| DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets M Alibeigi, S Hashemi, A Hamzeh Data & Knowledge Engineering 81, 67-103, 2012 | 91 | 2012 |
| Inverse Kinematics Based Human Mimicking System using Skeletal Tracking Technology M Alibeigi, S Rabiee, MN Ahmadabadi Journal of Intelligent & Robotic Systems 85 (1), 27-45, 2017 | 58 | 2017 |
| Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving M Alibeigi, W Ljungbergh, A Tonderski, G Hess, A Lilja, C Lindström, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 55 | 2023 |
| Unsupervised feature selection based on the distribution of features attributed to imbalanced data sets M Alibeigi, S Hashemi, A Hamzeh International Journal of Artificial Intelligence and Expert Systems 2 (1), 14-22, 2011 | 26 | 2011 |
| Sentinel: taming uncertainty with ensemble based distributional reinforcement learning H Eriksson, D Basu, M Alibeigi, C Dimitrakakis Uncertainty in Artificial Intelligence, 631-640, 2022 | 23 | 2022 |
| L-dawa: Layer-wise divergence aware weight aggregation in federated self-supervised visual representation learning YAU Rehman, Y Gao, PPB De Gusmão, M Alibeigi, J Shen, ND Lane Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 15 | 2023 |
| A Fast, Robust, and Incremental Model for Learning High-Level Concepts From Human Motions by Imitation M Alibeigi, MN Ahmadabadi, BN Araabi IEEE Transactions on Robotics 33 (1), 153 - 168, 2017 | 12 | 2017 |
| PR-DARTS: Pruning-based differentiable architecture search H Mousavi, M Loni, M Alibeigi, M Daneshtalab arXiv preprint arXiv:2207.06968, 2022 | 9 | 2022 |
| DASS: differentiable architecture search for sparse neural networks H Mousavi, M Loni, M Alibeigi, M Daneshtalab ACM Transactions on Embedded Computing Systems 22 (5s), 1-21, 2023 | 8 | 2023 |
| 3dlanenas: Neural architecture search for accurate and light-weight 3d lane detection A Zoljodi, M Loni, S Abadijou, M Alibeigi, M Daneshtalab International Conference on Artificial Neural Networks, 404-415, 2022 | 7 | 2022 |
| Risk-sensitive bayesian games for multi-agent reinforcement learning under policy uncertainty H Eriksson, D Basu, M Alibeigi, C Dimitrakakis arXiv preprint arXiv:2203.10045, 2022 | 7 | 2022 |
| {FedVal}: Different good or different bad in federated learning V Valadi, X Qiu, PPB De Gusmão, ND Lane, M Alibeigi 32nd USENIX Security Symposium (USENIX Security 23), 6365-6380, 2023 | 6 | 2023 |
| Reinforcement learning in the wild with maximum likelihood-based model transfer H Eriksson, D Basu, T Tram, M Alibeigi, C Dimitrakakis arXiv preprint arXiv:2302.09273, 2023 | 3 | 2023 |
| A Robust Statistical Color Edge Detection for Noisy Images M Alibeigi, N Mozafari, Z Azimifar, M Mahmoodian JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST) 3 (2), 85-94, 2015 | 3 | 2015 |
| Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps Y Mao, Z Xiao, CT Lin, PPB de Gusmão, ND Lane, C Zach, M Alibeigi 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-7, 2023 | 2 | 2023 |
| Contrastive Learning for Lane Detection via cross-similarity A Zoljodi, S Abadijou, M Alibeigi, M Daneshtalab Pattern Recognition Letters 185, 175-183, 2024 | 1 | 2024 |
| System and method for estimating take-over time M ALIBEIGINABI, M KHORSAND VAKILZADEH US Patent App. 17/332,143, 2021 | 1 | 2021 |
| FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients X Qiu, Y Gao, L Sani, H Pan, W Zhao, PPB Gusmao, M Alibeigi, A Iacob, ... arXiv preprint arXiv:2402.10191, 2024 | | 2024 |
| Identifying locations crucial to an ads-equipped vehicle M Gyllenhammar, MK Vakilzadeh, M Alibeigi US Patent App. 18/344,428, 2024 | | 2024 |
| Training of a perception model on edge of a vehicle M Alibeigi, B Nilsson US Patent App. 18/161,417, 2023 | | 2023 |
