Rubén Francisco Manrique
Profesor asistente

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  • Analysis of Machine Learning Models for Academic Performance Prediction Capítulo en Memoria

    2024

    Benitez A, Castro H, Manrique R. (2024) Analysis of Machine Learning Models for Academic Performance Prediction. International Conference on Intelligent Tutoring Systems Generative Intelligence and Intelligent Tutoring Systems (ISBN 978-3-031-63031-6) Grecia. - 2024

  • Enhancing Autonomous Task Execution in Social Robots with Large Language Models Capítulo en Memoria

    2024

    Rojas L, Manrique R. (2024) Enhancing Autonomous Task Execution in Social Robots with Large Language Models. 2024 10th International Conference on Automation, Robotics and Applications (ICARA) (ISBN 2767-7745) Grecia. - 2024

  • Fine-Tuning Face Anti-Spoofing Models: Exploring the Transformative Impact of Image-Level Biometric Privacy-Enhancing Techniques Tesis

    2024

    .(2024). Fine-Tuning Face Anti-Spoofing Models: Exploring the Transformative Impact of Image-Level Biometric Privacy-Enhancing Techniques. Trabajo Dirigido por: Manrique R - 2024

  • Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction Capítulo en Memoria

    2024

    Manrique-Gómez L, Montes T, Rodriguez A, Manrique R. (2024) Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction. ACL 4th International Conference on Natural Language Processing for Digital Humanities The 4th International Conference on Natural Language Processing for Digital Humanities (ISBN 979-8-89176-181-0) Miami, Estados Unidos. - 2024

  • Historical Ink: Semantic Shift Detection for 19th Century Spanish Capítulo en Memoria

    2024

    Montes T, Manrique-Gómez L, Manrique R. (2024) Historical Ink: Semantic Shift Detection for 19th Century Spanish. Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics. Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change (ISBN 979-8-89176-138-4) Bangkok, Tailandia. - 2024

  • Large Language Models como planeadores multiagente en entornos sociales Tesis

    2024

    .(2024). Large Language Models como planeadores multiagente en entornos sociales. Trabajo Dirigido por: Manrique R - 2024

  • Modelo predictivo para inversión inmobiliaria, caso Colombia Tesis

    2024

    .(2024). Modelo predictivo para inversión inmobiliaria, caso Colombia. Trabajo Dirigido por: Manrique R - 2024

  • MusicGen Music generation model as a tool for artistic creation Tesis

    2024

    .(2024). MusicGen Music generation model as a tool for artistic creation. Trabajo Dirigido por: Manrique R - 2024

  • Preserving Heritage: Developing a Translation Tool for Indigenous Dialects Capítulo en Memoria

    2024

    Robles M, Prieto J, Martinez C, Manrique R. (2024) Preserving Heritage: Developing a Translation Tool for Indigenous Dialects. International Conference on Web Search and Data Mining Proceedings of the 17th ACM International Conference on Web Search and Data Mining (ISBN 9798400703713) Ciudad de México, México. - 2024

  • Studying academic success: A data analytics approach to predict performance of higher education students Tesis

    2024

    .(2024). Studying academic success: A data analytics approach to predict performance of higher education students. Trabajo Dirigido por: Manrique R - 2024

  • A Semantic Enhanced Course Recommender System via Knowledge Graphs for Limited User Information Scenarios Artículo

    2023

    Sanguino J, Manrique R, Marino O. (2023) A Semantic Enhanced Course Recommender System via Knowledge Graphs for Limited User Information Scenarios. SN Computer Science (ISSN 2662-995X) 5 (120), pp. 10-25. - 2023

  • Accent based model for speech spoofing countermeasures. Tesis

    2023

    .(2023). Accent based model for speech spoofing countermeasures.. Trabajo Dirigido por: Manrique R - 2023

  • Artificial intelligence techniques applied to cryptocurrency market prediction Tesis

    2023

    .(2023). Artificial intelligence techniques applied to cryptocurrency market prediction. Trabajo Dirigido por: Manrique R - 2023

  • Comparativo entre modelos de knowledge tracing aplicados a los ejercicios de la plataforma SENECODE Tesis

