| Blind gain invariant image watermarking using random projection approach M Sadeghi, R Toosi, MA Akhaee Signal Processing 163, 213-224, 2019 | 28 | 2019 |
| C3: Cross-instance guided contrastive clustering M Sadeghi, H Hojjati, N Armanfard arXiv preprint arXiv:2211.07136, 2022 | 7 | 2022 |
| Multivariate time-series anomaly detection with temporal self-supervision and graphs: Application to vehicle failure prediction H Hojjati, M Sadeghi, N Armanfard Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 6 | 2023 |
| Robust image watermarking using sample area quantization R Toosi, M Sadeghi, MA Akhaee Multimedia Tools and Applications 78 (24), 34963-34980, 2019 | 6 | 2019 |
| Deep Clustering with Self-supervision using Pairwise Data Similarities M Sadeghi, N Armanfard TechRxiv. Preprint. techrxiv.14852652, 2021 | 5 | 2021 |
| Deep multirepresentation learning for data clustering M Sadeghi, N Armanfard IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| IDECF: Improved deep embedding clustering with deep fuzzy supervision M Sadeghi, N Armanfard 2021 IEEE International Conference on Image Processing (ICIP), 1009-1013, 2021 | 4 | 2021 |
| Deep successive subspace learning for data clustering M Sadeghi, N Armanfard 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
| Fast and accurate spectral clustering via augmented Lagrangian R Toosi, M Sadeghi, HB Yazdi, MA Akhaee Journal of Computational Science 64, 101860, 2022 | 3 | 2022 |
| Scoping Review of Deep Learning Techniques for Diagnosis, Drug Discovery, and Vaccine Development in Leishmaniasis A Sadeghi, M Sadeghi, M Fakhar, Z Zakariaei, M Sadeghi Transboundary and Emerging Diseases 2024, 2024 | | 2024 |
Narges Armanfard, PhD, PEngProfessor, McGill University & Mila-Quebec AI InstituteVerified email at mcgill.ca
