Skip to main navigation Skip to search Skip to main content
1998 …2025

Research activity per year

Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics where Luigia Petre is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Detecting Gravitational Waves as Anomalies with Convolutional Autoencoders

    Morawski, F., Bejger, M., Cuoco, E. & Petre, L., 12 Apr 2025, Gravitational Wave Science with Machine Learning. Cuoco, E. (ed.). Springer, p. 173-197 29 p. (Springer Series in Astrophysics and Cosmology).

    Research output: Chapter in Book/Conference proceedingChapterScientificpeer-review

  • Special Collection on Computer Science Education

    Petre, L. & Cavalcanti, A., 6 Feb 2025, In: Formal Aspects of Computing. 37, 1, p. 1-2 2 p., 5.

    Research output: Contribution to journalEditorialProfessional

    Open Access
  • Scalable reaction network modeling with automatic validation of consistency in Event-B

    Sanwal, U., Hoang, T. S., Petre, L. & Petre, I., Jan 2022, In: Scientific Reports. 12, 9 p., 1287.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    53 Downloads (Pure)
  • Anomaly detection in gravitational waves data using convolutional autoencoders

    Morawski, F., Bejger, M., Cuoco, E. & Petre, L., 2021, In: Machine Learning: Science and Technology. 2, 4, 29 p., 045014.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    25 Citations (Scopus)
    137 Downloads (Pure)
  • A software quality course: the breadth approach

    Petre, L., 2021, Quality of Information and Communications Technology. Paiva, A. C. R., Cavalli, A. R., Ventura Martins, P. & Pérez-Castillo, R. (eds.). Springer, p. 536-552 17 p. (Communications in Computer and Information Science; vol. 1439).

    Research output: Chapter in Book/Conference proceedingPublished conference proceedingScientificpeer-review

    Open Access
    File
    134 Downloads (Pure)