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Evolving Deep DenseBlock Architecture Ensembles for Image Classification

https://doi.org/10.3390/electronics9111880

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting

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Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

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A region-based image caption generator with refined descriptions

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Particle swarm optimization of deep neural networks architectures for image classification

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

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Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization

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Efficient Optimization of Convolutional Neural Networks Using Particle Swarm Optimization

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Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters

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Incremental learning of object detectors using a visual shape alphabet

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Deep Residual Learning for Image Recognition

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Densely Connected Convolutional Networks

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Advances in optimizing recurrent networks

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Genetic CNN

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Quantum-Inspired Neural Architecture Search

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A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition

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Optimization for Deep Convolutional Neural Networks: How Slim Can It Go?

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Structure Learning for Deep Neural Networks Based on Multiobjective Optimization

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A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification

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Optimizing deep learning hyper-parameters through an evolutionary algorithm

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Complex Deep Learning and Evolutionary Computing Models in Computer Vision

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Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates

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A Framework for Designing the Architectures of Deep Convolutional Neural Networks

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Bayesian Optimized Deep Convolutional Network for Electrochemical Drilling Process

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Large-Scale Evolution of Image Classifiers

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Wide Residual Networks

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Learning Multiple Layers of Features from Tiny Images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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LDNNET: Towards Robust Classification of Lung Nodule and Cancer Using Lung Dense Neural Network

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Exponential Particle Swarm Optimization for Global Optimization

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Object Recognition Using Enhanced Particle Swarm Optimization

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Novel Class Detection Using Hybrid Ensemble

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Mask R-CNN Transfer Learning Variants for Multi-Organ Medical Image Segmentation

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CHAOS THEORY, ADVANCED METAHEURISTIC ALGORITHMS AND THEIR NEWFANGLED DEEP LEARNING ARCHITECTURE OPTIMIZATION APPLICATIONS: A REVIEW

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Electricity Theft Detection using Fusion DenseNet-RF Model

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Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization

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A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits

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