Maurizio Mongelli
Scholar

Maurizio Mongelli

Google Scholar ID: L0eyBsEAAAAJ
CNR-IEIIT
AIcontrol of networkscybersecurity
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Citations & Impact
All-time
Citations
1,307
 
H-index
19
 
i10-index
36
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
2 items
Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features
arXiv.org · 2025
Cited
1
Exact characterization of {epsilon}-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation
2025
Cited
0
Resume (English only)
Academic Achievements
  • Published multiple papers on topics such as:
  • - Analysis of respiratory muscles density in different age groups
  • - Counterfactual inference using ordinary differential equations to assess the effect of physical activity on type 2 diabetes onset
  • - A probabilistic scaling approach to conformal predictions in binary image classification
  • - Advancements on IoT and AI applied to Pneumology
  • - Conformal predictions for probabilistically robust scalable machine learning classification
  • - Ensuring safe social navigation via explainable probabilistic and conformal safety regions
  • - Estimation and conformity evaluation of multi-class counterfactual explanations for chronic disease prevention
  • - Explainable artificial intelligence for cough-related quality of life impairment prediction in asthmatic patients
  • - Exploring prediabetes pathways using explainable AI on data from electronic medical records
  • - Multi-class counterfactual explanations using support vector data description
  • - Rule-based out-of-distribution detection
  • - CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence
  • - Characterization of synthetic health data using rule-based artificial intelligence models
  • - Dual-view single-shot multibox detector at urban intersections: settings and performance evaluation
  • - Towards a digital twin for personalized diabetes prevention: the PRAESIIDIUM project
  • - Trustworthy artificial intelligence classification-based equivalent bandwidth control
  • - Weighted mutual information for out-of-distribution detection
Research Experience
  • Conducted research in multiple areas, including but not limited to:
  • - Analysis of respiratory muscle density
  • - The effect of physical activity on the onset of type 2 diabetes
  • - Advancements in IoT and AI applied to Pneumology
  • - Explainable artificial intelligence for predicting cough-related quality of life impairment in asthmatic patients
  • - Exploring prediabetes pathways using explainable AI on data from electronic medical records
  • - Trustworthy artificial intelligence classification-based equivalent bandwidth control
Background
  • Affiliated with the Institute of Electronics and Information Engineering and Telecommunications (IEIIT) of the National Research Council of Italy.
Co-authors
0 total
Co-authors: 0 (list not available)