    2023

    .(2023). Comparativo entre modelos de knowledge tracing aplicados a los ejercicios de la plataforma SENECODE. Trabajo Dirigido por: Manrique R - 2023

  • Dimension reduction methods analysis in multilingual context in the educational field Tesis

    2023

    .(2023). Dimension reduction methods analysis in multilingual context in the educational field. Trabajo Dirigido por: Manrique R - 2023

  • Enhancing Face Anti-spoofing Systems Through Synthetic Image Generation Capítulo en Memoria

    2023

    Vega C, Manrique R. (2023) Enhancing Face Anti-spoofing Systems Through Synthetic Image Generation. Applied Informatics. ICAI 2023. Communications in Computer and Information Science Applied Informatics. ICAI 2023. (ISBN 978-3-031-46812-4) Ecuador. - 2023

  • Estrategias para la generación sintética de imágenes y su aplicación a escenarios de aumentación de datos en el desarrollo de sistemas Face Anti-Spoofing Tesis

    2023

    .(2023). Estrategias para la generación sintética de imágenes y su aplicación a escenarios de aumentación de datos en el desarrollo de sistemas Face Anti-Spoofing. Trabajo Dirigido por: Manrique R - 2023

  • Graph neural networks vs. Traditional methods for recommending MOOC courses: a comparative analysis Tesis

    2023

    .(2023). Graph neural networks vs. Traditional methods for recommending MOOC courses: a comparative analysis. Trabajo Dirigido por: Manrique R - 2023

  • HABLA: A Dataset of Latin American Spanish Accents for Voice Anti-spoofing Capítulo en Memoria

    2023

    Tamayo P, Manrique R, Nunes B. (2023) HABLA: A Dataset of Latin American Spanish Accents for Voice Anti-spoofing. INTERSPEECH 2023 Proc. INTERSPEECH 2023 (ISBN 2958-1796) Colombia. - 2023

  • Implementation of active data Selection algorithms for data choosing in ASV systems Tesis

    2023

    .(2023). Implementation of active data Selection algorithms for data choosing in ASV systems. Trabajo Dirigido por: Manrique R - 2023

  • Improving autonomy and natural interaction with a Pepper robot through the evaluation of different large language models Tesis

    2023

    .(2023). Improving autonomy and natural interaction with a Pepper robot through the evaluation of different large language models. Trabajo Dirigido por: Manrique R - 2023

  • Leave No One Behind-A Massive Online Learning Platform Free for Everyone Capítulo en Memoria

    2023

    Alejandra, Lozano , Sanguino J, Manrique R. (2023) Leave No One Behind-A Massive Online Learning Platform Free for Everyone. Artificial Intelligence in Education Communications in Computer and Information Science (ISBN 978-3-031-36335-1) Japón. - 2023

  • Leveraging Natural Language Processing (NLP) and Large Language Models (LLM) to translate biomedical texts into plain language to improve health outcomes and reduce health disparities Tesis

    2023

    .(2023). Leveraging Natural Language Processing (NLP) and Large Language Models (LLM) to translate biomedical texts into plain language to improve health outcomes and reduce health disparities. Trabajo Dirigido por: Manrique R - 2023

  • Predicting student engagement using sequential ensemble model Artículo

    2023

    Tian X, Pereira B, Liu Y, Manrique R. (2023) Predicting student engagement using sequential ensemble model. IEEE Transactions on Learning Technologies (ISSN 1939-1382) 17 (-), pp. 939-950. - 2023

  • Recuperación Aumentada Generativa (RAG) para la creación de chatbot de dominio específico Tesis

    2023

    .(2023). Recuperación Aumentada Generativa (RAG) para la creación de chatbot de dominio específico. Trabajo Dirigido por: Manrique R - 2023

  • A COURSE HYBRID RECOMMENDER SYSTEM FOR LIMITED INFORMATION SCENARIO Artículo

    2022

    Sanguino J, Manrique R, Marino O, Linares-Vásquez M, N. Cardozo. (2022) A COURSE HYBRID RECOMMENDER SYSTEM FOR LIMITED INFORMATION SCENARIO. Journal of Educational Data Mining (ISSN 2157-2100) 14 (3), pp. 162-188. - 2022

