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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

Actividades

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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • ISSN 15596915

Este/a investigador/a no tiene libros.

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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

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

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 Ver en origen

  • 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 Ver en origen

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

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: 10/11/25 13:27