Prati
Mina Alibeigi
Mina Alibeigi
Zenseact AB, Ph.D.
Potvrđena adresa e-pošte na ut.ac.ir
Naslov
Citirano
Citirano
Godina
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
892012
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
502017
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
272023
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
242011
Sentinel: taming uncertainty with ensemble based distributional reinforcement learning
H Eriksson, D Basu, M Alibeigi, C Dimitrakakis
Uncertainty in Artificial Intelligence, 631-640, 2022
222022
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
112017
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
82023
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
72023
PR-DARTS: Pruning-based differentiable architecture search
S Mousavi, M Loni, M Alibeigi, M Daneshtalab
Available at SSRN 4251637, 2022
72022
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
62022
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
52022
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
32023
{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
32023
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
32015
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
22023
System and method for estimating take-over time
M ALIBEIGINABI, M KHORSAND VAKILZADEH
US Patent App. 17/332,143, 2021
12021
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
Reconstruction of image frames
MK Vakilzadeh, M Alibeigi
US Patent App. 18/164,758, 2023
2023
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