Ceballos, H. G.; Garza, S. E. & Cantú, F. J. Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks. Scientometrics, 2018, 114, 181-216.JCR. Keywords: community detection (graph clustering), collaboration networks [PDF post-peer-review, pre-copyedit version][Springer link]
Escalante, H. J.; Villatoro-Tello, E.; Garza, S. E.; López-Monroy, A. P.; y Gómez, M. M. & Villaseñor-Pineda, L. Early detection of deception and aggressiveness using profile-based representations Expert Systems with Applications, 2017, 89, 99 - 111. DOI: 10.1016/j.eswa.2017.07.040 JCR. Keywords: aggressive text, profile-based representations. [Elsevier link]
Del Bosque, L. P. & Garza, S. E. Prediction of Aggressive Comments in Social Media: an Exploratory Study ,IEEE Latin America Transactions, 2016, Vol. 14, pp. 3474-3480. JCR. Keywords: aggressive text, classification, regression, machine learning. [IEEE link, free access]
Rodríguez, F. M.; Torres, L. M. & Garza, S. E. Followee recommendation in Twitter using fuzzy link prediction, Expert Systems, 2016, Vol. 33, pp. 349-361. DOI: 10.1111/exsy.12153. JCR. Keywords: fuzzy systems, neural networks, Twitter, social networks. This is the peer reviewed version of the following article: [PDF], which has been published in final form at [Wiley link]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Garza, Sara E. & Schaeffer Satu. Local Bilateral Clustering for Identifying Research Groups and Topics in Bibliographical Data, Knowledge and Information Systems, 2015, Vol. 48, pp. 179-199. DOI: 10.1007/s10115-015-0867-y. JCR. Keywords: graph clustering, scientific collaboration networks, text analysis. [PDF post-peer-review, pre-copyedit version][Springer link]
Cordero Cruz, J.; Garza, S. E. & Schaeffer, S. Traina, A.; Traina Caetano, J. & Cordeiro, R. (Eds.) Entity Recognition for Duplicate Filtering. Similarity Search and Applications, Springer International Publishing, 2014, 8821, pp. 253-264. Keywords: entity recognition, duplicate recognition, natural language processing, machine learning. [Springer link] [PDF (pre-print)] [BibTeX]
Del Bosque, L. & Garza, S. Gelbukh, A.; Espinoza, F. & Galicia-Haro, S. (Eds.) Aggressive Text Detection for Cyberbullying. Human-Inspired Computing and Its Applications, Springer International Publishing, 2014, 8856, pp. 221-232. Keywords: cyberbullying, text mining, fuzzy logic, machine learning. [Springer link] [PDF (pre-print)] [BibTeX]
Garza, S. E. & Torres, F. Expertise Assessment: A Quantitative Approach Using Natural Semantic Networks. Daena: International Journal of Good Conscience, 2014, 9, pp. 76-85. Keywords: natural semantic networks, similarity, bipartite graphs, expertise. [Access to PDF] [BibTeX]
Torres, F. & Garza, S. E. Traina, A. J. M.; Traina Caetano, J. & Cordeiro, R. L. F. (Eds.) Similarity for Natural Semantic Networks. Similarity Search and Applications, Springer International Publishing, 2014, 8821, pp. 195-200. Keywords: natural semantic networks, similarity, bipartite graphs, feature vectors. [Springer link] [PDF (eprints)] [BibTeX]
Torres-Guerrero, F. & Garza, S. E. Visualización de Redes Semánticas Naturales a través de Acomodo de Grafos Dirigido por Fuerzas. Daena: International Journal of Good Conscience, 2014, 9, pp. 68-75. Keywords: redes semánticas naturales, visualización, grafos, acomodo por fuerzas.[Access to PDF] [BibTeX]
Urbina-Coronado, S. C.; Schaeffer, S. E. & Garza-Villarreal, S. E. Berthet, L. E.; Chimal, J. C.; Santos, E. A. & Castillo, E. (Eds.) A visual aid on the ecological impact of products for online retail. Advances in Computing Science, 2014, 81, pp. 103-112. Keywords: Web, plugin, ecología, compras en línea, visualización. [BibTeX]
Soria, D. J. R.; Schaeffer, S. E. & Garza-Villarreal, S. E. Hand-gesture recognition using computer-vision techniques. Proceedings of the 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG '2013) Communications papers, 2013, pp. 1-8. Keywords: gesture recognition, computer vision, pattern recognition.
Garza, S. E. & Brena, R. F. Structural Topic Mining in Web Collections. Applied and Computational Mathematics, 2012, Vol. 11, pp. 271-285. JCR. Keywords: topic mining, graph clustering, Wikipedia. [Link]
Garza, S. E. & Brena, R. F. Brena, R. F. & Arenas, A. G. (Eds.) Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications. Topic Discovery in Web Collections via Graph Local Clustering. IGI Global, 2012, pp. 228-253. Book chapter. Keywords: topic mining, graph clustering, Wikipedia.
Schaeffer, S. E. & Garza, S. E. Generation of realistic benchmark instances with known optima for grid scheduling. Proceedings of the 2012 Third International Supercomputing Conference in Mexico, 2012. Keywords: Scheduling, instances, optimization.
Garza Villarreal, S. & Brena, R. Batyrshin, I. & Sidorov, G. (ed.) Topic Mining Based on Graph Local Clustering. Advances in Soft Computing, Springer Berlin / Heidelberg, 2011, 7095, pp. 201-212. Best student paper (1st. place) en MICAI 2011. [PDF (eprints)] Keywords: topic mining, graph clustering, Wikipedia.
