2025
Jeon, M. S., Mendoza, M., Fernández, M., Providel, E., Rodríguez, F., Espina, N., Carvallo, A., & Abeliuk, A. (2025). Simulating conversations on social media with generative agent-based models. EPJ Data Science, 14(79). https://doi.org/10.1140/epjds/s13688-025-00531-1
Altermatt, F., Neyem, A., Sumonte, N., Villagrán, I., Mendoza, M., Lacassie, H., Delfino, A. (2025). Evaluating GPT-4o in high-stakes medical assessments: performance and error analysis on a Chilean anesthesiology exam, BMC Medical Education, vol. 25, art. num. 1499. https://doi.org/10.1186/s12909-025-08084-9
García-Varela, F., Nussbaum, M., Mendoza, M., Martínez-Troncoso, C., Bekerman, Z. (2025). ChatGPT as a stable and fair tool for Automated Essay Scoring. Education Sciences, 15(8). https://doi.org/10.3390/educsci15080946
Providel, E., Mendoza, M., Solar, M. (2025). Cross-Lingual Cross-Domain Transfer Learning for Rumor Detection. Future Internet, 17(7), 287. https://doi.org/10.3390/fi17070287
Altermatt, F. R., Neyem, A., Sumonte, N. I., Villagrán, I., Mendoza, M., Lacassie, H. J. (2025). Evaluating the Performance of Large Language Models on the CONACEM Anesthesiology Certification Exam: A Comparison with Human Participants. Applied Sciences, 15(11), 6245. https://doi.org/10.3390/app15116245
Altermatt, F. R., Neyem, A., Sumonte, N., Mendoza, M., Villagrán, I., Lacassie, H. (2025). Performance of single-agent and multi-agent language models in Spanish language medical competency exams. BMC Medical Education, 25, 666. https://doi.org/10.1186/s12909-025-07250-3
García-Varela, F., Bekerman, Z., Nussbaum, M., Mendoza, M., Montero, J. (2025). Reducing interpretative ambiguity in an educational environment with ChatGPT. Computers & Education, 225, 105182. https://doi.org/10.1016/j.compedu.2024.105182
2024
Neyem, A., Rios-Letelier, A., Céspedes-Arancibia, K., Sandoval-Alcócer, J. P., Mendoza, M. (2024). Enhancing commit message quality in software capstone projects with generative AI. SoftwareX, 26, 101947. https://doi.org/10.1016/j.softx.2024.101947
Neyem, A., González, L., Mendoza, M., Sandoval, J. P., Centellas, L., Paredes, C. (2024). Toward an AI Knowledge Assistant for Context-Aware Learning Experiences in Software Capstone Project Development. IEEE Transactions on Learning Technologies, 17, 1639–1654. https://doi.org/10.1109/TLT.2024.3396735
Reyes, A., Mendoza, M., Vera, C., Lucchini, F., Dimter, J., Gutiérrez, F., Bro, N., Lobel, H., Reyes, A. (2024). SpatialCluster: A Python library for urban clustering. SoftwareX, 26, 101739. https://doi.org/10.1016/j.softx.2024.101739
Mendoza, M., Providel, E., Santos, M., Valenzuela, S. (2024). Detection and impact estimation of social bots in the Chilean Twitter network. Scientific Reports, 14, 6525. https://doi.org/10.1038/s41598-024-57227-3
Valenzuela, S., Núñez-Mussa, E., Padilla, F., Providel, E., Campos, S., Bassi, R., Riquelme, A., Aldana, V., Mendoza, M. (2024). The Threat of Misinformation on Journalism’s Epistemology: Exploring the Gap between Journalistic and Audience Expectations when Facing Fake Content. Digital Journalism, 1–22. https://doi.org/10.1080/21670811.2024.2320249
2023
