Protein function prediction using neighbor relativity in protein-protein interaction network. - Sobhan Moosavi; Masoud Rahgozar; Amir Rahimi (Comput. Biol. Chem., 2013)

Discovery of driving patterns by trajectory segmentation. - Sobhan Moosavi; Rajiv Ramnath; Arnab Nandi 001 (SIGSPATIAL PhD Symposium, 2016)

Characterizing Driving Context from Driver Behavior. - Sobhan Moosavi; Behrooz Omidvar-Tehrani; R. Bruce Craig; Arnab Nandi 001; Rajiv Ramnath (SIGSPATIAL/GIS, 2017)

Trajectory Annotation by Discovering Driving Patterns. - Sobhan Moosavi; Behrooz Omidvar-Tehrani; Rajiv Ramnath (UrbanGIS@SIGSPATIAL, 2017)

Annotation of Car Trajectories based on Driving Patterns. - Sobhan Moosavi; Behrooz Omidvar-Tehrani; R. Bruce Craig; Rajiv Ramnath (CoRR, 2017)

Predicting protein-protein interactions based on rotation of proteins in 3D-space. - Samaneh Aghajanbaglo; Sobhan Moosavi; Maseud Rahgozar; Amir Rahimi (CoRR, 2017)

QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. - Jiankai Sun; Sobhan Moosavi; Rajiv Ramnath; Srinivasan Parthasarathy 001 (ICWSM, 2018)

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. - Sobhan Moosavi; Mohammad Hossein Samavatian; Srinivasan Parthasarathy 001; Radu Teodorescu; Rajiv Ramnath (SIGSPATIAL/GIS, 2019)

Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. - Sobhan Moosavi; Mohammad Hossein Samavatian; Arnab Nandi 001; Srinivasan Parthasarathy 001; Rajiv Ramnath (KDD, 2019)

A Countrywide Traffic Accident Dataset. - Sobhan Moosavi; Mohammad Hossein Samavatian; Srinivasan Parthasarathy 001; Rajiv Ramnath (CoRR, 2019)

LocationTrails: a federated approach to learning location embeddings. - Saket Gurukar; Srinivasan Parthasarathy 001; Rajiv Ramnath; Catherine A. Calder; Sobhan Moosavi (ASONAM, 2021)

Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. - Sobhan Moosavi; Pravar D. Mahajan; Srinivasan Parthasarathy 001; Colleen Saunders-Chukwu; Rajiv Ramnath (CoRR, 2021)

Will there be a construction?: predicting road constructions based on heterogeneous spatiotemporal data. - Amin Karimi Monsefi; Sobhan Moosavi; Rajiv Ramnath (SIGSPATIAL/GIS, 2022)

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash. - Amin Karimi Monsefi; Pouya Shiri; Ahmad Mohammadshirazi; Nastaran Karimi Monsefi; Ron Davies; Sobhan Moosavi; Rajiv Ramnath (UrbanAI@SIGSPATIAL, 2023)

Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels. - Sobhan Moosavi; Rajiv Ramnath (CoRR, 2023)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques. - Noushin Behboudi; Sobhan Moosavi; Rajiv Ramnath (CoRR, 2024)

Accident Impact Prediction based on a deep convolutional and recurrent neural network model. - Pouyan Sajadi; Mahya Qorbani; Sobhan Moosavi; Erfan Hassannayebi (CoRR, 2024)