13 citations · 13 across the 3 of their papers we have counts for
6 papers
GraPLUS: Graph-based Placement Using Semantics for Image Composition
Mir Mohammad Khaleghi, Mehran Safayani, Abdolreza Mirzaei
We present GraPLUS (Graph-based Placement Using Semantics), a novel framework for plausible object placement in images that leverages scene graphs and large language models. Our ap…
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
Mohammad Izadi, Mehran Safayani, Abdolreza Mirzaei
Efficient real-time traffic prediction is crucial for reducing transportation time. To predict traffic conditions, we employ a spatio-temporal graph neural network (ST-GNN) to mode…
Clustering based on Mixtures of Sparse Gaussian Processes
Zahra Moslehi, Abdolreza Mirzaei, Mehran Safayani
Creating low dimensional representations of a high dimensional data set is an important component in many machine learning applications. How to cluster data using their low dimensi…
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
Seyed Vahid Moravvej, Abdolreza Mirzaei, Mehran Safayani
Text summarization in medicine can help doctors for reducing the time to access important information from countless documents. The paper offers a supervised extractive summarizati…
Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach
Elaheh Rashedi, Abdolreza Mirzaei
Recent studies show that ensemble methods enhance the stability and robustness of unsupervised learning. These approaches are successfully utilized to construct multiple clustering…
A Novel Multi-clustering Method for Hierarchical Clusterings, Based on Boosting
Elaheh Rashedi, Abdolreza Mirzaei
Bagging and boosting are proved to be the best methods of building multiple classifiers in classification combination problems. In the area of "flat clustering" problems, it is als…