activity
20132026
most citedUTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation

12 citations · 41 across the 27 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.LG2019

A Regression Framework for Predicting User's Next Location using Call Detail Records

Mohammad Saleh Mahdizadeh, Behnam Bahrak

With the growth of using cell phones and the increase in diversity of smart mobile devices, a massive volume of data is generated continuously in the process of using these devices…

cs.LG2019★ 2 cited

Real-time Travel Time Estimation Using Matrix Factorization

Ebrahim Badrestani, Behnam Bahrak, Ali Elahi +5

Estimating the travel time of any route is of great importance for trip planners, traffic operators, online taxi dispatching and ride-sharing platforms, and navigation provider sys…

cs.LG2019★ 1 cited

Proposing a Model for Predicting Passenger Origin-Destination in Online Taxi-Hailing Systems

Pouria Golshanrad, Hamid Mahini, Behnam Bahrak

Due to the significance of transportation planning, traffic management, and dispatch optimization, predicting passenger origin-destination has emerged as a crucial requirement for…

cs.SI2019

Quantitative analysis of cryptocurrencies transaction graph

Amir Pasha Motamed, Behnam Bahrak

Cryptocurrencies as a new way of transferring assets and securing financial transactions have gained popularity in recent years. Transactions in cryptocurrencies are publicly avail…

cs.LG2019

Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks

Alireza Nejadettehad, Hamid Mahini, Behnam Bahrak

Short-term traffic flow prediction is one of the crucial issues in intelligent transportation system, which is an important part of smart cities. Accurate predictions can enable bo…