| 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 | 79 | 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 | 39 | 2017 |
| 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 | 23 | 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 | 15 | 2022 |
| 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 | 11 | 2017 |
| 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 | 4 | 2015 |
| PR-DARTS: Pruning-Based Differentiable Architecture Search H Mousavi, M Loni, M Alibeigi, M Daneshtalab arXiv preprint arXiv:2207.06968, 2022 | 2 | 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 | 2 | 2022 |
| 3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection A Zoljodi, M Loni, S Abadijou, M Alibeigi, M Daneshtalab Artificial Neural Networks and Machine Learning–ICANN 2022: 31st …, 2022 | 1 | 2022 |
| Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving M Alibeigi, W Ljungbergh, A Tonderski, G Hess, A Lilja, C Lindstrom, ... arXiv preprint arXiv:2305.02008, 2023 | | 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 | | 2023 |
| Vehicle software shadow mode testing M Gyllenhammar, C ZANDÉN, MK VAKILZADEH, M Alibeigi EP Patent App. 4080370A1, 2022 | | 2022 |
| Detecting and collecting accident related driving experience event data M ALIBEIGI, MK VAKILZADEH US Patent App. 20220284744A1, 2022 | | 2022 |
| System and method for estimating take-over time M ALIBEIGINABI, M KHORSAND VAKILZADEH US Patent App. 17/332,143, 2021 | | 2021 |
| Automated Map Making and Positioning T BAGHERI, M ALIBEIGI NABI US Patent 17/609,033, 2020 | | 2020 |
| Incremental learning of high-level concepts by imitation M Alibeigi, MN Ahmadabadi, BN Araabi arXiv preprint arXiv:1704.04408, 2017 | | 2017 |
| Unsupervised Fuzzy Rough set Feature Selection using Cluster Ensembles M Alibeigi, N Mozafari, R Boostani, MA Nikouei Mahani 14th Iranian Conference on Fuzzy Systems, 1-9, 2014 | | 2014 |
| Adaptive Color Edge Detector for Noisy Images M Alibeigi, N Mozafari, Z Azimifar, FJ Tehrani 18th Iranian Conference on Electrical Engineering (In persian), 2080-2085, 2010 | | 2010 |
| Toward Robust Privacy Preserving Clustering: A Weighted Ensemble Approach N Mozafari, M Alibeigi, S Hashemi, A Hamzeh 3rd Iran Data Mining Conference (In persian), 2009 | | 2009 |
| SENTINEL: Taming Uncertainty with Ensemble based Distributional Reinforcement Learning (Supplementary material) H Eriksson, D Basu, M Alibeigi, C Dimitrakakis | | |
