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Keyvan Golestan
Keyvan Golestan
Machine Learning Scientist, Layer 6 AI
在 uwaterloo.ca 的电子邮件经过验证
标题
引用次数
引用次数
年份
Situation awareness within the context of connected cars: A comprehensive review and recent trends
K Golestan, R Soua, F Karray, MS Kamel
Information Fusion 29, 68-83, 2016
1332016
X-pool: Cross-modal language-video attention for text-video retrieval
SK Gorti, N Vouitsis, J Ma, K Golestan, M Volkovs, A Garg, G Yu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1212022
Localization in vehicular ad hoc networks using data fusion and V2V communication
K Golestan, F Sattar, F Karray, M Kamel, S Seifzadeh
Computer Communications 71, 61-72, 2015
692015
Vehicle localization in vanets using data fusion and v2v communication
K Golestan, S Seifzadeh, M Kamel, F Karray, F Sattar
Proceedings of the second ACM international symposium on Design and analysis …, 2012
652012
Vehicular ad-hoc networks (VANETs): capabilities, challenges in information gathering and data fusion
K Golestan, A Jundi, L Nassar, F Sattar, F Karray, M Kamel, S Boumaiza
Autonomous and Intelligent Systems: Third International Conference, AIS 2012 …, 2012
392012
Vehicular ad-hoc Networks (VANETs): capabilities, challenges in context-aware processing and communication gateway
L Nassar, A Jundi, K Golestan, F Sattar, F Karray, M Kamel, S Boumaiza
Autonomous and Intelligent Systems: Third International Conference, AIS 2012 …, 2012
372012
Recent advances on context-awareness and data/information fusion in ITS
F Sattar, F Karray, M Kamel, L Nassar, K Golestan
International Journal of Intelligent Transportation Systems Research 14, 1-19, 2016
312016
Attention assist: A high-level information fusion framework for situation and threat assessment in vehicular ad hoc networks
K Golestan, B Khaleghi, F Karray, MS Kamel
IEEE Transactions on Intelligent Transportation Systems 17 (5), 1271-1285, 2015
262015
A new graph signature calculation method based on power centrality for modular robots
K Golestan, M Asadpour, H Moradi
Distributed Autonomous Robotic Systems: The 10th International Symposium …, 2013
202013
High level information fusion through a fuzzy extension to multi-entity bayesian networks in vehicular ad-hoc networks
K Golestan, F Karray, MS Kamel
Proceedings of the 16th international conference on information fusion, 1180 …, 2013
142013
An integrated approach for fuzzy multi-entity bayesian networks and semantic analysis for soft and hard data fusion
K Golestan, F Karray, MS Kamel
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015
102015
A model for situation and threat/impact assessment in vehicular ad-hoc networks
K Golestan, R Soua, F Karray, MS Kamel
Proceedings of the fourth ACM international symposium on Development and …, 2014
92014
Fuzzy multi entity bayesian networks: A model for imprecise knowledge representation and reasoning in high-level information fusion
K Golestan, F Karray, MS Kamel
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1678-1685, 2014
82014
Information Fusion Methodology for Enhancing Situation Awareness in Connected Cars Environment
K Golestan
University of Waterloo, 2016
42016
Game theoretic fuzzy multi-entity Bayesian networks for collision avoidance in VANETs
K Golestan, R Soua, F Karray, MS Kamel
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 508-515, 2016
32016
Retrieval & Fine-Tuning for In-Context Tabular Models
V Thomas, J Ma, R Hosseinzadeh, K Golestan, G Yu, M Volkovs, ...
arXiv preprint arXiv:2406.05207, 2024
2024
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
W Cui, R Hosseinzadeh, J Ma, T Wu, Y Sui, K Golestan
arXiv preprint arXiv:2404.17489, 2024
2024
Approximating femoral neck bone mineral density from hand, knee, and pelvis X-rays using deep learning
K Golestan, CA Syme, A Bilbily, S Zuberi, M Volkovs, T Poutanen, ...
Journal of Medical Artificial Intelligence 6, 2023
2023
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