Re-implementation of the SSC-UC method proposed by Schrunner et al. (2020)
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Updated
Jul 28, 2023 - R
Re-implementation of the SSC-UC method proposed by Schrunner et al. (2020)
Python code for detecting and learning new classes of threats present in crops
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
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
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