COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer

Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study

(2021) Hana Štorkánová et al.   Scientific Reports

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

(2021) Shuai Wang et al.   EUROPEAN RADIOLOGY

COVIDetection-Net: A tailored COVID-19 detection from chest radiography images using deep learning

(2021) Ahmed S. Elkorany et al.   OPTIK

COVID-19 classification of X-ray images using deep neural networks

(2021) Daphna Keidar et al.   EUROPEAN RADIOLOGY

EA-based hyperparameter optimization of hybrid deep learning models for effective drug-target interactions prediction

(2021) Abla Mahdaddi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization

(2021) Miao Zhang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images

(2021) Ying Song et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

(2020) Chaolin Huang et al.   LANCET

Essentials for Radiologists on COVID-19: An Update—Radiology Scientific Expert Panel

(2020) Jeffrey P. Kanne et al.   RADIOLOGY

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

Metaheuristics to solve grouping problems: A review and a case study

(2020) Octavio Ramos-Figueroa et al.   Swarm and Evolutionary Computation

The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

(2020)   Nature Microbiology

Application of Deep Learning for Fast Detection of COVID-19 in X-Rays using nCOVnet

(2020) Harsh Panwar et al.   CHAOS SOLITONS & FRACTALS

Weighted Random Search for CNN Hyperparameter Optimization

(2020) Razvan Andonie et al.   International Journal of Computers Communications & Control

Using X-ray images and deep learning for automated detection of coronavirus disease

(2020) Khalid El Asnaoui et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

A Deep Convolutional Neural Network Model for Intelligent Discrimination between Coal and Rocks in Coal Mining Face

(2020) Lei Si et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Toward classifying small lung nodules with hyperparameter optimization of convolutional neural networks

(2020) Lucas L. Lima et al.   COMPUTATIONAL INTELLIGENCE

An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

(2020) Abdul Waheed et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated detection of COVID-19 cases using deep neural networks with X-ray images

(2020) Tulin Ozturk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks

(2020) Dilbag Singh et al.   EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES

OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

(2020) Tripti Goel et al.   APPLIED INTELLIGENCE

Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM

(2020) Prashant Kumar et al.   ISA TRANSACTIONS

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

(2020) Shervin Minaee et al.   MEDICAL IMAGE ANALYSIS

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images

(2020) Ruochi Zhang et al.   Interdisciplinary Sciences-Computational Life Sciences

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

(2020) Emtiaz Hussain et al.   CHAOS SOLITONS & FRACTALS

Source characterization of airborne pollutant emissions by hybrid metaheuristic/gradient-based optimization techniques

(2020) Roseane A.S. Albani et al.   ENVIRONMENTAL POLLUTION

InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray

(2020) Anunay Gupta et al.   APPLIED SOFT COMPUTING

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

(2020) Soumya Ranjan Nayak et al.   Biomedical Signal Processing and Control

Lightweight deep learning models for detecting COVID-19 from chest X-ray images

(2020) Stefanos Karakanis et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Combined Metaheuristic Algorithm and Radiomics Strategy for the Analysis of Neuroanatomical Structures in Schizophrenia and Schizoaffective Disorders

(2020) M. Latha et al.   IRBM

PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications

(2019) Bhaskar Navaneeth et al.   COMPUTERS IN BIOLOGY AND MEDICINE

cPSO-CNN: An efficient PSO-based algorithm for fine-tuning hyper-parameters of convolutional neural networks

(2019) Yulong Wang et al.   Swarm and Evolutionary Computation

Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network

(2018) Hoang Nhat-Duc et al.   AUTOMATION IN CONSTRUCTION

A Hyper-parameters Optimization of Deep Convolutional Neural Network Architecture for Vehicle Logo Recognition

(2018) Joon Huang Chuah et al.   IET Intelligent Transport Systems

Optimal hyperparameter tuning of convolutional neural networks based on the parameter-setting-free harmony search algorithm

(2018) Woo-Young Lee et al.   OPTIK

Improved opponent color local binary patterns: an effective local image descriptor for color texture classification

(2017) Francesco Bianconi et al.   JOURNAL OF ELECTRONIC IMAGING

Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images

(2017) Yue Huang et al.   IEEE Journal of Biomedical and Health Informatics

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

(2016) Jun Xu et al.   NEUROCOMPUTING

Taking the Human Out of the Loop: A Review of Bayesian Optimization

(2016) Bobak Shahriari et al.   PROCEEDINGS OF THE IEEE

Identification of tumor epithelium and stroma in tissue microarrays using texture analysis

(2012) Nina Linder et al.   Diagnostic Pathology