Garza, S. E. & Schaeffer, S. E. Análisis estructural de redes de colaboración científica. Memorias del VII Congreso de Ingeniería Industrial y de Sistemas, 2011, pp. 246-257. Keywords: collaboration networks, complex network analysis, bipartite graphs, graph clustering.
Garza, S. A Process for Extracting Groups of Thematically Related Documents in Encyclopedic Knowledge Web Collections by Means of a Pure Hyperlink-based Clustering Approach. Instituto Tecnológico y de Estudios Superiores de Monterrey, 2010. PhD Thesis. Mejor tesis de doctorado en el Área de Tecnologías de Información en el 43 Congreso de Investigación del Tec de Monterrey y Mejor tesis en ANIEI 2011. Keywords: topic mining, data mining, complex network analysis, graph clustering, Wikipedia.
Garza, S. & Brena, R. Graph Local Clustering for Topic Detection in Web Collections. 2009 Latin American Web Congress, 2009, 207-213. Best paper award (1st. place). Keywords: topic mining, data mining, complex network analysis, agrupamiento de grafos, Wikipedia.
Garza, S.; Elizalde, L. & Canseco, A. Clustering Hyperlinks for Topic Extraction: An Exploratory Analysis. Proceedings of the 2009 Eighth Mexican International Conference on Artificial Intelligence, 2009, 128-133. Keywords: principal component analysis, graph clustering, Wikipedia.
Garza, S.; Brena, R. & Ramirez, E. Topic Calculation and Clustering: An Application to Wikipedia. Proceedings of the 2008 Seventh Mexican International Conference on Artificial Intelligence-Volume 00, 2008, pp. 88-93. Keywords: topic mining, text mining, Wikipedia.
Garza, S. & Aguirre, J. Gelbukh, A. & Kuri Morales, A. (eds.) Just-in-Time Monitoring of Project Activities Through Temporal Reasoning. MICAI 2007: Advances in Artificial Intelligence, Springer Berlin / Heidelberg, 2007, 4827, pp. 381-391. JCR 2007.Keywords: temporal reasoning, temporal algebra, activity network, interval graph.
Villarreal, S. & Cervantes, J. INTEGRATING MULTIAGENT BASED KNOWLEDGE AND INFORMATION DISTRIBUTION SYSTEMS AND TEMPORAL REASONING FOR DETECTION OF TEMPORAL DISCREPANCIES IN PROJECT ACTIVITIES. Proceedings of the 2007 IADIS Multi Conference on Computer Science and Information Systems, 2007, pp. 149-153. Keywords: temporal reasoning, temporal algebra, activity network, interval graph.
Garza, S. E. Razonamiento Temporal Aplicado al Monitoreo con Respecto al Tiempo en el Desarrollo de Actividades de un Proyecto. ITESM, Campus Monterrey, 2006. Master's thesis. Keywords: temporal reasoning, temporal algebra, activity network, interval graph.
UpI wish to thank all the programs and institutions who have been responsible for our funding (either directly or indirectly); without their support, this would be much harder. Students interested on participating in a research project, please e-mail me (saraelena@gmail.com).
An adaptive assistant for intelligent green consumption. Apoyo para el Fortalecimiento de los Cuerpos Académicos (PROMEP). Amount approved: $280,000 MXN. Sept. 2013 - Aug. 2014 (closed).
Identification of Experts, Groups, and Research Topics in Digital Repositories by means of Local Clustering and Data Mining. Apoyo de fomento a la generación y aplicación innovadora del conocimiento (PROMEP). Amount approved: $98,500 MXN Oct. 2012 - Sept. 2013 (closed).
Automatic Detection and Analysis of Research Groups and Topics in Digital Repositories by means of Local Clustering and Data Mining. Programa de Apoyos Complementarios para la Consolidación Institucional de Grupos de Investigación, Modalidad Retención (CONACYT). Amount approved: $15,000 MXN (funding for equipment). Aug. 2010 - Aug. 2011 (closed).
PROMEP (now PRODEP) is a Mexican program that supports and stimulates faculty development in public institutions. CONACYT, the National Council for Science and Technology, supports researchers and projects for science development in Mexico.
Note: The approved amounts only include funding directly usable for the project.
UpCarrillo López, Juan David. Clasificación de texto agresivo en redes sociales. FIME-UANL, 2016. Keywords: machine learning, text mining, aggressive text
Soto Velázquez, Jesús Antonio. Homomorphic encryption in the cloud. FIME-UANL, 2015. Keywords: security, cloud computing
Cordero Cruz, Jorge Alberto. Reconocimiento de entidades para filtrado de duplicados. FIME-UANL, 2014. Co-directed with Satu Elisa Schaeffer. Keywords: natural language processing, named entity recognition
Rodríguez Aldape, Fernando Manuel. Cuantificación del Interés de un Usuario en un Tema mediante Minería de Texto y Análisis de Sentimiento. FIME-UANL, 2013. Keywords: text mining, sentiment analysis
Olivares Arredondo, Rafael. Construcción de Perfiles de Usuario a Partir de Repositorios de Información Personal. FIME-UANL, 2013. Keywords: text mining, user profiles
Del Bosque Vega, Laura Patricia. Detección automática de ciberacoso en redes sociales. FIME-UANL, 2017. Keywords: text mining, sentiment analysis
Go upDuring the summer of 2008, I had the privilege of doing an internship at Microsoft Research in the campus located at Redmond, WA. I was part of the MSR LATAM program -- where my generation was the first one to include women -- and had the opportunity of working with the Natural Language Processing (NLP) group, where Lucy Vanderwende was my mentor. My research during the internship was focused on (automatic) Web page summarization.
