activity
20142023
most citedEmotion-Based Crowd Representation for Abnormality Detection

21 citations · 57 across the 8 of their papers we have counts for

collaborators

6 papers

stat.ML20167 cited

RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks

Ali Zarezade, Utkarsh Upadhyay, Hamid Rabiee +1

Users in social networks whose posts stay at the top of their followers'{} feeds the longest time are more likely to be noticed. Can we design an online algorithm to help them deci…

cs.CV201621 cited

Emotion-Based Crowd Representation for Abnormality Detection

Hamidreza Rabiee, Javad Haddadnia, Hossein Mousavi +3

In crowd behavior understanding, a model of crowd behavior need to be trained using the information extracted from video sequences. Since there is no ground-truth available in crow…

cs.NI20142 cited

An Optimal Game Theoretical Framework for Mobility Aware Routing in Mobile Ad hoc Networks

Mehrdad Khaledi, Mojgan Khaledi, Hamidreza Rabiee

Selfish behaviors are common in self-organized Mobile Ad hoc Networks (MANETs) where nodes belong to different authorities. Since cooperation of nodes is essential for routing prot…

cs.SI20146 cited

Diffusion-Aware Sampling and Estimation in Information Diffusion Networks

Motahareh Eslami Mehdiabadi, Hamid R. Rabiee, Mostafa Salehi

Partially-observed data collected by sampling methods is often being studied to obtain the characteristics of information diffusion networks. However, these methods usually do not…

cs.SI20145 cited

Sampling from Diffusion Networks

Motahareh Eslami Mehdiabadi, Hamid R. Rabiee, Mostafa Salehi

The diffusion phenomenon has a remarkable impact on Online Social Networks (OSNs). Gathering diffusion data over these large networks encounters many challenges which can be allevi…

cs.SI201414 cited

A Measurement Framework for Directed Networks

Mostafa Salehi, Hamid R. Rabiee

Partially-observed network data collected by link-tracing based sampling methods is often being studied to obtain the characteristics of a large complex network. However, little at…