  • A course recommendation system for limited information scenarios Tesis

    2022

    .(2022). A course recommendation system for limited information scenarios. Trabajo Dirigido por: Manrique R - 2022

  • Analítica del aprendizaje sobre plataforma Senecode Tesis

    2022

    .(2022). Analítica del aprendizaje sobre plataforma Senecode. Trabajo Dirigido por: Manrique R - 2022

  • Log mining for course recommendation in limited information scenarios Capítulo en Memoria

    2022

    Sanguino J, Manrique R, Marino O, Linares-Vásquez M, N. Cardozo. (2022) Log mining for course recommendation in limited information scenarios. International Conference on Educational Data Mining Conference on Educational Data Mining (ISBN 978-1-7336736-3-1) Inglaterra. - 2022

  • Machine translation strategies for low-resource colombian indigenous languages Tesis

    2022

    .(2022). Machine translation strategies for low-resource colombian indigenous languages. Trabajo Dirigido por: Manrique R - 2022

  • Voice anti-spoofing data-set built from Latin American Spanish accents implementing voice conversion and text-to-speech techniques Tesis

    2022

    .(2022). Voice anti-spoofing data-set built from Latin American Spanish accents implementing voice conversion and text-to-speech techniques. Trabajo Dirigido por: Manrique R - 2022

  • RIP Emojis and Words to Contextualize Mourning on Twitter Capítulo en Memoria

    2021

    Xu X, Manrique R, Nunes B. (2021) RIP Emojis and Words to Contextualize Mourning on Twitter. 32nd ACM Conference on Hypertext and Social Media Proceedings of the 32nd ACM Conference on Hypertext and Social Media (ISBN 9781450385510) Irlanda. - 2021

  • A Little Knowledge is a Dangerous Thing: A method to automatically detect knowledge compartmentalization and oversimplification Capítulo en Memoria

    2020

    Kelle C, Nunes B, Siquiera S, Manrique R. (2020) A Little Knowledge is a Dangerous Thing: A method to automatically detect knowledge compartmentalization and oversimplification. IEEE 20th International Conference on Advanced Learning Technologies 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT) (ISBN 2161-377X) Tartu, Estonia. - 2020

  • An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout Capítulo en Memoria

    2019

    Marino O, Manrique R, Nunez B.. (2019) An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout. 9th International Conference on Learning Analytics & Knowledge (LAK19) Proceedings of the 9th International Conference on Learning Analytics & Knowledge (ISBN 978-1-4503-6256-6) Estados Unidos. - 2019

  • Prerequisite Identification via Knowledge Graphs Tesis

    2019

    Manrique R .(2019). Prerequisite Identification via Knowledge Graphs. Trabajo Dirigido por: Marino O - 2019

  • Towards Automatic Learning Resources Organization via Knowledge Graphs Tesis

    2019

    Manrique R .(2019). Towards Automatic Learning Resources Organization via Knowledge Graphs. Trabajo Dirigido por: Marino O - 2019

  • Towards the identification of concept prerequisites via Knowledge Graphs Artículo

    2019

    Manrique R, Marino O, N. Cardozo. (2019) Towards the identification of concept prerequisites via Knowledge Graphs. 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) (ISSN 2161-3761) 1 (N/A), pp. 232-236. - 2019

  • Comparing graph similarity measures for semantic representations of documents Artículo

    2018

    Marino O, Manrique R. (2018) Comparing graph similarity measures for semantic representations of documents. Communications in Computer and Information Science (ISSN 1865-0929) 885 (-), pp. 162-176. - 2018

  • Investigating learning resources precedence relations via concept prerequisite learning Capítulo en Memoria

    2018

    Manrique R, Sosa J, Marino O, Nunes B, N. Cardozo. (2018) Investigating learning resources precedence relations via concept prerequisite learning . Web Intelligence 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (ISBN 978-1-5386-7325-6) Santiago, Chile. - 2018

  • Knowledge graph-based core concept identification in learning resources Artículo

    2018

    Manrique R, Marino O. (2018) Knowledge graph-based core concept identification in learning resources. Lecture Notes in Computer Science (ISSN 0302-9743) 11341 LNCS (-), pp. 36-51. - 2018

