Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

Hyperparameter Optimization Using a Genetic Algorithm Considering Verification Time in a Convolutional Neural Network

(2020) Ji-Hoon Han et al.   Journal of Electrical Engineering & Technology

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Weighted Random Search for CNN Hyperparameter Optimization

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

Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques

(2020) Yarens J. Cruz et al.   SENSORS

Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design

(2020) Maryam Parsa et al.   Frontiers in Neuroscience

Cloud-Based Industrial Cyber–Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot Line

(2020) Alberto Villalonga et al.   IEEE Transactions on Industrial Informatics

Fast hyperparameter tuning using Bayesian optimization with directional derivatives

(2020) Tinu Theckel Joy et al.   KNOWLEDGE-BASED SYSTEMS

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

(2020) Yanan Sun et al.   IEEE Transactions on Cybernetics

Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning

(2019) Alejandro Baldominos et al.   COMPLEXITY

Deep learning and transfer learning features for plankton classification

(2019) Alessandra Lumini et al.   Ecological Informatics

A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks

(2019) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

(2019) Patrick Schratz et al.   ECOLOGICAL MODELLING

Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding

(2019) Zhifen Zhang et al.   Journal of Manufacturing Processes

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

Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network

(2019) Rui Miao et al.   COMPUTERS IN INDUSTRY

Ensemble of fine-tuned convolutional neural networks for urine sediment microscopic image classification

(2019) Wenqian Liu et al.   IET Computer Vision

Automated defect classification of SS304 TIG welding process using visible spectrum camera and machine learning

(2019) Daniel Bacioiu et al.   NDT & E INTERNATIONAL

Hyperparameter optimization in CNN for learning-centered emotion recognition for intelligent tutoring systems

(2019) Ramon Zatarain Cabada et al.   SOFT COMPUTING

Beyond majority: Label ranking ensembles based on voting rules

(2019) Havi Werbin-Ofir et al.   EXPERT SYSTEMS WITH APPLICATIONS

Efficient network architecture search via multiobjective particle swarm optimization based on decomposition

(2019) Jing Jiang et al.   NEURAL NETWORKS

Using a classifier ensemble for proactive quality monitoring and control: The impact of the choice of classifiers types, selection criterion, and fusion process

(2018) Philippe Thomas et al.   COMPUTERS IN INDUSTRY

Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments

(2018) Alejandro Baldominos et al.   SENSORS

Strong noise image processing for vision-based seam tracking in robotic gas metal arc welding

(2018) Rongqiang Du et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep features based on a DCNN model for classifying imbalanced weld flaw types

(2018) Wenhui Hou et al.   MEASUREMENT

Ensemble deep learning-based fault diagnosis of rotor bearing systems

(2018) Sai Ma et al.   COMPUTERS IN INDUSTRY

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

(2018) Huaqing Wang et al.   COMPUTERS IN INDUSTRY

Intelligent character recognition using fully convolutional neural networks

(2018) Raymond Ptucha et al.   PATTERN RECOGNITION

A Framework for Designing the Architectures of Deep Convolutional Neural Networks

(2017) et al.   Entropy

Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis

(2017) Gerard Pons et al.   IEEE Transactions on Affective Computing

A Simple Multi-Objective Optimization Based on the Cross-Entropy Method

(2017) Rodolfo E. Haber et al.   IEEE Access

A supervised hierarchical segmentation of remote-sensing images using a committee of multi-scale convolutional neural networks

(2016) Essa Basaeed et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hierarchical committee of deep convolutional neural networks for robust facial expression recognition

(2016) Bo-Kyeong Kim et al.   Journal on Multimodal User Interfaces