Výsledky vyhľadávania - "Parapar, Javier"

Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling

Autori: Piot, Paloma Martín-Rodilla, Patricia Parapar, Javier

Témy: Gender Classification, Author Profiling, Feature Relevance, Social media, info:eu-repo/semantics/conferenceObject

URL: http://hdl.handle.net/2183/31181
https://www.scitepress.org/Papers/2021/104319/104319.pdf
https://www.scitepress.org/Papers/2021/104319/104319.pdf

Gender Classification Models and Feature Impact for Social Media Author Profiling

Autori: Piot-Perez-Abadin, Paloma Martin-Rodilla, Patricia Parapar, Javier

Zdroj: Communications in Computer and Information Science ; Evaluation of Novel Approaches to Software Engineering ; page 265-287 ; ISSN 1865-0929 1865-0937 ; ISBN 9783030966478 9783030966485

Dostupnosť: http://dx.doi.org/10.1007/978-3-030-96648-5_12
https://link.springer.com/content/pdf/10.1007/978-3-030-96648-5_12

Overview of eRisk 2025: Early Risk Prediction on the Internet (Extended Overview)

Autori: Parapar, Javier Pérez, Anxo Crestani, Fabio a ďalší

Predmety: Early risk detection, Depression, Conversational analysis, LLMs, Large Language Models, eRisk

Popis súboru: application/pdf

Relation: https://ceur-ws.org/Vol-4038/paper_117.pdf; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137061OB-C21/ES/BUSQUEDA, SELECCION Y ORGANIZACION DE CONTENIDOS PARA NECESIDADES DE INFORMACION RELACIONADAS CON LA SALUD - CONSTRUCCION DE RECURSOS Y PERSONALIZACION; https://hdl.handle.net/2183/46349

Dostupnosť: https://hdl.handle.net/2183/46349

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

Autori: Aragón, Mario Ezra Parapar, Javier Losada, David E.

Predmety: Social media, Mental Health, Computational Intelligence, Language Models, eRisk, Social Media Monitoring

Prístupová URL adresa: https://hdl.handle.net/2183/36414

Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview)

Autori: Parapar, Javier Martín-Rodilla, Patricia Losada, David E. a ďalší

Predmety: Depression, Eating disorders, Early risk, Anorexia

Prístupová URL adresa: https://hdl.handle.net/2183/38956

Relevance feedback for building pooled test collections.

Autori: Otero, David Parapar, Javier Barreiro, Álvaro

Zdroj: Journal of Information Science; Dec2025, Vol. 51 Issue 6, p1379-1396, 18p

Predmety: INFORMATION retrieval, EVALUATION methodology, TEXT mining, STATISTICAL methods in information science

Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation

Autori: Parapar, Javier Losada, David E. Barreiro, Álvaro

Témy: Information retrieval, Statistical testing, Simulation, conference output

URL: http://hdl.handle.net/2183/41305
https://doi.org/10.1145/3412841.3441945
https://doi.org/10.1145/3412841.3441945
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093336-B-C21/ES/TECNOLOGIAS PARA LA PREDICCION TEMPRANA DE SIGNOS RELACIONADOS CON TRASTORNOS PSICOLOGICOS
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093336-B-C22/ES/TECNOLOGIAS PARA LA PREDICCION TEMPRANA DE SIGNOS RELACIONADOS CON TRASTORNOS PSICOLOGICOS (SUBPROYECTO UDC)

Relevance feedback for building pooled test collections

Autori: Otero, David Parapar, Javier Barreiro, Álvaro

Predmety: Pooling, Relevance feedback, Reranking, Test collections

Popis súboru: application/pdf

Relation: https://doi.org/10.1177/01655515231171085; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/PLEC2021-007662/ES/BIG-eRISK: PREDICCIÓN TEMPRANA DE RIESGOS PERSONALES EN CONJUNTOS DE DATOS MASIVOS; info:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/FPU20%2F02659/ES/; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2022-137061OB-C21/ES/BUSQUEDA, SELECCION Y ORGANIZACION DE CONTENIDOS PARA NECESIDADES DE INFORMACION RELACIONADAS CON LA SALUD - CONSTRUCCION DE RECURSOS Y PERSONALIZACION; https://hdl.handle.net/2183/41306

Dostupnosť: https://hdl.handle.net/2183/41306
https://doi.org/10.1177/01655515231171085

Explainable depression symptom detection in social media.

Autori: Bao, Eliseo Pérez, Anxo Parapar, Javier

Zdroj: Health Information Science & Systems; 9/6/2024, Vol. 12 Issue 1, p1-18, 18p

Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis.

Alternate Title: Comparación de algoritmos de agrupamiento para el descubrimiento de conocimiento en publicaciones de redes sociales: un caso de estudio en salud mental. (Spanish)

Autori: Couto, Manuel Parapar, Javier Losada, David E.

