Jean-Gabriel Gaudreault
projects / publications /
Publications
  • Prioritizing the essential: A robust evaluation framework for novelty detection
    A formalized evaluation framework and novel metrics for fairly assessing novelty detection algorithms over time.
    06 January 2025
  • Detection of Novel Cyberattacks Using Multi-Binary Classifiers
    A novel supervised approach using multi-binary classifiers to detect unseen zero-day cyberattacks with low false alarm rates.
    11 November 2024
  • A systematic literature review of novelty detection in data streams: Challenges and opportunities
    A comprehensive review of the state-of-the-art, challenges, and future directions for novelty detection in data streams.
    14 May 2024
  • Empirical analysis of performance assessment for imbalanced classification
    An extensive empirical analysis of performance metrics and data characteristics in imbalanced binary classification.
    23 January 2024
  • Toward streamlining the evaluation of novelty detection in data streams
    A proposed evaluation framework and novel metrics for assessing novelty detection algorithms in data streams.
    08 October 2023
  • An Analysis of Performance Metrics for Imbalanced Classification
    A study on the impact of various performance metrics for imbalanced classification domains.
    09 October 2021
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