Classifying malignant and benign tumors using Neural Networks 🔬

Matlab code for Time Series Domain Adaptation Problems

Artificial Intelligence assignments, for the course Artificial Intelligence : Knowledge Representation

A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification

Classification of cervical cancer using SVM is done on Herlev Pap Smear

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

This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

MATLAB implementation of a decision tree based on ID3 capable of binary classification and handling of continuous features

ML Mini-Projects, in the context of Andrew's Ng coursera course. Implemented in Octave.

Function Approximation and Classification implementations using Neural Network Toolbox in MATLAB. Function Approximation was done on California Housing data-set and Classification was done on SPAM email classification data-set.

Safety regions research is a well-known task for ML and the main focus is to avoid false positives, i.e., including in the safe region unsafe points. In this repository, two methods for the research of zero FPR regions are proposed: the first one is based simply on the reduction of the SVDD radius until only safe points are enclosed in the SVDD …

Fisher Linear Discriminant Analysis (FLD) Application

Tensor Singular Spectral Analysis for 3D feature extraction in hyperspectral images, TGRS, 2023

classify emotion from speech signal

This repo is created to work on ML and 5G PoC

Matlab based Ph.D. project T-DTS, developed during for the thesis 2006-2009. It's the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani

Principal Component Classification https://arxiv.org/abs/2210.12746

Page Blocks Classification

Stanford's Machine Learning MOOC from Coursera

This is a small class project to visualize how K means clustering and spectral clustering are different.