yn-sun / evocae
The codes for the paper of "A particle swarm optimization-based flexible convolutional auto-encoder for image classification" published by TNNLS
☆10Updated 4 years ago
Alternatives and similar repositories for evocae:
Users that are interested in evocae are comparing it to the libraries listed below
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- Based on our paper "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selectio…☆11Updated 2 years ago
- Using Residual Attention Networks to diagnose retinal diseases in medical images☆16Updated 3 years ago
- Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.☆90Updated 4 years ago
- Genetic Algorithm based optimization for CNN parameters☆10Updated 3 years ago
- Training Neural Network with Particle Swarm Optimization☆13Updated 6 years ago
- PSO On neural Network and LSTM☆19Updated 3 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆28Updated 5 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 6 years ago
- My solution to the International Skin Imaging Collaboration (ISIC) Challenge 2018 to detect skin cancer from images of lesions using Deep…☆12Updated 6 years ago
- This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input.☆16Updated 3 years ago
- Particle Swarm Optimizer For Neural Network Training☆56Updated 6 years ago
- Covid-19 Detection Experiments☆36Updated 3 years ago
- The Choquet Integral Neural Network☆13Updated 5 years ago
- ☆21Updated 3 years ago
- ☆30Updated 4 years ago
- Particle Swarm Optimization (PSO) to optimize Artificial Neural Network (ANN)☆58Updated 10 months ago
- Based on our paper "Pneumonia Detection from Chest X-ray Images using a Novel Weighted Average Ensemble Model" published in Nature- PlosO…☆21Updated 3 years ago
- EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)☆40Updated 3 years ago
- Multi-objective evolutionary algorithms for feature selection☆10Updated 3 years ago
- MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images (ISBI 2021, MELBA 2021)☆32Updated 2 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNN…☆10Updated 2 years ago
- A Numpy Implementation of Extreme Learning Machine (ELM)☆35Updated 5 years ago
- Deep learning CNN model for detecting retina damage from Optical Coherence Tomography (OCT) Images.☆14Updated 4 years ago
- [ICANN 2022 Oral] This repository includes the official project of TFCNs, presented in our paper: TFCNs: A CNN-Transformer Hybrid Networ…☆17Updated 2 years ago
- Image segmentation is the process of dividing an image into multiple parts. It is typically used to identify objects or other relevant in…☆17Updated 5 years ago
- Keras Label Smoothing for Supervised Learning☆11Updated 4 years ago
- Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-S…☆13Updated 4 years ago
- ☆11Updated last year