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InCop Test Data Set
The datasets were designed to monitor and predict stress levels among operators in an industrial environment through the use of smartwatches. The structure is hierarchical and...-
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Private InCop - Industry 5.0 Collaborative Platform
Industry 5.0 platform with the aim of connecting people, processes, information, and objects in a single, interoperable ecosystem, offering decision support in the creation of... -
Code and data accompanying the paper: Quantifying Privacy Risks in Synthetic ...
This repository contains the code and data for the paper “Quantifying Privacy Risks in Synthetic Data: A Study on Black-Box Membership Inference”. It enables full... -
Private Masking Models for Outlier Explanation (M2OE)
$\text{M}^2 \text{OE}$ - Masking Models for Outlier Explanation This repository provides a Python implementation of the Masking Models for Outlier Explanation ($\text{M}^2... -
Private LatentOut
Tensorflow Implementation of LatentOut This repository provides a Tensorflow implementation of the LatentOut framework for anomaly detection. It is an extension of VAEOut, an... -
Private AutoEncoder-based eXplainable Anomaly Detection (AE-XAD)
AE-XAD This repository contains the code of the AE-XAD method (authored by Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina and Simona Nisticò). Dataset Dataset classes are... -
Private AE-SAD
Tensorflow implementation of AE-SAD This repository provides a Tensorflow implementation of the AE-SAD method for (semi-)supervised anomaly detection. Citation and Contact... -
Experimenting AspenPlus on the Music dataset
It has been recently proposed AspenPlus: an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the... -
Experimenting AspenPlus on the Pokémon dataset
It has been recently proposed AspenPlus: an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the... -
Experimenting AspenPlus on the IMDB dataset
It has been recently proposed AspenPlus: an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the... -
AspenPlus: ASP-based Implementation for Collective Entity Resolution with Glo...
This is an Answer Set Programming (ASP) encoding for LACE+, which is a novel declarative approach to Collective Entity Resolution in the classical relational database setting,... -
Federated Recursive Ridge Regression
Official implementation of the Federated Recursive Ridge Regression (Fed3R) and Only Local Labels (OLL) algorithms proposed in the ICML24 accepted paper "Accelerating... -
ReADLBench
This repository is a comprehensive collection of benchmarks for Deep Neural Networks (DNNs), designed to evaluate and compare the performance of various models across... -
Private MVC_Italian_speech_LLD_HLD
Low Level (Shimmer, Loudness, Harmonics-to-Noise Ratio,...) and High Level Descriptors (Functionals for the arithmetic mean and variance, Functionals for the mean and standard... -
Private InCoP
The general objectives of the project are aim to: 1. Develop an innovative platform for Industry 5.0: using the framework developed in WP9.3, the aim is to create a versatile... -
Private HAITI
The project constitutes one of the Use Cases developed as part of the FAIR project. The HAITI project, Human-centered Advanced Industrial Training Intelligence, aims to... -
AI for Industry 5.0
This is a Use Case developed in the context of the FAIR project. The overall objective of the project is to create a collaborative ecosystem to support a manufacturing... -
Private Toward eXplainabile Data-Driven Control (XDDC): The Property-Preserving Frame...
As Artificial Intelligence (AI) techniques continue to advance, the need for explainability becomes increasingly crucial, especially in sensitive or safety-critical domains.... -
Private Meta-learning for model-reference data-driven control
One-shot direct model-reference control design techniques, like the Virtual Reference Feedback Tuning (VRFT) approach, offer time-saving solutions for calibrating... -
Private An Inverse Learning Paradigm for Controller Tuning Rules
A sim2real approach for data-driven controller tuning, utilizing a digital twin to generate input-output data and suitable controllers around nominal parameter values. It is a...
