RDF/XML JSON-LD N3/Turtle RDF/JSON

Barreiro Garrido, Álvaro alvaro.barreiro@urjc.es

Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa / Universidad Rey Juan Carlos

Actividades

Embedding term similarity and inverse document frequency into a logical model of information retrieval

  • Losada, DE
  • Barreiro, A;

Journal Of The American Society For Information Science And Technology (p. 285-301) - 15/2/2003

10.1002/asi.10209 Ver en origen

  • ISSN 15322882

Relevance feedback for building pooled test collections

  • Otero, David
  • Parapar, Javier
  • Barreiro, Alvaro;

Journal Of Information Science - 26/5/2023

10.1177/01655515231171085 Ver en origen

  • ISSN 01655515

Axiomatic Analysis of Language Modelling of Recommender Systems

  • Valcarce, Daniel
  • Parapar, Javier
  • Barreiro, Alvaro;

International Journal Of Uncertainty Fuzziness And Knowledge-Based Systems (p. 113-127) - 1/12/2017

10.1142/s0218488517400141 Ver en origen

  • ISSN 02184885

DESIGN AND INTEGRATION OF A GRAPHIC INTERFACE FOR AN EXPERT-SYSTEM IN ONCOLOGY

  • MARIN, R
  • TABOADA, M
  • MIRA, J
  • BARREIRO, A
  • OTERO, RP;

International Journal Of Bio-Medical Computing (p. 25-43) - 1/7/1993

10.1016/0020-7101(93)90057-d Ver en origen

  • ISSN 00207101
  • ISSN/ISBN 0020-7101

Score distributions for Pseudo Relevance Feedback

  • Parapar, Javier
  • Presedo-Quindimil, Manuel A.
  • Barreiro, Alvaro;

Information Sciences (p. 171-181) - 20/7/2014

10.1016/j.ins.2014.03.034 Ver en origen

  • ISSN 00200255

Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping

  • Lopez-Otero, Paula
  • Parapar, Javier
  • Barreiro, Alvaro;

Information Processing & Management (p. 43-60) - 1/1/2019

10.1016/j.ipm.2018.09.002 Ver en origen

  • ISSN 03064573

Relevance-based language modelling for recommender systems

  • Parapar, Javier
  • Bellogin, Alejandro
  • Castells, Pablo
  • Barreiro, Alvaro;

Information Processing & Management (p. 966-980) - 1/7/2013

10.1016/j.ipm.2013.03.001 Ver en origen

  • ISSN 03064573

An experimental study of constrained clustering effectiveness in presence of erroneous constraints

  • Eduardo Ares, M.
  • Parapar, Javier
  • Barreiro, Alvaro;

Information Processing & Management (p. 537-551) - 1/5/2012

10.1016/j.ipm.2011.08.006 Ver en origen

  • ISSN 03064573

Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems

  • Losada, David E.
  • Parapar, Javier
  • Barreiro, Alvaro;

Information Processing & Management (p. 1005-1025) - 1/9/2017

10.1016/j.ipm.2017.04.005 Ver en origen

  • ISSN 03064573

A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation

  • Losada, David E.
  • Parapar, Javier
  • Barreiro, Alvaro;

Information Fusion (p. 56-71) - 1/1/2018

10.1016/j.inffus.2017.04.001 Ver en origen

  • ISSN 15662535

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

Implementing document ranking within a logical framework

  • Losada, DE
  • Barreiro, A;

Spire 2000: Seventh International Symposium On String Processing And Information Retrieval - Proceedings (p. 188-198) - 1/1/2000

10.1109/spire.2000.878195 Ver en origen

Using a belief revision operator for document ranking in extended Boolean models

  • Losada, DE
  • Barreiro, A;

Sigir'99: Proceedings Of 22nd International Conference On Research And Development In Information Retrieval (p. 66-73) - 1/1/1999

10.1145/312624.312654 Ver en origen

Combining Top-N Recommenders with Metasearch Algorithms

  • Valcarce, Daniel
  • Parapar, Javier
  • Barreiro, Alvaro;

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (p. 805-808) - 1/1/2017

10.1145/3077136.3080647 Ver en origen

Where to Start Filtering Redundancy? A Cluster-Based Approach

  • Fernandez, Ronald T.
  • Parapar, Javier
  • Losada, David E.
  • Barreiro, Alvaro;

SIGIR 2010: PROCEEDINGS OF THE 33RD ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH DEVELOPMENT IN INFORMATION RETRIEVAL (p. 735-736) - 1/1/2010

  • iMarina

Blog Snippets: A Comments-Biased Approach

  • Parapar, Javier
  • Lopez-Castro, Jorge
  • Barreiro, Alvaro;

SIGIR 2010: PROCEEDINGS OF THE 33RD ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH DEVELOPMENT IN INFORMATION RETRIEVAL (p. 711-712) - 1/1/2010

  • iMarina

Compression-Based Document Length Prior for Language Models

  • Parapar, Javier
  • Losada, David E.
  • Barreiro, Alvaro;

PROCEEDINGS 32ND ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (p. 652-653) - 1/1/2009

10.1145/1571941.1572061 Ver en origen

Promoting Divergent Terms in the Estimation of Relevance Models

  • Parapar, Javier
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 77-88) - 1/1/2011

  • ISSN 03029743
  • iMarina

CIE-9-MC Code Classification with knn and SVM

  • Lojo, David
  • Losada, David E.
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 499-+) - 1/1/2009

  • ISSN 03029743
  • iMarina

Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms

  • Eduardo Ares, M.
  • Parapar, Javier
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 407-421) - 1/1/2010

  • ISSN 03029743
  • iMarina

Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links

  • Eduardo Ares, M.
  • Parapar, Javier
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 322-329) - 1/1/2009

  • ISSN 03029743
  • iMarina

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 12/08/23 3:08