Mendoza, M., Valenzuela, S., Núñez-Mussa, E., Padilla, F., Providel, E., Campos, S., Bassi, R., Riquelme, A., Aldana, V., López, C. (2023). A Study on Information Disorders on Social Networks during the Chilean Social Outbreak and COVID-19 Pandemic. Applied Sciences, 13(9), 5347. https://doi.org/10.3390/app13095347
2022
Vera, C., Lucchini, F., Bro, N., Mendoza, M., Lobel, H., Gutiérrez, F., Dimter, J., Cuchacovic, G., Reyes, A., Valdivieso, H., Alvarado, N., Toro, S. (2022). Learning to clusterize urban areas: two competitive approaches and an empirical validation. EPJ Data Science, 11(1). https://doi.org/10.1140/epjds/s13688-022-00374-2
2021
Mendoza, M. (2021). Differences in citation patterns across areas, article types and age groups of researchers. Publications, 9(4), 47. https://doi.org/10.3390/publications9040047
Mendoza, M., Bro, N. (2021). Predicting affinity ties in a surname network. PLoS ONE, 16(9), e0256603. https://doi.org/10.1371/journal.pone.0256603
Sotomayor, C. G., Mendoza, M., Castañeda, V., Farías, H., Pereira, G., Härtel, S., Solar, M., Araya, M., Molina, G. (2021). Content-based medical image retrieval and intelligent interactive visual browser for medical education, research and care. Diagnostics, 11(8), 1470. https://doi.org/10.3390/diagnostics11081470
Ormeño, P., Mendoza, M., Valle, C. (2021). Topic Models Ensembles for AD-HOC Information Retrieval. Information, 12(9), 360. https://doi.org/10.3390/info12090360
Providel, E., Mendoza, M. (2021). Misleading information in Spanish: a survey. Social Network Analysis and Mining, 11, 36. https://doi.org/10.1007/s13278-021-00746-y
Bro, N., Mendoza, M. (2021). Surname affinity in Santiago, Chile: A network-based approach that uncovers urban segregation. PLoS ONE, 16(1), e0244372. https://doi.org/10.1371/journal.pone.0244372
2020
Mendoza, M., Tesconi, M., Cresci, S. (2020). Bots in Social and Interaction Networks: Detection and Impact Estimation. ACM Transactions on Information Systems (TOIS), 39(1), 5:1–5:32. https://doi.org/10.1145/3419369
Mendoza, M., Parra, D., Soto, Á. (2020). GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media. Information Processing & Management, 57(6), 102366. https://doi.org/10.1016/j.ipm.2020.102366
2019
Zamora, J., Allende-Cid, H., Mendoza, M. (2019). Distributed clustering of text collections. IEEE Access, 7(1). https://doi.org/10.1109/ACCESS.2019.2949455
Guellil, I., Azouaou, F., Mendoza, M. (2019). Arabic sentiment analysis: Studies, resources, and tools. Social Network Analysis and Mining, 9(1), 56.
Torres, N., Mendoza, M. (2019). Clustering approaches for Top-K recommender systems. International Journal of Artificial Intelligence Tools, 28(5), 1–27.
Mendoza, M., Poblete, B., Valderrama, I. (2019). Nowcasting earthquake damages with Twitter. EPJ Data Science, 8, 3. https://doi.org/10.1140/epjds/s13688-019-0181-0
2018
Araya, M., Mendoza, M., Solar, M., Mardones, D., Bayo, A. (2018). Unsupervised learning of structure in spectroscopic cubes. Astronomy and Computing, 24, 25–35.
2016
Guevara, M., Hartmann, D., Mendoza, M. (2016). Diverse: An R package to measure diversity in complex systems. R Journal, 8(2), 60–78.
Guevara, M., Hartmann, D., Aristarán, M., Mendoza, M., Hidalgo, C. (2016). The Research Space. Scientometrics, 109(3), 1695–1709.
Zamora, J., Mendoza, M., Allende, H. (2016). Hashing-based clustering in high dimensional data. Expert Systems with Applications, 62, 202–211.
