Sobhan Moosavi

Orcid: 0000-0002-2368-4498

According to our database1, Sobhan Moosavi authored at least 16 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques.
CoRR, 2024

2023
Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels.
CoRR, 2023

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 2023

2022
Will there be a construction?: predicting road constructions based on heterogeneous spatiotemporal data.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification.
CoRR, 2021

LocationTrails: a federated approach to learning location embeddings.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2019
A Countrywide Traffic Accident Dataset.
CoRR, 2019

Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017
Predicting protein-protein interactions based on rotation of proteins in 3D-space.
CoRR, 2017

Annotation of Car Trajectories based on Driving Patterns.
CoRR, 2017

Trajectory Annotation by Discovering Driving Patterns.
Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2017

Characterizing Driving Context from Driver Behavior.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016
Discovery of driving patterns by trajectory segmentation.
Proceedings of the 3rd ACM SIGSPATIAL PhD Symposium, 2016

2013
Protein function prediction using neighbor relativity in protein-protein interaction network.
Comput. Biol. Chem., 2013


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