Zdroj: Procesamiento del Lenguaje Natural; sep2024, Vol. 73, p69-81, 13p

Predmety: SOCIAL media, NATURAL language processing, COMPULSIVE gambling, MENTAL illness, MENTAL depression, USER-generated content

Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020’s Tensions Over Race and Heritage

Autori: Otero, David Martín-Rodilla, Patricia Parapar, Javier

Predmety: Information retrieval, Applied computing, Human-centered computing, Reference collections, Social networks, Pooling

Popis súboru: application/pdf

Relation: David Otero, Patricia Martin-Rodilla, and Javier Parapar. 2021. Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020’s Tensions Over Race and Heritage [PREPRINT]. https://hdl.handle.net/2183/28052; https://doi.org/10.1145/3477604; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093336-B-C21/ES/TECNOLOGIAS PARA LA PREDICCION TEMPRANA DE SIGNOS RELACIONADOS CON TRASTORNOS PSICOLOGICOS/; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093336-B-C22/ES/TECNOLOGIAS PARA LA PREDICCION TEMPRANA DE SIGNOS RELACIONADOS CON TRASTORNOS PSICOLOGICOS (SUBPROYECTO UDC)/; info:eu-repo/grantAgreement/EC/H2020/CA18128; https://hdl.handle.net/2183/46540

Dostupnosť: https://hdl.handle.net/2183/46540
https://doi.org/10.1145/3477604

Using Machine Learning Techniques to Predict Adolescents' Involvement in Family Conflict.

Autori: Lopez-Larrosa, Silvia Sánchez-Souto, Vanesa Losada, David E. a ďalší

Zdroj: Social Science Computer Review; Oct2023, Vol. 41 Issue 5, p1581-1607, 27p

Predmety: FAMILY conflict, SECURITY (Psychology), TEENAGERS, SPANIARDS, RESIDENTIAL care, MACHINE learning

PsyProf: A Platform for Assisted Screening of Depression in Social Media

Autori: Pérez, Anxo Piot, Paloma Parapar, Javier a ďalší

Témy: Depression estimation, Author profiling, BDI-II, conference output

URL: http://hdl.handle.net/2183/39876
https://doi.org/10.1007/978-3-031-28241-6_30
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
https://doi.org/10.1007/978-3-031-28241-6_30
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/PLEC2021-007662/ES/BIG-eRISK: PREDICCIÓN TEMPRANA DE RIESGOS PERSONALES EN CONJUNTOS DE DATOS MASIVOS

Reducing sexual predation and victimization through warnings and awareness among high-risk users.

Autori: Takano, Masanori Nishiguchi, Mao Toriumi, Fujio

Zdroj: Journal of Computational Social Science; Aug2025, Vol. 8 Issue 3, p1-20, 20p

Probabilistic collaborative filtering with negative cross entropy

Autori: Bellogin Kouki, Alejandro Parapar, Javier Castells Azpilicueta, Pablo a ďalší

Prispievatelia: Bellogin Kouki, Alejandro Parapar, Javier Castells Azpilicueta, Pablo a ďalší

Predmety: Collaborative filtering, Recommender systems, Relevance models, Informática

Popis súboru: application/pdf

Relation: http://dx.doi.org/10.1145/2507157.2507191; October 12-16, 2013; Hong Kong (China); 7th ACM Conference on Recommender Systems, Recsys 2013; http://hdl.handle.net/10486/665126; 387; 390

Dostupnosť: http://hdl.handle.net/10486/665126
https://doi.org/10.1145/2507157.2507191

Relevance-based language modelling for recommender systems

Autori: Parapar, Javier Bellogin Kouki, Alejandro Castells Azpilicueta, Pablo a ďalší

Prispievatelia: Parapar, Javier Bellogin Kouki, Alejandro Castells Azpilicueta, Pablo a ďalší

Zdroj: Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Universidad Autónoma de Madrid

Predmety: Informática, Relevance models, Collaborative filtering, Recommender systems, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Probabilistic clustering

Popis súboru: application/pdf

Prístupová URL adresa: https://repositorio.uam.es/bitstream/10486/663733/1/relevance-based_parapar_IPM_2013_ps.pdf
http://hdl.handle.net/10486/663733

Fusion of Topic Modeling and RoBERTa for Detecting Signs of Depression from Social Media.

Autori: H. V., Madhu Sudhan Kumar, S. Saravana

Zdroj: Fusion: Practice & Applications; 2024, Vol. 15 Issue 1, p196-204, 9p

Predmety: LANGUAGE models, NATURAL language processing, MENTAL depression, ARTIFICIAL intelligence

Korporácia: REDDIT Inc.

Assessing ranking metrics in top-N recommendation.

Autori: Valcarce, Daniel Bellogín, Alejandro Parapar, Javier a ďalší

Zdroj: Information Retrieval Journal; Aug2020, Vol. 23 Issue 4, p411-448, 38p

Predmety: RECOMMENDER systems, INFORMATION retrieval, ARITHMETIC mean

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

Autori: Lopez-Otero, Paula Parapar, Javier Barreiro, Alvaro

Zdroj: Multimedia Tools & Applications; Mar2020, Vol. 79 Issue 11/12, p7927-7949, 23p

Predmety: INFORMATION retrieval, STATISTICAL models, INTERNET searching, PATTERN matching, INFORMATION storage & retrieval systems

Using score distributions to compare statistical significance tests for information retrieval evaluation.

Autori: Parapar, Javier Losada, David E. Presedo‐Quindimil, Manuel A. a ďalší

Zdroj: Journal of the Association for Information Science & Technology; Jan2020, Vol. 71 Issue 1, p98-113, 16p, 3 Charts, 9 Graphs

Predmety: CHI-squared test, COMPARATIVE studies, INFORMATION retrieval, RESEARCH funding, STATISTICS, T-test (Statistics), DATA analysis, STATISTICAL significance, STATISTICAL models, DESCRIPTIVE statistics