ICML 2013. Semi-supervised classifier with squared-loss mutual information regularization

An implementation of a minimum distance to class mean classifier using Euclidian distances

Implementation of Naive Bayesian Classifier in Matlab

Detection of Object-Based Forgery in Advanced Video

Predicts if an online news article will be shared often or not.

⬛ ⬜ Binary Image Classifier using Gaussian Mixture Models written in MatLab (2017)

A matlab experiment manager to select models or classifiers easily.

Convolutional Neural Netowork for Independent Component Classificaiton

A Matlab script that applies the basic sequential clustering to evaluate the number of user groups by using the hierarchical clustering and k-means algorithms. Using the k-means fold the classifiers that are a neural network and the other least squares to evaluate them.

Classification of normal and mental disorder EEG signal based on Machine Learning algorithm.

SJTU EI229: Image Classification based on machine learning; 基于CART和C4.5的图像二分类

MATLAB code to calculate a new version of the Signed Rank Test for comparing two classifiers on multiple datasets, as explained in a paper by Benavoli et al. (2017). The code is adapted from the python library baycomp.

The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell ph…

An ensemble of classifiers to determine the risk of myocardial infarction (MI).

A Ferrero Roche box Convolutional Neural Network classifier (discontinued).

Combine two Classifiers which are trained on different features...

A Classification Method in Machine Learning Based on Soft Decision-Making via Fuzzy Parameterized Fuzzy Soft Matrices

Numerical Data Classification via Distance-Based Similarity Measures of Fuzzy Parameterized Fuzzy Soft Matrices

A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices

Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)