Institution

Centre de Recherche en Informatique, Signal et Automatique de Lille

FRfacility

Recent research

  • AI & Computing

    Minimizer Density Revisited: Models and Multiminimizers

    High-throughput sequence analysis commonly relies on k-mers and sampling schemes to improve scalability and data locality. Among these, local schemes are widely used and are typically evaluated by their density, the expected fraction of selected positions. Minimizers are the most...

    Journal of Computational Biology2026-10-080 citationsDOI
  • AI & Computing

    Super Bloom: Fast and Precise Filter for Streaming k -Mer Queries

    Approximate membership query structures are used throughout sequence bioinformatics, from read screening and metagenomic classification to assembly, indexing, and error correction. Among them, Bloom filters remain the default choice. They are not the most efficient structures in...

    Journal of Computational Biology2026-10-070 citationsDOI
  • Society & EconomicsOpen access

    AI as the New Paint: A Systematic Review of AI as a Design Material

    Artificial intelligence (AI) is increasingly influencing creative practice and workflows, with growing research exploring how it can be applied to advance creative work. In parallel, scholars have begun conceptualizing AI as a design material that practitioners can actively shape...

    2026-09-280 citationsDOI
  • Engineering & TechnologyOpen access

    Assessing port infrastructure criticality and vulnerability for climate adaptation planning: Insights from three European ports

    Climate change is increasing the intensity and frequency of extreme weather events, directly threatening critical port infrastructure and the stability of global supply chains. Effective adaptation planning requires systematic tools capable of identifying the most critical and cl...

    Ocean & Coastal Management2026-09-050 citationsDOI