Mendoza, M., Marín, M., Gil-Costa, V., Ferrarotti, F. (2016). Reducing hardware hit by queries in web search engines. Information Processing & Management, 52(6), 1031–1052.
Araya, M., Candia, G., Gregorio, R., Mendoza, M., Solar, M. (2016). Indexing data cubes for content-based searches in Radio Astronomy. Astronomy and Computing, 14, 23–34.
2014
Bravo-Márquez, F., Mendoza, M., Poblete, B. (2014). Meta-level sentiment models for big social data analysis. Knowledge-Based Systems, 69, 86–99.
Zamora, J., Mendoza, M., Allende, H. (2014). Query intent detection based on query log mining. Journal of Web Engineering, 13(1–2), 24–52.
2013
Castillo, C., Mendoza, M., Poblete, B. (2013). Information credibility in time-sensitive social media. Internet Research, 23(5), 560–588.
2012
Mendoza, M. (2012). A new term-weighting scheme for naive Bayes text categorization. International Journal of Web Information Systems, 8(1), 55–72.
2011
Hurtado, C., Mendoza, M. (2011). Automatic maintenance of web directories by mining web browsing data. Journal of Web Engineering, 10(2), 153–173.
Mendoza, M., Ortiz, I., Rojas, V. (2011). Categorización de texto, Revista SIGNOS, 44(76), 1–31.
2007
Baeza-Yates, R., Hurtado, C., Mendoza, M. (2007). Improving search engines by query clustering. JASIST, 58(12), 1793–1804.
Conferencias internacionales
2025
Rodríguez, F., Mendoza, M. (2025). LogitRouter: a novel Attention variant for reducing Myopic Routing in Mixture of Experts. INLG 2025, Hanoi, Vietnam.
Saldías, B., Parra, D., Mendoza, M., Cádiz, R. (2025). Generative Variational Autoencoder model of musical scales based on Slominsky’s thesaurus. AIMC 2025, Brussels, Belgium.
Carvallo, A., Mendoza, M., Fernández, M., Ojeda, M., Guevara, L., Varela, D., Bórquez, M., Buzeta, N., Ayala, F. (2025). Hate Explained: Evaluating NER-Enriched Text in Human and Machine Moderation of Hate Speech. WOAH @ ACL 2025, Vienna, Austria.
Fernández, M., Santos, M., Riquelme, A., Vogel, M., Mendoza, M. (2025). Assessing the Relevance of Categories of Annotated Text to Identify and Measure Persuasion Techniques. ICOMTA 2025, Valdivia, Chile.
Muñoz, C., Mendoza, M., Lobel, H., Keith, B. (2025). Imitating human reasoning to extract 5W1H in news. TheWebConf/WWW 2025, Sydney, Australia. CORE A*
2024
Fernández, M., Ojeda, M., Guevara, L., Varela, D., Mendoza, M., Barrón-Cedeño, A. (2024). VICTOR VECTORS @ DIPROMATS 2024: Propaganda Detection with LLM Paraphrasing and Machine Translation. IberLEF 2024, SEPLN, Valladolid, España.
Muñoz, C., Apolo, M. J., Ojeda, M., Lobel, H., Mendoza, M. (2024). News Gathering: Leveraging Transformers to Rank News. ECIR 2024 (LNCS 14610), Glasgow, Scotland, pp. 486–493. https://doi.org/10.1007/978-3-031-56063-7_41 CORE A
Neyem, A., Sandoval, J. P., Mendoza, M., Centellas-Claros, L., González, L., Paredes-Robles, C. (2024). Exploring the Impact of Generative AI for StandUp Report Recommendations in Software Capstone Project Development. ACM SIGCSE 2024, Portland, OR, USA. https://doi.org/10.1145/3626252.3630854 CORE A
2023
Apolo, M. J., Mendoza, M. (2023). Bimodal Style Transference from Musical Composition to Image Using Deep Generative Models. HCI Int’l 2023 (LNCS), pp. 229–240.
