Search Results - "Bigdeli, Elnaz"

Incremental anomaly detection using two-layer cluster-based structure by Bigdeli, Elnaz, Mohammadi, Mahdi, Raahemi, Bijan, Matwin, Stan

“…Anomaly detection algorithms face several challenges, including processing speed, adapting to changes in dynamic environments, and dealing with noise in data…”
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A fast and noise resilient cluster-based anomaly detection by Bigdeli, Elnaz, Mohammadi, Mahdi, Raahemi, Bijan, Matwin, Stan

“…Clustering, while systematically applied in anomaly detection, has a direct impact on the accuracy of the detection methods. Existing cluster-based anomaly…”
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An enhanced noise resilient K-associated graph classifier by Mohammadi, Mahdi, Raahemi, Bijan, Mehraban, Saeed Adel, Bigdeli, Elnaz, Akbari, Ahmad

“…•We propose a non-parametric, noise resilient, graph-based classification algorithm.•We employ relational data such as the degree of relevancy.•We combine…”
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A Scalable Algorithm to Solve Distributed Constraint Optimization by Maryam Rahmaninia, Elnaz Bigdeli, Mohsen Afsharchi

“…Recently, Distributed Constraint Optimization Problems (DCOP) have been drawing a growing body of attention as an important research area in multi agent…”
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A fast noise resilient anomaly detection using GMM-based collective labelling by Bigdeli, Elnaz, Raahemi, Bijan, Mohammadi, Mahdi, Matwin, Stan

“…Anomaly detection algorithms face several challenges including computational complexity and resiliency to noise in input data. In this paper, we propose a fast…”
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Comparing accuracy of cosine-based similarity and correlation-based similarity algorithms in tourism recommender systems by Bigdeli, E., Bahmani, Z.

“…Recommender system has a long history as a successful application in artificial intelligence. A growth in the number of products, which has been offered by…”
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PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy by Bigdeli, E, Rahmaninia, M, Afsharchi, M

“…A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination. Many challenges in multi-agent…”
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