Roberto Stanzione

Postdoctoral Researcher · Inria, École normale supérieure (ENS), Paris

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

  • (2026) 📄 Retrieval Over Training: Similarity search-based Model Selection for Time Series Anomaly Detection
    Panourgias C., Stanzione R., Petralia A., Palpanas T., Boniol P.
    📌 NeurIPS 2026 (To Appear)
  • (2026) 📄 Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability.
    Stanzione, R., Barbe, J., Parrino, M., Fourmann, J., Boniol, P.
    📌 NeurIPS 2026 (To Appear)
  • (2025) 📄 Grace: Graph-based Representation and Analysis for Crime Exploration.
    Iuliano, G., Margarella, G., Polese, G., Stanzione, R.
    📌 CRISTAIN 2025
  • (2025) 📄 . Concept Drift Detection in Machine Learning Systems by Exploiting Relaxed Functional Dependencies.
    🖋️ Caruccio, L., Cirillo, S., Polese, G., Stanzione, R.
    📌 SEBD 2025
  • (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