フォロー
Sobhan Moosavi
Sobhan Moosavi
Scientist at Zoox
確認したメール アドレス: zoox.com - ホームページ
タイトル
引用先
引用先
Accident risk prediction based on heterogeneous sparse data: New dataset and insights
S Moosavi, MH Samavatian, S Parthasarathy, R Teodorescu, R Ramnath
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
1582019
A countrywide traffic accident dataset
S Moosavi, MH Samavatian, S Parthasarathy, R Ramnath
arXiv preprint arXiv:1906.05409, 2019
962019
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data
S Moosavi, MH Samavatian, A Nandi, S Parthasarathy, R Ramnath
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
562019
Trajectory annotation by discovering driving patterns
S Moosavi, B Omidvar-Tehrani, R Ramnath
Proceedings of the 3rd acm sigspatial workshop on smart cities and urban …, 2017
49*2017
QDEE: question difficulty and expertise estimation in community question answering sites
J Sun, S Moosavi, R Ramnath, S Parthasarathy
Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018
332018
Protein function prediction using neighbor relativity in protein–protein interaction network
S Moosavi, M Rahgozar, A Rahimi
Computational Biology and Chemistry 43, 11-16, 2013
302013
Characterizing driving context from driver behavior
S Moosavi, B Omidvar-Tehrani, RB Craig, A Nandi, R Ramnath
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017
272017
Driving style representation in convolutional recurrent neural network model of driver identification
S Moosavi, PD Mahajan, S Parthasarathy, C Saunders-Chukwu, ...
arXiv preprint arXiv:2102.05843, 2021
202021
Discovery of driving patterns by trajectory segmentation
S Moosavi, R Ramnath, A Nandi
Proceedings of the 3rd ACM SIGSPATIAL PhD Symposium, 1-4, 2016
172016
Context-aware driver risk prediction with telematics data
S Moosavi, R Ramnath
Accident Analysis & Prevention 192, 107269, 2023
52023
Locationtrails: A federated approach to learning location embeddings
S Gurukar, S Parthasarathy, R Ramnath, C Calder, S Moosavi
Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021
52021
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
A Karimi Monsefi, P Shiri, A Mohammadshirazi, N Karimi Monsefi, ...
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in …, 2023
42023
Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
AK Monsefi, S Moosavi, R Ramnath
Proceedings of the 30th International Conference on Advances in Geographic …, 2022
22022
System and method for analyzing vehicle data
RB Craig, SS MoosaviNejadDaryakenari
US Patent 10,740,990, 2020
22020
Telematics and Contextual Data Analysis and Driving Risk Prediction
SS MoosaviNejadDaryakenari
The Ohio State University, 2020
22020
Predicting protein-protein interactions based on rotation of proteins in 3D-space
S Aghajanbaglo, S Moosavi, M Rahgozar, A Rahimi
Second International Workshop on Parallelism in Bioinformatics PBio 2014, 2014
22014
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
N Behboudi, S Moosavi, R Ramnath
arXiv preprint arXiv:2406.13968, 2024
12024
Accident Impact Prediction based on a deep convolutional and recurrent neural network model
P Sajadi, M Qorbani, S Moosavi, E Hassannayebi
arXiv preprint arXiv:2411.07537, 2024
2024
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