activity
20132024
most citedRA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

113 citations · 205 across the 30 of their papers we have counts for

collaborators

57 papers

cs.LG2024★ 1 cited

CRISPR: Ensemble Model

Mohammad Rostami, Amin Ghariyazi, Hamed Dashti +2

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) is a gene editing technology that has revolutionized the fields of biology and medicine. However, one of the chal…

cs.LG2023

Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data

S. M. F. Sani, Seyed Abbas Hosseini, Hamid R. Rabiee

Often, recommendation systems employ continuous training, leading to a self-feedback loop bias in which the system becomes biased toward its previous recommendations. Recent studie…

cs.SI2023★ 5 cited

DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property

Maryam Ramezani, Aryan Ahadinia, Erfan Farhadi +1

The fast growth of social networks and their data access limitations in recent years has led to increasing difficulty in obtaining the complete topology of these networks. However,…

cs.IR2023

ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning

Mohammmadmahdi Maheri, Reza Abdollahzadeh, Bardia Mohammadi +3

In practical scenarios, the effectiveness of sequential recommendation systems is hindered by the user cold-start problem, which arises due to limited interactions for accurately d…

cs.CV2023★ 1 cited

Enhancing the Prediction of Emotional Experience in Movies using Deep Neural Networks: The Significance of Audio and Language

Sogand Mehrpour Mohammadi, Meysam Gouran Orimi, Hamidreza Rabiee

Our paper focuses on making use of deep neural network models to accurately predict the range of human emotions experienced during watching movies. In this certain setup, there exi…

cs.SI2023

Network-based Control of Epidemic via Flattening the Infection Curve: High-Clustered vs. Low-Clustered Social Networks

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Recent studies in network science and control have shown a meaningful relationship between the epidemic processes (e.g., COVID-19 spread) and some network properties. This paper st…