Barreiro Garrido, Álvaro alvaro.barreiro@urjc.es

Publications

A Pix2Pix Architecture for Complete Offline Handwritten Text Normalization

  • Barreiro-Garrido, A
  • Ruiz-Parrado, V
  • Moreno, AB
  • Velez, JF

Sensors - 1/6/2024

10.3390/s24123892

  • ISSN 14248220
  • iMarina

Relevance feedback for building pooled test collections

  • Otero, D
  • Parapar, J
  • Barreiro, A

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 (p. 102380-102380) - 1/1/2022

10.1016/j.artmed.2022.102380 View at source

  • ISSN 09333657

Lecture Notes in Computer Science

  • Josep Domingo i Ferrer, Daniel Schreckling, Joachim Possega

(p. 49-62) - 1/1/2021

  • iMarina

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

This researcher has no books.

Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings

  • Alfonso Landin
  • Javier Parapar
  • Álvaro Barreiro

Lecture Notes In Artificial Intelligence (p. 215-222) - 10/4/2020

3015665825 View at source

  • ISSN 1611-3349

PRIN: A Probabilistic Recommender with Item Priors and Neural Models

  • Alfonso Landin
  • Daniel Valcarce
  • Javier Parapar
  • Álvaro Barreiro

Lecture Notes In Artificial Intelligence (p. 133-147) - 7/4/2019

2935521657 View at source

  • ISSN 1611-3349

BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression

  • Anxo Pérez
  • Javier Parapar
  • Álvaro Barreiro
  • Silvia López‐Larrosa

Proceedings Of The 46th International Acm Sigir Conference On Research And Development In Information Retrieval (p. 2996-3006) - 19/7/2023

10.1145/3539618.3591905 View at source

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

Handwritten Word Recognition on the Fundación-Osborne Dataset

  • Barreiro-Garrido, A
  • Ruiz-Parrado, V
  • Sánchez, A
  • Velez, JF

Lecture Notes In Computer Science (p. 298-307) - 1/1/2022

10.1007/978-3-031-06527-9_29 View at source

  • ISSN 03029743

The Wisdom of the Rankers: A Cost-Effective Method for Building Pooled Test Collections without Participant Systems

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

36th Annual Acm Symposium On Applied Computing, Sac 2021 (p. 672-680) - 1/1/2021

10.1145/3412841.3441947 View at source

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

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: 11/10/25 1:27 PM