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A comprehensive review of model compression techniques in machine learning

Pierre V. Dantas; Waldir Sabino da Silva; Lucas Carvalho Cordeiro dkk.

Applied Intelligence · 2024 · Inggris · OpenAlex Scopus

Abstract This paper critically examines model compression techniques within the machine learning (ML) domain, emphasizing their role in enhancing model efficiency for deployment in resource-constrained environments, such as mobile devices, edge computing, and Internet of Things (IoT) systems. By…

Confidence interval for micro-averaged F1 and macro-averaged F1 scores

Kanae Takahashi; Kouji Yamamoto; Aya Kuchiba dkk.

Applied Intelligence · 2021 · Inggris · OpenAlex Scopus

Abstract A binary classification problem is common in medical field, and we often use sensitivity, specificity, accuracy, negative and positive predictive values as measures of performance of a binary predictor. In computer science, a classifier is usually evaluated with precision (positive…

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Iván Palomares; Eugenio Martínez‐Cámara; Rosana Montes dkk.

Applied Intelligence · 2021 · Inggris · OpenAlex Scopus

RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia

Charmaine Butt; Jagpal Gill; David Chun dkk.

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

Attention-based VGG-16 model for COVID-19 chest X-ray image classification

Chiranjibi Sitaula; Mohammad Belayet Hossain

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

Youssoufa Mohamadou; Aminou Halidou; Pascalin Tiam Kapen

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

Sakshi Ahuja; Bijaya Ketan Panigrahi; Nilanjan Dey dkk.

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Asmaa Abbas; Mohammed M. Abdelsamea; Mohamed Medhat Gaber

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

Abstract Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks ( CNN s) for image recognition and…

Deep learning based detection and analysis of COVID-19 on chest X-ray images

Rachna Jain; Meenu Gupta; Soham Taneja dkk.

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are also infected because of this disease. The daily life of human beings, their health, and the economy of a country are affected due to this deadly viral disease. Covid-19 is a common spreading disease, and…

COVID-19 open source data sets: a comprehensive survey

Junaid Shuja; Eisa Alanazi; Waleed Alasmary dkk.

Applied Intelligence · 2020 · Inggris · OpenAlex Scopus

In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In early 2020, the COVID-19 virus spread in all continents of the world except Antarctica, causing widespread infections and deaths due to its contagious characteristics and no medically proven treatment. The…