55 citations · 114 across the 9 of their papers we have counts for
13 papers
Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath
Road construction projects maintain transportation infrastructures. These projects range from the short-term (e.g., resurfacing or fixing potholes) to the long-term (e.g., adding a…
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy +2
Identifying driving styles is the task of analyzing the behavior of drivers in order to capture variations that will serve to discriminate different drivers from each other. This t…
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization
Manirupa Das, Juanxi Li, Eric Fosler-Lussier +5
Novel contexts may often arise in complex querying scenarios such as in evidence-based medicine (EBM) involving biomedical literature, that may not explicitly refer to entities or…
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Businesses communicate using Twitter for a variety of reasons -- to raise awareness of their brands, to market new products, to respond to community comments, and to connect with t…
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation
Manirupa Das, Zhen Wang, Evan Jaffe +3
Online customer reviews on large-scale e-commerce websites, represent a rich and varied source of opinion data, often providing subjective qualitative assessments of product usage…
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy +2
Reducing traffic accidents is an important public safety challenge, therefore, accident analysis and prediction has been a topic of much research over the past few decades. Using s…