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Best Arm Identification for Stochastic Rising Bandits
We propose two algorithms, R-UCBE and R-SR, performing best arm identification in the stochastic rising bandit setting, thought for modeling the combined algorithm selection... -
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... -
Experimenting ASPen on the Music dataset
It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical... -
neXSim
neXSim is a web-based prototype system implementing "implementing a logic based framework for characterising nexus of similarity within knowledge bases", namely expressing in... -
Experimenting ASPen on the Cora dataset
It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical... -
Private Architectural support for Software Performance in Continuous Software Enginee...
The dataset contains the outcome of the Architectural support for software performance in continuous software engineering: A systematic mapping study manuscript. It contains... -
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... -
ASP Chef
ASP Chef is a simple, intuitive web app for analysing answer sets without having to deal with complex tools or programming languages... well, excluding ASP! ASP Chef is... -
Neural Networks for Sparse Grid-Based Discontinuity Detectors
In this repository, we publish the codes necessary to load and use the NN-based discontinuity detectors, presented for the first time in the preprint: Graph-Informed Neural... -
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.... -
CPG: Constrained Policy Gradient
CPG is a reinforcement learning algorithm thought for solving continuous control problems with user defined or structural constraints. CPG has two versions, C-PGPE and C-PGAE,... -
Private DNAtools
Differential network analysis (DINA) is dedicatedto exploring these rewirings within gene and protein networks. The dataset contain Differential networks generated by using... -
Australian Internet Observatory
National research infrastructure for collecting and analysing digital platforms and social data. The Australian Internet Observatory is a new, four-year national research... -
Private LoRaWAN water meter dataset
The datasets represent 19 months of operational data collected between May 2019 and January 2021, originating from a LoRaWAN-based water meter deployment. These datasets... -
Private ML-Link
ML-Link is a novel neural-network-based learning framework for link prediction on (attributed) multilayer networks, whose key idea is to combine (i) pairwise similarities of... -
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... -
Experimenting ASPen on the IMDB dataset
It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical... -
Onboard deep lossless and near-lossless predictive coding of hyperspectral im...
Code for "Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention" paper. The method implements a low-complexity neural... -
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... -
Identifying and exploiting homogeneous communities in labeled networks
Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a...
