Audio Deepfake Detection with GradCam Saliency Map Explainability
This app identifies whether an audio file is synthetic or real and uses GradCAM saliency maps to visualize the key audio features that influenced its classification.
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This app identifies whether an audio file is synthetic or real and uses GradCAM saliency maps to visualize the key audio features that influenced its classification.
It is a service for defect detection and defect localization in hard metal industry
To boost interpretability with concept vectors, a reverse engineering approach automates concept identification by analyzing the latent space of deep neural networks using Singular Value Decomposition. This framework combines factorization, latent space c...
OpenManufacturing ontology extends the OpenML ontology that contains classes for representing different aspects of machine learning. OpenManufacturing extends the base ontology adding two main classes and three taxonomies representing elements relevant to...
EU-funded XMANAI project deals with bringing explainable AI to the Industry, and this asset is an example of the models developed during the project.
This library lists the outcomes of our research on video summarization and explainable AI-based summarization.
This dataset presents an estimation of the emissions by kWh of CO2 equivalent of the generation types of Montenegro, Serbia, Bosnia, Italy Center-South and Kosovo
A workflow for the specific case of process monitoring data which contains cycles repeating over a long time is presented. The method relies on predefined features ideally used as health-indicators which are aggregated over the cycles. Anomaly detection, ...
PDSim is an extension of the Unity game engine, adding support for visualising plans to the Unified Planning framework developed by the AIPlan4EU project. This asset enables the simulation and visualization of generated plans through 2D/3D animations.