activity
20182020
most citedTeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora

3 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.SI20203 cited

TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora

Vahid Masoumi, Mostafa Salehi, Hadi Veisi +3

Crowdsourcing has been widely used recently as an alternative to traditional annotations that is costly and usually done by experts. However, crowdsourcing tasks are not interestin…

cs.SI20202 cited

Convolutional Neural Networks for Sentiment Analysis in Persian Social Media

Morteza Rohanian, Mostafa Salehi, Ali Darzi +1

With the social media engagement on the rise, the resulting data can be used as a rich resource for analyzing and understanding different phenomena around us. A sentiment analysis…

cs.SI2020

Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks

Alireza Eshaghpour, Mostafa Salehi, Vahid Ranjbar

In recent years, with the growing number of online social networks, these networks have become one of the best markets for advertising and commerce, so studying these networks is v…

cs.SI2019

Link Prediction in Multiplex Networks based on Interlayer Similarity

Shaghayegh Najari, Mostafa Salehi, Vahid Ranjbar +1

Some networked systems can be better modelled by multilayer structure where the individual nodes develop relationships in multiple layers. Multilayer networks with similar nodes ac…

cs.NI2019

HRSON: Home-based Routing for Smartphones in Opportunistic Networks

Hooman Abasi, Mostafa Salehi, Vahid Ranjbar

Opportunistic networks are delay-tolerant networks which enable network connectivity while there is limited access to network infrastructure, such as natural disaster happenings. S…

cs.SI2018

QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks

Vahid Ranjbar, Mostafa Salehi, Pegah Jandaghi +1

Complex networks have now become integral parts of modern information infrastructures. This paper proposes a user-centric method for detecting anomalies in heterogeneous informatio…