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R Bellotti

Biographic Data

ID7968011
NAMER Bellotti
GIVEN NAMESR
FAMILY NAMEBellotti
SIGNATUREBELLOTTI R
AFFILIATIONSIstituto Nazionale di Fisica Nucleare
ORCID0000-0003-3198-2708
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Beyond summer fires: Shifting forest fire across European biogeographical regions

    Open Access•Davide D'Alò, Davide D’Alò et al.•ARTICLE•Environmental Research Letters•2026

    Forest fire regimes in Europe are evolving due to complex interactions between climate change, land use, and management strategies. Traditionally concentrated in Mediterranean countries during the summer, fire activity is increasingly affecting regions and periods not historically considered at risk. In this study, we analyzed 20 years (2001–2020) of satellite-derived weekly forest fire data across five European biogeographical regions—Mediterran…

  • Air pollution and mortality for cancer of the respiratory system in Italy: An explainable artificial intelligence approach

    Open Access•Donato Romano, Pierfrancesco Novielli et al.•ARTICLE•Frontiers in Public Health•2024

    Respiratory system cancer, encompassing lung, trachea and bronchus cancer, constitute a substantial and evolving public health challenge. Since pollution plays a prominent cause in the development of this disease, identifying which substances are most harmful is fundamental for implementing policies aimed at reducing exposure to these substances. We propose an approach based on explainable artificial intelligence (XAI) based on remote sensing dat…

  • Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019

    Open Access•Angela Lombardi, A Monaco et al.•ARTICLE•Frontiers in Psychiatry•2021

    Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods. In this work, we present the results of the predict…

No prominent works on this page.

  • Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019

    Open Access•Angela Lombardi, A Monaco et al.•ARTICLE•Frontiers in Psychiatry•2021

    Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods. In this work, we present the results of the predict…

  • Air pollution and mortality for cancer of the respiratory system in Italy: An explainable artificial intelligence approach

    Open Access•Donato Romano, Pierfrancesco Novielli et al.•ARTICLE•Frontiers in Public Health•2024

    Respiratory system cancer, encompassing lung, trachea and bronchus cancer, constitute a substantial and evolving public health challenge. Since pollution plays a prominent cause in the development of this disease, identifying which substances are most harmful is fundamental for implementing policies aimed at reducing exposure to these substances. We propose an approach based on explainable artificial intelligence (XAI) based on remote sensing dat…

  • Beyond summer fires: Shifting forest fire across European biogeographical regions

    Open Access•Davide D'Alò, Davide D’Alò et al.•ARTICLE•Environmental Research Letters•2026

    Forest fire regimes in Europe are evolving due to complex interactions between climate change, land use, and management strategies. Traditionally concentrated in Mediterranean countries during the summer, fire activity is increasingly affecting regions and periods not historically considered at risk. In this study, we analyzed 20 years (2001–2020) of satellite-derived weekly forest fire data across five European biogeographical regions—Mediterran…

Artificial Intelligence (2 works) · Computer Science (2 works) · Machine learning (2 works) · Advanced Neuroimaging Techniques and Applications (1 works) · Air Quality and Health Impacts (1 works) · Air Quality Monitoring and Forecasting (1 works) · Artificial neural network (1 works) · Boreal (1 works) · Cancer (1 works) · Chart (1 works)

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