Re-implementation of the SSC-UC method proposed by Schrunner et al. (2020)
-
Updated
Jul 28, 2023 - R
Re-implementation of the SSC-UC method proposed by Schrunner et al. (2020)
Applied a probabilistic machine learning approach to melt curve-based DNA profiling to enable novel genotype detection
An individual project on smartphone authentication using machine learning. Features such as users' tap pressure, x & y coordinates, and keystrokes were obtained to train a novelty detection algorithm
Outlier Detection Using Cluster Analysis
Python package providing an anomaly (outlier and novelty) detector based on the empirical Christoffel function.
Ensemble to assign a score to classify a sound(voice) compared to Joe Rogans voice
K-Means image segmentation (feature extraction) that just works. Lightweight and low footprint C++ implementation.
Experimentation with novelty detection
Novelty seeking: Explore wether you are a novelty seeker or not
Application for analyzation of data with method Novelty detection
Python code for detecting and learning new classes of threats present in crops
Representative code for my Master's Thesis: "Automatic Detection of Foreign Objects in X-Ray Images" (2021).
An NLP pipeline that detects new textual information about UFOs/UAPs
Detection of malware bot and botnet activities over DNS / Master's Thesis
Improvements over autoencoders in PyTorch
Insight Data Science DS.2019C.TO project
Official PyTorch implementation for "SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection"
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments
Add a description, image, and links to the novelty-detection topic page so that developers can more easily learn about it.
To associate your repository with the novelty-detection topic, visit your repo's landing page and select "manage topics."