Matteo Ruggiero

According to our database, Matteo Ruggiero authored at least 12 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards trustworthy digital health: reliability of uncertainty-aware convolutional neural networks.

Luigi Di Biasi, Fabiola De Marco, Matteo Ruggiero, Alessia Auriemma Citarella, Genoveffa Tortora

PeerJ Comput. Sci., 2026

2025

Towards Quantum-Enhanced Data Profiling: A Vision for Missing Value Imputation with Approximate Functional Dependencies.

Matteo Ruggiero, Luigi Di Biasi, Genoveffa Tortora, Stefano Cirillo, Gaetano Cimino, Giandomenico Solimando

Dataset, November, 2025

Towards Quantum-Enhanced Data Profiling: A Vision for Missing Value Imputation with Approximate Functional Dependencies.

Matteo Ruggiero, Luigi Di Biasi, Genoveffa Tortora, Stefano Cirillo, Gaetano Cimino, Giandomenico Solimando

Dataset, November, 2025

Towards Quantum-Enhanced Data Profiling: A Vision for Missing Value Imputation with Approximate Functional Dependencies.

Matteo Ruggiero, Luigi Di Biasi, Genoveffa Tortora, Stefano Cirillo, Gaetano Cimino, Giandomenico Solimando

Dataset, November, 2025

Towards Quantum-Enhanced Data Profiling: A Vision for Missing Value Imputation with Approximate Functional Dependencies.

Matteo Ruggiero, Luigi Di Biasi, Genoveffa Tortora, Stefano Cirillo, Gaetano Cimino, Giandomenico Solimando

Dataset, November, 2025

Diabetes Management: Non-Invasive Glucose Monitoring via ECG and Machine Learning.

Matteo Ruggiero, Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, Genoveffa Tortora

Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

2024

Imputazione di valori mancanti mediante dipendenze funzionali rilassate: Un approccio quantistico.

Luigi Di Biasi, Matteo Ruggiero, Genoveffa Tortora

Dataset, September, 2024

An R Package for Nonparametric Inference on Dynamic Populations with Infinitely Many Types.

Filippo Ascolani, Stefano Damato, Matteo Ruggiero

J. Comput. Biol., 2024

2018

Computational challenges and temporal dependence in Bayesian nonparametric models.

Raffaele Argiento, Matteo Ruggiero

Stat. Methods Appl., 2018

2016

A time dependent Bayesian nonparametric model for air quality analysis.

Luis Gutiérrez, Ramsés H. Mena, Matteo Ruggiero

Comput. Stat. Data Anal., 2016

2015

Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?

Pierpaolo De Blasi, Stefano Favaro, Antonio Lijoi, Ramsés H. Mena, Igor Prünster, Matteo Ruggiero

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014

Species Dynamics in the Two-Parameter Poisson-Dirichlet Diffusion Model.

Matteo Ruggiero

J. Appl. Probab., 2014