  • Knowledge graph-based teacher support for learning material authoring Artículo

    2018

    Grévisse C, Manrique R, Marino O, Rothkugel S. (2018) Knowledge graph-based teacher support for learning material authoring. Communications in Computer and Information Science (ISSN 1865-0929) 885 (-), pp. 177-191. - 2018

  • How does the size of a document affect Linked Open Data user modeling Strategies. Capítulo en Memoria

    2017

    Manrique R, Marino O. (2017) How does the size of a document affect Linked Open Data user modeling Strategies.. 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017) Proceedings of the International Conference on Web Intelligence (ISBN 978-1-4503-4951-2) Alemania. - 2017

  • Dataset para la recomendación de documentos académicos OTHERTRANSFERPRODUCTION

    2017

  • Diversified semantic query reformulation Artículo

    2017

    Manrique R, Marino O. (2017) Diversified semantic query reformulation. Lecture Notes in Computer Science (ISSN 0302-9743) 786 (-), pp. 23-37. - 2017

  • Doctoral Consortium: Automatic Learning Content Sequence via Linked Open Data OTHERPUBLICATION

    2017

  • Exploring the use of linked open data for user research interest modeling Artículo

    2017

    Manrique R, Herazo O, Marino O. (2017) Exploring the use of linked open data for user research interest modeling. Communications in Computer and Information Science (ISSN 1865-0929) 735 (-), pp. 3-16. - 2017

  • Towards Automatic Learning Content Sequence via Linked Open Data Capítulo en Memoria

    2017

    Manrique R. (2017) Towards Automatic Learning Content Sequence via Linked Open Data. 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Proceedings of the International Conference on Web Intelligence (ISBN 978-1-4503-4951-2) Leipzig, Alemania. - 2017

  • Personalización en escenarios E-learning y el rol de los sistemas de recomendación Artículo

    2016

    Manrique R, Marino O. (2016) Personalización en escenarios E-learning y el rol de los sistemas de recomendación. innova-TE 330: investigando la innovación con TIC en educación (ISSN 2500-7521) 1 (-), pp. 140-145. - 2016

2019-10

MATEMÁTICA ESTRUCTURAL Y LÓGIC

2021-10

MATEMÁTICA ESTRUCTURAL Y LÓGIC

PROCESAMIENTO LENGUAJE NATURAL

2021-20

MATEMÁTICA ESTRUCTURAL Y LÓGIC

DISEÑO Y ANÁLISIS DE ALGORI.

2022-10

PROYECTO DE GRADO

DISEÑO Y ANÁLISIS DE ALGORI.

SEMANTIC WEB

2022-19

PROCESAMIENTO LENGUAJE NATURAL

2022-20

PROYECTO DE GRADO

MACHINE LEARNING TECHNIQUES

DISEÑO Y PROGRAMACIÓN O.O.

DISEÑO Y ANÁLISIS DE ALGORI.

2023-10

DISEÑO Y ANÁLISIS DE ALGORI.

PROYECTO DE GRADO

SEMANTIC WEB

DISEÑO Y PROGRAMACIÓN O.O.

2023-14

INTR. INTELIG. ARTIF. CONTEMP.

2023-18

MASTERING MACH LEARN GENER MOD

2023-20

DISEÑO Y PROGRAMACIÓN O.O.

PROYECTO DE GRADO

DISEÑO Y ANÁLISIS DE ALGORI.

PROCESAMIENTO LENGUAJE NATURAL

2024-10

MACHINE LEARNING TECHNIQUES

DISEÑO Y ANÁLISIS DE ALGORI.

PROYECTO DE GRADO

DISEÑO Y PROGRAMACIÓN O.O.

SEMANTIC WEB

2024-11

INTR. INTELIG. ARTIF. CONTEMP.

2024-14

FUND. DE PROCESAMIENTO DE LN

INTR. INTELIG. ARTIF. CONTEMP.

2024-15

MODELOS AVANZADOS PROCES. LN

2024-20

DISEÑO Y PROGRAMACIÓN O.O.

PROYECTO DE GRADO

PROCESAMIENTO LENGUAJE NATURAL

DISEÑO Y ANÁLISIS DE ALGORI.