Research

Selected publications

Andrés Segura-Tinoco and Iván Cantador. 2023. Dimensionality Reduction for Machine Learning-based Argument Mining. In Proceedings of the 10th Workshop on Argument Mining, pages 89–99, Singapore. Association for Computational Linguistics.
María E. Cortés-Cediel, Andrés Segura-Tinoco, Iván Cantador, and Manuel Pedro Rodríguez Bolívar. 2023. Trends and challenges of e-government chatbots: Advances in exploring open government data and citizen participation content. In Government Information Quarterly, Volume 40, Issue 4, 101877, ISSN 0740-624X, https://doi.org/10.1016/j.giq.2023.101877.
María del Pilar Villamil, Nubia Velasco, David Barrera, Andrés Segura-Tinoco, Oscar Bernal, and José Tiberio Hernández. 2023. Analytical reference framework to analyze non-COVID-19 events. In Population Health Metrics, Volume 21, Issue 16, https://doi.org/10.1186/s12963-023-00316-8.
Andrés Segura-Tinoco and Iván Cantador. 2023. ARGAEL: ARGument Annotation and Evaluation tooL. In SoftwareX, Volume 23, 101410, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2023.101410.

Andrés Segura-Tinoco, Óscar G. Borzdynski, and Iván Cantador. 2022. An Argument-based Search Framework: Implementation on a Spanish Corpus in the E-Participation Domain. In the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), July 4-7, 2022, Toulouse, France.
Andrés Segura-Tinoco, Andrés Holgado-Sánchez, Iván Cantador, María E. Cortés-Cediel, and Manuel Pedro Rodríguez Bolívar. 2022. A Conversational Agent for Argument-driven E-participation. In DG.O 2022: The 23rd Annual International Conference on Digital Government Research (dg.o 2022). Association for Computing Machinery, New York, NY, USA, 191–205. Best Research Paper Award 🎉

Andrés Segura-Tinoco. 2021. Argument-based generation and explanation of recommendations. In Fifteenth ACM Conference on Recommender Systems (RecSys ‘21). Association for Computing Machinery, New York, NY, USA, 845–850.
Andrés Segura-Tinoco and Iván Cantador. 2021. On the extraction and use of arguments in recommender systems: A case study in the e-participation domain. Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) & 5th Edition of Recommendation in Complex Environments (ComplexRec) Joint Workshop @ RecSys 2021, September 27–1 October 2021, Amsterdam, Netherlands.

Andrés Segura-Tinoco, Vladimir E. Cuevas, Marly J. Piedrahita, and William Rojas. 2019. Proof of concept of the feasibility of creating a model that uses Machine Learning techniques to generate virtual metering for oil wells. Master’s thesis in information engineering at the Universidad de los Andes, Bogotá, Colombia.
Vladimir E. Cuevas, Juan Carlos Oyuela, and Andrés Segura-Tinoco. 2018. You can really learn about sexuality through a MOOC!. In the Visual Analytics course at the Universidad de los Andes, Bogotá, Colombia.
Andrés Segura-Tinoco and Vladimir E. Cuevas. 2018. Co-Training implementation for objectivity detection. In Knowledge Discovery from Social and Information Networks course at the Universidad de los Andes, Bogotá, Colombia.
Andrés Segura-Tinoco and Johanna Orozco Cacique. 2017. Data analysis of patients at risk of presenting CHD using machine learning techniques. In Intelligent Systems Architecture course at the Universidad de los Andes, Bogotá, Colombia.
Andrés Segura-Tinoco. 2009. Development of an application for the compression of binary images using bidimensional cellular automata. Computer engineering thesis at Universidad de Oriente, Barcelona, Anzoátegui, Venezuela.