, 2023 | | 2023 |