activity
20202022
collaborators

6 papers

cs.CV2022

Energy-Aware JPEG Image Compression: A Multi-Objective Approach

Seyed Jalaleddin Mousavirad, Luís A. Alexandre

Customer satisfaction is crucially affected by energy consumption in mobile devices. One of the most energy-consuming parts of an application is images. While different images with…

cs.LG2021

An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes

Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam +1

Plagiarism is one of the leading problems in academic and industrial environments, which its goal is to find the similar items in a typical document or source code. This paper prop…

cs.NE2021

An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin +3

Differential evolution (DE) is an effective population-based metaheuristic algorithm for solving complex optimisation problems. However, the performance of DE is sensitive to the m…

cs.NE2021

Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning

Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa +1

Training multi-layer neural networks (MLNNs), a challenging task, involves finding appropriate weights and biases. MLNN training is important since the performance of MLNNs is main…

cs.LG2020

Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss

Davood Zabihzadeh, Amar Tuama, Ali Karami-Mollaee

An important challenge in metric learning is scalability to both size and dimension of input data. Online metric learning algorithms are proposed to address this challenge. Existin…

cs.NE2020

Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm

Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad

Many real-world problems are categorized as large-scale problems, and metaheuristic algorithms as an alternative method to solve large-scale problem; they need the evaluation of ma…