Barreiro Garrido, Álvaro alvaro.barreiro@urjc.es

Actividades

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

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

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

Item-based relevance modelling of recommendations for getting rid of long tail products

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

Knowledge-Based Systems (p. 41-51) - 1/7/2016

10.1016/j.knosys.2016.03.021 Ver en origen

  • ISSN 09507051

A Distributed Recommendation Platform for Big Data

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

Journal Of Universal Computer Science (p. 1810-1829) - 1/1/2015

  • ISSN 0948695X
  • iMarina

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

Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms

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

Journal Of Universal Computer Science (p. 213-239) - 1/1/2014

  • ISSN 0948695X
  • iMarina

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

Improving the Extraction of Text in PDFs by Simulating the Human Reading Order

  • Hasan, Ismael
  • Parapar, Javier
  • Barreiro, Alvaro;

Journal Of Universal Computer Science (p. 623-649) - 1/1/2012

  • ISSN 0948695X
  • iMarina

Este/a investigador/a no tiene libros.

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

PsyProf: A Platform for Assisted Screening of Depression in Social Media

  • Perez, Anxo
  • Piot-Perez-Abadin, Paloma
  • Parapar, Javier
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 300-306) - 1/1/2023

10.1007/978-3-031-28241-6_30 Ver en origen

  • ISSN 03029743

LiMe: Linear Methods for Pseudo-Relevance Feedback

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

33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (p. 678-687) - 1/1/2018

  • iMarina

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

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

A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters

  • Parapar, Javier
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 403-412) - 1/1/2011

  • 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

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

Using a Rank Fusion Technique to Improve Shot Boundary Detection Effectiveness

  • Eduardo Ares, M.
  • Barreiro, Alvaro;

Lecture Notes In Computer Science (p. 247-254) - 1/1/2009

  • 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