Information Retrieval Lab (IRlab): Envíos recentes

Mostrando ítems 6-10 de 49

    • Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview) 

      Parapar, Javier; Martín-Rodilla, Patricia; Losada, David E.; Crestani, Fabio (CEUR-WS, 2024)
      [Abstract]: This paper presents eRisk 2024, the eighth edition of the CLEF conference’s lab dedicated to early risk detection. Since its inception, the lab has been at the forefront of developing and refining evaluation ...

    • A rule-based system for explainable donor-patient matching in liver transplantation 

      Aguado, Felicidad; Cabalar, Pedro; Fandiño, Jorge; Muñiz, Brais; Pérez, Gilberto; Suárez, Francisco (Open Publishing Association, 2019-09)
      [Abstract]: In this paper we present web-liver, a rule-based system for decision support in the medical domain, focusing on its application in a liver transplantation unit for implementing policies for donor-patient matching. ...

    • Plugin for automatisation of phonetic-phonological analysis and obtaining analytical feedback for Spanish learners 

      Couto-Fernández, Tamara; Sarymsakova, Albina; Condori Fernández, Nelly; Martín-Rodilla, Patricia (CEUR-WS.org, 2022)
      [Abstract] We present in this article the Plugin for phonetic-phonological analysis in Spanish (PAFe), which consists of a series of scripts (a code written with a programming language (Python) that, implement three ...

    • ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation 

      Tejedor, Javier; Toledano, Doroteo T.; López-Otero, Paula; Docío-Fernández, Laura; Proença, Jorge; Perdigão, Fernando; García-Granada, Fernando; Sanchis, Emilio; Pompili, Anna; Abad, Alberto (SpringerOpen & European Association for Signal Processing, 2018)
      [Abstract]: Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems ...

    • How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods 

      Otero, David; Parapar, Javier; Ferro, Nicola (Association for Computing Machinery, 2023-10)
      [Abstract]: Creating test collections for offline retrieval evaluation requires human effort to judge documents' relevance. This expensive activity motivated much work in developing methods for constructing benchmarks with ...