DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets. - Mina Alibeigi; Sattar Hashemi; Ali Hamzeh (Data Knowl. Eng., 2012)

Incremental learning of high-level concepts by imitation. - Mina Alibeigi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (CoRR, 2017)

Inverse Kinematics Based Human Mimicking System using Skeletal Tracking Technology. - Mina Alibeigi; Sadegh Rabiee; Majid Nili Ahmadabadi (J. Intell. Robotic Syst., 2017)

A Fast, Robust, and Incremental Model for Learning High-Level Concepts From Human Motions by Imitation. - Mina Alibeigi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (IEEE Trans. Robotics, 2017)

3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. - Ali Zoljodi; Mohammad Loni; Sadegh Abadijou; Mina Alibeigi; Masoud Daneshtalab (ICANN (1), 2022)

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. - Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (UAI, 2022)

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. - Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (CoRR, 2022)

PR-DARTS: Pruning-Based Differentiable Architecture Search. - Hamid Mousavi; Mohammad Loni; Mina Alibeigi; Masoud Daneshtalab (CoRR, 2022)

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. - Mina Alibeigi; William Ljungbergh; Adam Tonderski; Georg Hess; Adam Lilja; Carl Lindström; Daria Motorniuk; Junsheng Fu; Jenny Widahl; Christoffer Petersson (ICCV, 2023)

L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. - Yasar Abbas Ur Rehman; Yan Gao 016; Pedro Porto Buarque de Gusmão; Mina Alibeigi; Jiajun Shen; Nicholas D. Lane (ICCV, 2023)

FedVal: Different good or different bad in federated learning. - Viktor Valadi; Xinchi Qiu; Pedro Porto Buarque de Gusmão; Nicholas D. Lane; Mina Alibeigi (USENIX Security Symposium, 2023)

Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. - Yadong Mao; Zhuqi Xiao; Che-Tsung Lin; Pedro Porto Buarque de Gusmão; Nicholas D. Lane; Christopher Zach; Mina Alibeigi (VTC2023-Spring, 2023)

DASS: Differentiable Architecture Search for Sparse Neural Networks. - Hamid Mousavi; Mohammad Loni; Mina Alibeigi; Masoud Daneshtalab (ACM Trans. Embed. Comput. Syst., 2023)

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. - Hannes Eriksson; Tommy Tram; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (AAMAS, 2024)

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection. - Sima Sinaei; Mohammadreza Mohammadi; Rakesh Shrestha; Mina Alibeigi; David Eklund (DSD, 2024)

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. - Xinchi Qiu; Yan Gao 016; Lorenzo Sani; Heng Pan; Wanru Zhao; Pedro P. B. de Gusmao; Mina Alibeigi; Alex Iacob; Nicholas D. Lane (CoRR, 2024)

Contrastive Learning for Lane Detection via cross-similarity. - Ali Zoljodi; Sadegh Abadijou; Mina Alibeigi; Masoud Daneshtalab (Pattern Recognit. Lett., 2024)