| 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 | 172 | 2019 |
| A countrywide traffic accident dataset S Moosavi, MH Samavatian, S Parthasarathy, R Ramnath arXiv preprint arXiv:1906.05409, 2019 | 112 | 2019 |
| 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 | 60 | 2019 |
| 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 | 53* | 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 | 33 | 2018 |
| 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 | 31 | 2013 |
| 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 | 29 | 2017 |
| 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 | 20 | 2021 |
| Discovery of driving patterns by trajectory segmentation S Moosavi, R Ramnath, A Nandi Proceedings of the 3rd ACM SIGSPATIAL PhD Symposium, 1-4, 2016 | 18 | 2016 |
| Context-aware driver risk prediction with telematics data S Moosavi, R Ramnath Accident Analysis & Prevention 192, 107269, 2023 | 9 | 2023 |
| 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 | 6 | 2021 |
| 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 | 5 | 2024 |
| 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 | 5 | 2023 |
| 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 | 2 | 2024 |
| 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 | 2 | 2022 |
| System and method for analyzing vehicle data RB Craig, SS MoosaviNejadDaryakenari US Patent 10,740,990, 2020 | 2 | 2020 |
| Telematics and Contextual Data Analysis and Driving Risk Prediction SS MoosaviNejadDaryakenari The Ohio State University, 2020 | 2 | 2020 |
| 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 | 2 | 2014 |
Rajiv RamnathOhio State UniversityZweryfikowany adres z osu.edu