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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 DNAtools
Differential network analysis (DINA) is dedicatedto exploring these rewirings within gene and protein networks. The dataset contain Differential networks generated by using... -
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... -
Private ASPen: ASP-based Implementation for Collective Entity Resolution
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.... -
Experimenting ASPen on the DBLP 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 BrainyBot
BrainyBot (BB) is a robot infrastructure that can be programmed to solve turn-based, single player board games, such a Candy Crush Saga, Ball Sort Puzzle, 2048 and whatever... -
Private ThinkEngine
ThinkEngine is a tool that allows to integrate declarative automated reasoning modules in 3D simulations and videogames in the Unity development engine. -
Private ltlf2asp
Linear Temporal Logic over Finite Traces (LTLf) is a popular logic to reason about finite sequences of events. In LTLf, the (bounded) satisfiability problem refers to whether... -
Private Cybersecurity NER BERT-base-cased model
This method includes a Python script and files of a BERT-base-cased model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that... -
Stroke and sepsi
The considered stroke dataset (DOI:10.17632/x8ygrw87jw.1, DOI:10.1016/j.artmed.2019.101723) was pre-processed by removing attributes with more than 30% missing values, by... -
Cybersecurity NER RoBERTa-base model
This method includes a Python script and files of a RoBERTa-base model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will...-
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Human and mouse gene regulatory networks
The dataset was built by considering gene expression data related to 6 different organs (liver, lung, brain, skin, bone marrow, heart), obtained by control samples available... -
RAN and NWDAF data from Cellular Network in Catania
Dataset containing various RAN and UEs metrics collected from 4 BSs deployed at Piazza D'Uomo, Catania. Metrics can be used for machine learning-based studies for physical... -
Private RF UAVs in anechoic chamber at different distances.
Dataset containing measurements of RF signals from two DJI M100 UAVs using a USRP X310 in an anechoic chamber. I/Q samples were exclusively collected in the downlink channel.... -
Simulation of urban impact of navigation services
This experiment performs a simulation (using SUMO) of the urban impact of two navigation services (TomTom and OpenRoutingService) in the city of Milan, Italy.
