Javier
Parapar López
Profesor Titular de Universidade
Álvaro
Barreiro García
Catedrático de Universidade
Publicacións nas que colabora con Álvaro Barreiro García (65)
2023
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BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression
SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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PsyProf: A Platform for Assisted Screening of Depression in Social Media
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Relevance feedback for building pooled test collections
Journal of Information Science
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Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict
Social Science Computer Review, Vol. 41, Núm. 5, pp. 1581-1607
2022
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Automatic depression score estimation with word embedding models
Artificial Intelligence in Medicine, Vol. 132
2021
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Protocolo de autoevaluación e impacto frente a técnicas tradicionales en la docencia práctica de Sistemas Operativos
Contextos universitarios transformadores. A nova normalidade académica. Leccións aprendidas e retos de futuro: V Xornadas de innovación docente
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Testing the tests: Simulation of rankings to compare statistical significance tests in information retrieval evaluation
Proceedings of the ACM Symposium on Applied Computing
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The wisdom of the rankers: A cost-effective method for building pooled test collections without participant systems
Proceedings of the ACM Symposium on Applied Computing
2020
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Beaver: Efficiently building test collections for novel tasks
CEUR Workshop Proceedings
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Novel and diverse recommendations by leveraging linear models with user and item embeddings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Shallow neural models for top-n recommendation
Frontiers in Artificial Intelligence and Applications
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Statistical language models for query-by-example spoken document retrieval
Multimedia Tools and Applications, Vol. 79, Núm. 11-12, pp. 7927-7949
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Using score distributions to compare statistical significance tests for information retrieval evaluation
Journal of the Association for Information Science and Technology, Vol. 71, Núm. 1, pp. 98-113
2019
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Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost
XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September
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Collaborative filtering embeddings for memory-based recommender systems
Engineering Applications of Artificial Intelligence, Vol. 85, pp. 347-356
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Docencia en Sistemas de Acceso á Información: detección de plaxios, emprego de tecnoloxías avanzadas para desenvolvemento software e achegamento da experiencia na industria á aula
Contextos universitarios transformadores: construíndo espazos de aprendizaxe.
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Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping
Information Processing and Management, Vol. 56, Núm. 1, pp. 43-60
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PRIN: A probabilistic recommender with item priors and neural models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Priors for Diversity and Novelty on Neural Recommender Systems
XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September
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When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections
Journal of the Association for Information Science and Technology, Vol. 70, Núm. 1, pp. 49-60