| Video action recognition for lane-change classification and prediction of surrounding vehicles M Biparva, D Fernández-Llorca, RI Gonzalo, JK Tsotsos IEEE Transactions on Intelligent Vehicles 7 (3), 569-578, 2022 | 51 | 2022 |
| Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation P Mojiri Forooshani, M Biparva, EE Ntiri, J Ramirez, L Boone, MF Holmes, ... Human Brain Mapping 43 (7), 2089-2108, 2022 | 38 | 2022 |
| Two-stream networks for lane-change prediction of surrounding vehicles D Fernández-Llorca, M Biparva, R Izquierdo-Gonzalo, JK Tsotsos 2020 IEEE 23rd international conference on intelligent transportation …, 2020 | 27 | 2020 |
| STNet: Selective Tuning of Convolutional Networks for Object Localization M Biparva, J Tsotsos The IEEE International Conference on Computer Vision Workshops (ICCVW) 2, 2, 2017 | 21 | 2017 |
| ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI L Boone, M Biparva, PM Forooshani, J Ramirez, M Masellis, R Bartha, ... NeuroImage 278, 120289, 2023 | 19 | 2023 |
| Priming Neural Networks A Rosenfeld, M Biparva, JK Tsotsos 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018 | 16 | 2018 |
| EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems M Dehghan, MA Alomrani, S Bagga, D Alfonso-Hermelo, K Bibi, ... arXiv preprint arXiv:2406.10393, 2024 | 6 | 2024 |
| DyG2Vec: Representation learning for dynamic graphs with self-supervision MA Alomrani, M Biparva, Y Zhang, M Coates arXiv preprint arXiv:2210.16906, 2022 | 4 | 2022 |
| DyG2Vec: Efficient Representation Learning for Dynamic Graphs M Alomrani, M Biparva, Y Zhang, M Coates Transactions on Machine Learning Research, 0 | 4 | |
| TodyFormer: Towards holistic dynamic graph transformers with structure-aware tokenization M Biparva, R Karimi, F Faez, Y Zhang arXiv preprint arXiv:2402.05944, 2024 | 2 | 2024 |
| WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization A Saheb Pasand, R Moravej, M Biparva, A Ghodsi arXiv e-prints, arXiv: 2402.09586, 2024 | 2* | 2024 |
| Compact neural representation using attentive network pruning M Biparva, J Tsotsos arXiv preprint arXiv:2005.04559, 2020 | 2 | 2020 |
| Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks M Biparva, J Tsotsos arXiv preprint arXiv:2011.10857, 2020 | 1 | 2020 |
| Selective Segmentation Networks Using Top-Down Attention M Biparva, J Tsotsos arXiv preprint arXiv:2002.01125, 2020 | 1 | 2020 |
| Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers R Karimi, F Faez, Y Zhang, X Li, L Chen, M Yuan, M Biparva arXiv preprint arXiv:2409.10653, 2024 | | 2024 |
| MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization F Faez, R Karimi, Y Zhang, X Li, L Chen, M Yuan, M Biparva arXiv preprint arXiv:2409.06077, 2024 | | 2024 |
| Dynamic graph representation learning with self-supervision MA Alomrani, M Biparva, Y Zhang US Patent App. 18/477,231, 2024 | | 2024 |
| ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning M Naseri, M Biparva arXiv preprint arXiv:2402.06737, 2024 | | 2024 |
| Scalable Graph Self-Supervised Learning A Saheb Pasand, R Moravej, M Biparva, R Karimi, A Ghodsi arXiv e-prints, arXiv: 2402.09603, 2024 | | 2024 |
| Novel Multistage Probabilistic Kernel Modeling in Handwriting Recognition M Biparva Concordia University, 2013 | | 2013 |
John K. TsotsosYork University, CanadaVerified email at yorku.ca