5 citations · 12 across the 8 of their papers we have counts for
8 papers
LBCIM: Loyalty Based Competitive Influence Maximization with epsilon-greedy MCTS strategy
Malihe Alavi, Farnoush Manavi, Amirhossein Ansari +1
Competitive influence maximization has been studied for several years, and various frameworks have been proposed to model different aspects of information diffusion under the compe…
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19
Maryam Dialameh, Ali Hamzeh, Hossein Rahmani +2
The rapid outbreak of COVID-19 threatens humans life all around the world. Due to insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick…
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Maryam Dialameh, Ali Hamzeh, Hossein Rahmani
Regularization plays a vital role in the context of deep learning by preventing deep neural networks from the danger of overfitting. This paper proposes a novel deep learning regul…
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection
Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh +2
Today, many companies take advantage of viral marketing to promote their new products, and since there are several competing companies in many markets, Competitive Influence Maximi…
Knowledge Representation in Learning Classifier Systems: A Review
Farzaneh Shoeleh, Mahshid Majd, Ali Hamzeh +1
Knowledge representation is a key component to the success of all rule based systems including learning classifier systems (LCSs). This component brings insight into how to partiti…
A Martingale Approach to Detect Peak of News in Social Network
Saba Babakhani, Niloofar Mozaffari, Ali Hamzeh
Nowadays, social medias such as Twitter, Memetracker and Blogs have become powerful tools to propagate information. They facilitate quick dissemination sequence of information such…