Browsing by Author "Barreiro, Álvaro"
Now showing items 1-8 of 8
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Automatic depression score estimation with word embedding models
Pérez, Anxo; Parapar, Javier; Barreiro, Álvaro (Elsevier, 2022)[Abstract]: Depression is one of the most common mental health illnesses. The biggest obstacle lies in an efficient and early detection of the disorder. Self-report questionnaires are the instruments used by medical experts ... -
BDI-Sen: a sentence dataset for clinical symptoms of depression
Pérez, Anxo; Parapar, Javier; Barreiro, Álvaro; López-Larrosa, Silvia (Association for Computing Machinery, 2023-07)[Abstract] People tend to consider social platforms as convenient media for expressing their concerns and emotional struggles. With their widespread use, researchers could access and analyze user-generated content related ... -
Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost
Otero, David; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (M D P I AG, 2019-08-01)[Abstract] Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way ... -
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
López-Otero, Paula; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (Universidade da Coruña, Cufie, 2019)[Resumo] Este artigo presenta as actividades desenvolvidas polo grupo de innovación educativa en Sistemas de Acceso á Información durante o curso 2017/2018. Este grupo, con docencia na Facultade de Informática da ... -
Priors for Diversity and Novelty on Neural Recommender Systems
Landin, Alfonso; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (M D P I AG, 2019-07-31)[Abstract] PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity ... -
Protocolo de autoevaluación e impacto frente a técnicas tradicionales en la docencia práctica de Sistemas Operativos
Martín-Rodilla, Patricia; Parapar, Javier; Barreiro, Álvaro (Universidade da Coruña, Servizo de Publicacións, 2021)[Resumen] Estudios acerca del impacto de los mecanismos de autoevaluación en la docencia en Ingeniería Informática señalan en los últimos años los beneficios de la autoevaluación como medio formativo en sí mismo, para ... -
Using machine learning techniques to predict adolescents’ involvement in family conflict
López-Larrosa, Silvia; Sánchez Souto, Vanesa; Losada, David E.; Parapar, Javier; Barreiro, Álvaro; Ha, Anh P.; Cummings, E. Mark (2022)[Abstract] Many cases of violence against children occur in homes and other close environments. Machine leaning is a novel approach that addresses important gaps in ways of examining this socially significant issue, ... -
Using score distributions to compare statistical significance tests for information retrieval evaluation
Parapar, Javier; Losada, David E.; Presedo-Quindimil, Manuel-Antonio; Barreiro, Álvaro (Willey, 2019-01-11)[Abstract] Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies have examined the validity and ...