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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

Publications

Relevance feedback for building pooled test collections

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

Journal Of Information Science - 26/5/2023

10.1177/01655515231171085 View at source

  • ISSN 01655515

Automatic depression score estimation with word embedding models

  • Perez, Anxo
  • Parapar, Javier
  • Barreiro, Alvaro;

Artificial Intelligence In Medicine - 1/1/2022

10.1016/j.artmed.2022.102380 View at source

  • ISSN 09333657

Statistical language models for query-by-example spoken document retrieval

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

Multimedia Tools And Applications (p. 7927-7949) - 1/3/2020

10.1007/s11042-019-08522-z View at source

  • ISSN 13807501

Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation

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

Journal Of The Association For Information Science And Technology (p. 98-113) - 1/1/2020

10.1002/asi.24203 View at source

  • ISSN 23301635

Collaborative filtering embeddings for memory-based recommender systems

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

Engineering Applications Of Artificial Intelligence (p. 347-356) - 1/10/2019

10.1016/j.engappai.2019.06.020 View at source

  • ISSN 09521976

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 View at source

  • ISSN 03064573

When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections

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

Journal Of The Association For Information Science And Technology (p. 49-60) - 1/1/2019

10.1002/asi.24077 View at source

  • ISSN 23301635

Document-based and Term-based Linear Methods for Pseudo-Relevance Feedback

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

Applied Computing Review (p. 5-17) - 1/12/2018

10.1145/3167132.3167207 View at source

  • ISSN 15596915

Finding and analysing good neighbourhoods to improve collaborative filtering

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

Knowledge-Based Systems (p. 193-202) - 1/11/2018

10.1016/j.knosys.2018.06.030 View at source

  • ISSN 09507051

A MapReduce implementation of posterior probability clustering and relevance models for recommendation

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

Engineering Applications Of Artificial Intelligence (p. 114-124) - 1/10/2018

10.1016/j.engappai.2018.08.006 View at source

  • ISSN 09521976

This researcher has no books.

This researcher has no book chapters.

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 View at source

  • 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 View at source

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

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 8/12/23 3:08 AM