21 citations · 24 across the 7 of their papers we have counts for
7 papers
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
Ayush Roy, Anurag Bhattacharjee, Diego Oliva +3
Pneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution l…
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva +1
Detecting plagiarism involves finding similar items in two different sources. In this article, we propose a novel method for detecting plagiarism that is based on attention mechani…
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin +3
The human mental search (HMS) algorithm is a relatively recent population-based metaheuristic algorithm, which has shown competitive performance in solving complex optimisation pro…
A multilevel thresholding algorithm using Electromagnetism Optimization
Diego Oliva, Erik Cuevas, Gonzalo Pajares +2
Segmentation is one of the most important tasks in image processing. It consist in classify the pixels into two or more groups depending on their intensity levels and a threshold v…
Circle detection using electro-magnetism optimization
Erik Cuevas, Diego Oliva, Daniel Zaldivar +2
This paper describes a circle detection method based on Electromagnetism-Like Optimization (EMO). Circle detection has received considerable attention over the last years thanks to…
Opposition Based ElectromagnetismLike for Global Optimization
Erik Cuevas, Diego Oliva, Daniel Zaldivar +2
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions. EMO employ…