| Automated detection of autism spectrum disorder using a convolutional neural network Z Sherkatghanad, M Akhondzadeh, S Salari, M Zomorodi-Moghadam, ... Frontiers in neuroscience 13, 1325, 2020 | 256 | 2020 |
| Probing graph representations MS Akhondzadeh, V Lingam, A Bojchevski International Conference on Artificial Intelligence and Statistics, 11630-11649, 2023 | 13 | 2023 |
| Wide-adgraph: Detecting ad trackers with a wide dependency chain graph AH Kargaran, MS Akhondzadeh, MR Heidarpour, MH Manshaei, ... Proceedings of the 13th ACM Web Science Conference 2021, 253-261, 2021 | 8* | 2021 |
| Rethinking Label Poisoning for GNNs: Pitfalls and Attacks V Lingam, MS Akhondzadeh, A Bojchevski The Twelfth International Conference on Learning Representations, 2023 | 6* | 2023 |
| Robust Yet Efficient Conformal Prediction Sets SH Zargarbashi, MS Akhondzadeh, A Bojchevski Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain MA Samadi, MS Akhondzadeh, SJ Zahabi, MH Manshaei, Z Maleki, ... arXiv preprint arXiv:2005.05114, 2020 | 1 | 2020 |
| Learning Cancer Progression Network from Mutation Allele Frequencies MS Akhondzadeh, A Omidi, Z Maleki, K Coombes, AE Toland, A Asiaee ICML workshop on Computational Biology, 2020, 2020 | | 2020 |
Aleksandar BojchevskiUniversity of CologneVerified email at uni-koeln.de