Extracting features from URLs to build a data set for machine learning. The purpose is to find a machine learning model to predict phishing URLs, which are targeted to the Brazilian population.

ExeShield AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.

🌸 Breast epithelium segmentation through IHC-guided supervision

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

Using Mammography and Histopathology (ResNet for classification and UNet for detection)

Classification of Benign and Malignant Breast Cancer using Supervised Machine Learning Algorithm Logistic Regression

Implementation of a Federated Learning Framework for Portable Executable (PE) Malware Classification.

Crawler for downloading benign files from FileHippo and other sources

Setup IPFS and Host Simple Benign HTML and Executable