Graph representation learning based on deep generative gaussian mixture models G Niknam, S Molaei, H Zare, D Clifton, S Pan Neurocomputing 523, 157-169, 2023 | 10 | 2023 |
DyVGRNN: DYnamic mixture variational graph recurrent neural networks G Niknam, S Molaei, H Zare, S Pan, M Jalili, T Zhu, D Clifton Neural Networks 165, 596-610, 2023 | 6 | 2023 |
Investigating the effect of ionizing radiation on hematological parameters of catheterization laboratory technicians: A multilayer perceptron modeling A Izadi-Moud, A Izanloo, A Vojdanparast, G Shirvan, A Eshraghi Ann Med Health Sci Res 9, 684-687, 2019 | 5 | 2019 |
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks S Molaei, A Thakur, G Niknam, A Soltan, H Zare, DA Clifton International Conference on Artificial Intelligence and Statistics, 1342-1350, 2024 | 1 | 2024 |
Temporal dynamics unleashed: Elevating variational graph attention S Molaei, G Niknam, GO Ghosheh, VK Chauhan, H Zare, T Zhu, S Pan, ... Knowledge-Based Systems 299, 112110, 2024 | | 2024 |
Machine learning application in cancer research: Mini Review G Niknam Cancer Press Journal 5 (1, 2, 3, 4), 2019 | | 2019 |
Personalized Cancer Driver Gene Identification, A Network Based Approach G Niknam, S Goliaei, Z Razaghi-Moghadam | | |