Roberto Stanzione

About

I am a postdoctoral researcher at Inria, École normale supérieure (ENS) in Paris, Île-de-France. My research focuses on statistical and machine learning methods for the analysis of complex data, with particular emphasis on time-dependent and high-dimensional settings.

I obtained my Ph.D. in Computer Science from the University of Salerno. Prior to that, I earned both my M.Sc. and B.Sc. degrees in Computer Science from the University of Salerno.

Research Interests

• Time Series Analysis
• Anomaly Detection
• Model Selection
• Data Imputation
• Data Profiling

Publications & Preprints

• (2025) 📄 An RFD-Based Approach for Concept Drift Detection in Machine Learning Systems
  Caruccio, L., Cirillo, S., Polese, G., Stanzione, R.
  EDBT 2025
• (2024) 📄 RYAN: A Tool for Explaining and Visually Analyzing the Evolution of Relaxed Functional Dependencies
  Caruccio, L., Cirillo, S., Iuliano, G., Polese, G., Stanzione, R.
  IEEE Big Data 2024
• (2024) 📄 Surveying Federated Learning Approaches through a Multi-Criteria Categorization
  Caruccio, L., Cimino, G., Deufemia, V., Iuliano, G., Stanzione, R.
  Multimedia Tools and Applications
• (2023) 📄 REQUIRED: A Tool to Relax Queries through Relaxed Functional Dependencies
  Caruccio, L., Cirillo, S., Deufemia, V., Polese, G., Stanzione, R.
  EDBT 2023
• (2022) 📄 Data Analytics on Twitter for Evaluating Women Inclusion and Safety in Modern Society
  Caruccio, L., Cirillo, S., Deufemia, V., Polese, G., Stanzione, R.
  ITAData 2022

Affiliation

Inria, École normale supérieure (ENS)
Paris, Île-de-France, France