F. Ruffini
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View article: Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability
Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability Open
Crime prediction has become a valuable tool for enhancing predictive policing, enabling law enforcement agencies to allocate resources more effectively and implement proactive crime prevention strategies, particularly in high-crime areas. …
View article: On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data Open
The traditional process of repairing electrical appliances, including industrial appliances, is activated by a fault report submitted by the owner of the appliance that summarizes the symptoms of the fault. Then, based on their experience …
View article: Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks Open
Real-time applications based on streaming data collected from remote devices, such as smartphones and vehicles, are commonly developed using Artificial Intelligence (AI). Such applications must fulfill different requirements: on one hand, …
View article: Experimental Assessment of Heterogeneous Fuzzy Regression Trees
Experimental Assessment of Heterogeneous Fuzzy Regression Trees Open
Fuzzy Regression Trees (FRTs) are widely acknowledged as highly interpretable ML models, capable of dealing with noise and/or uncertainty thanks to the adoption of fuzziness. The accuracy of FRTs, however, strongly depends on the polynomia…
View article: Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models Open
The current era is characterized by an increasing pervasiveness of applications and services based on data processing and often built on Artificial Intelligence (AI) and, in particular, Machine Learning (ML) algorithms. In fact, extracting…
View article: Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks
Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks Open
Online data stream analysis is becoming more and more relevant, as the focus of daily life analyses shifts from offline processing to real-time acquisition and modeling of massive data from remote devices. In this paper, we focus our atten…
View article: Hybrid nowcasting for solar power plants using satellite-data and Numerical Weather Predictions for (Deep) Machine Learning methods
Hybrid nowcasting for solar power plants using satellite-data and Numerical Weather Predictions for (Deep) Machine Learning methods Open
<p>With the expanding penetration of renewable energy in the energy sector, we observe an ever-increasing need for more accurate weather and production forecasts. They are needed by several energy players: plant owners, system operat…
View article: Condition monitoring and early diagnostics methodologies for hydropower plants
Condition monitoring and early diagnostics methodologies for hydropower plants Open
Hydropower plants are one of the most convenient option for power generation, as they generate energy exploiting a renewable source, they have relatively low operating and maintenance costs, and they may be used to provide ancillary servic…
View article: Predictive Maintenance in Photovoltaic Plants with a Big Data Approach
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach Open
This paper presents a novel and flexible solution for fault prediction based on data collected from SCADA system. Fault prediction is offered at two different levels based on a data-driven approach: (a) generic fault/status prediction and …
View article: Patient mobility as a quality index of a bone marrow transplant center
Patient mobility as a quality index of a bone marrow transplant center Open
Background
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\nBone marrow transplant is a complex activity, the fourth per importance, preceded only by the transplants of liver/bowel, lung, pancreas and kidney and requires a huge investment of resources.
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\nPatient mobility, driven …