The Aristotle University of Thessaloniki (hereinafter, AUTH) created the following dataset, entitled ‘Blaze’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; start date: ...
North and Central Mali entail the country’s highest prevalence of vulnerable communes siting at the intersection of chronic vulnerability, food insecurity, and armed conflict. Humanitarian and development programs are faced with diverse challenges in the ...
Tag-My-Outfit is a classifier that predicts the category and the attributes of a piece of clothing viewed in a given image. It is containerized and gRPC enabled so that it can be used standalone or in a pipeline using AI4EU experiments platform.
A computer vision tool specifically designed to automate the classification of visual documents.
A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information
Interactive dialogue between user-machine learning model via explanations
LioNets technique applied to the Turbofan Engine Degradation Simulation dataset (time-series data) LioNets on Time Series
Dockerized AI4EU Acumos component for uncertainty estimation for classification networks
LORE (LOcal Rule-based Explanations) is a model-agnostic explanator for tabular data
LioNets: Local Interpretations Of Neural Networks through Penultimate Layer Decoding
Natural Disaster Management (NDM) is a complex task, requiring a plethora of different methods to facilitate it. Artificial Intelligence (AI) can be instrumental in this cause, by providing quick and reliable solutions to many problems related to NDM, suc...
This short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection offers a comprehensive overview and in-depth presentation of various computer vision and deep learning challenges encountered during the inspection of industri...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...