3 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification
Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
Structural Health Monitoring (SHM) provides an economic approach which aims to enhance understanding the behavior of structures by continuously collects data through multiple netwo…
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
Ali Anaissi, Basem Suleiman
Federated Learning (FL) has recently emerged as a promising method that employs a distributed learning model structure to overcome data privacy and transmission issues paused by ce…
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent
Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
Multi-way data analysis has become an essential tool for capturing underlying structures in higher-order datasets stored in tensor $\mathcal{X} \in \mathbb{R} ^{I_1 \times \dots \t…
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance
Ali Anaissi, Seid Miad Zandavi
Multi-way data analysis has become an essential tool for capturing underlying structures in higher-order data sets where standard two-way analysis techniques often fail to discover…
Online Tensor-Based Learning for Multi-Way Data
Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
The online analysis of multi-way data stored in a tensor has become an essential tool for capturing the underlying stru…