Gutiérrez, D., Mendoza, M. (2023). Bimodal Neural Style Transfer for Image Generation Based on Text Prompts. HCI Int’l 2023 (LNCS), pp. 379–390.
2022
Beaudry, I., Mendoza, M., Bro, N., Sepúlveda, F., Sarmiento, H. (2022). Distance-Dependent Bayesian Community Detection: A Multidimensional Node-Attributed Network Model. Complex Networks 2022, Palermo, Italy.
Providel, E., Toro, D., Riquelme, F., Mendoza, M., Puraivan, E. (2022). CLNews: the first dataset of the Chilean social outbreak for disinformation analysis. CIKM 2022, Atlanta, GA, USA. https://doi.org/10.1145/3511808.3557560 CORE A
Araujo, V., Carvallo, A., Kundu, S., Cañete, J., Mendoza, M., Mercer, R. E., Bravo-Marquez, F., Moens, M.-F., Soto, A. (2022). Evaluation Benchmarks for Spanish Sentence Representations. LREC 2022, Marseille, France.
Zapata, A., Providel, E., Mendoza, M. (2022). Empirical evaluation of machine learning ensembles for rumor detection. HCII 2022 (LNCS 13315). https://doi.org/10.1007/978-3-031-05061-9_30
2021
Araujo, V., Villa, A., Mendoza, M., Moens, M.-F., Soto, A. (2021). Augmenting BERT-style Models with Predictive Coding to Improve Discourse-Level Representations. EMNLP 2021. https://doi.org/10.18653/v1/2021.emnlp-main.240 CORE A*
Mendoza, M., Lobel, H., Bro, N., Gutiérrez, F., Lucchini, F., Valdivieso, H., Vera, C. (2021). Finding neighborhoods in Santiago, Chile: a graph neural network approach to urban cluster detection. Urban Complex Systems (workshop), 27 Oct 2021.
Mendoza, M., Tesconi, M., Cresci, S. (2021). Bots in Social and Interaction Networks: Detection and Impact Estimation (TOIS invited talk). SIGIR 2021. CORE A*
Aspillaga, C., Mendoza, M., Soto, A. (2021). Inspecting the concept knowledge graph encoded by modern language models. Findings of ACL-IJCNLP 2021. https://doi.org/10.18653/v1/2021.findings-acl.263 CORE A*
Mendoza, M., Bro, N. (2021). Knowledge graph completion predicts the mean SES of surnames from their position in the Santiago, Chile surname network. Networks 2021 (Sunbelt + NetSci).
Tampe, I., Mendoza, M., Milios, E. (2021). Neural abstractive unsupervised summarization of online news discussions. IntelliSys 2021 (Springer AISC). https://doi.org/10.1007/978-3-030-82196-8_60
Ruiz, S., Providel, E., Mendoza, M. (2021). Fake news detection via English-to-Spanish translation: Is it really useful? HCII 2021 (LNCS 12774). https://doi.org/10.1007/978-3-030-77626-8_9
Weiss, F., Mendoza, M., Milios, E. (2021). Time series classification for rumor detection. ICPRS 2021 (IET). https://doi.org/10.1049/icp.2021.1466
Molina, G., Mendoza, M., Loayza, I., Nuñez, C., Araya, M., Castañeda, V., Solar, M. (2021). A new content-based image retrieval system for SARS-CoV-2 computer-aided diagnosis. MICAD 2021 (Springer).
Silva, A., Mendoza, M. (2021). A data-driven strategy to combine word embeddings in information retrieval. NIAI 2021, Zurich, Switzerland.
2020
Bro, N., Mendoza, M. (2020). Paternal-maternal surname networks reveal the population structure of Santiago, Chile. Complex Networks 2020, Madrid, Spain.
Silva, A., Mendoza, M. (2020). Improving query expansion strategies with word embeddings. ACM DocEng 2020, San Jose, CA, USA.
Providel, E., Mendoza, M. (2020). Using Deep Learning to Detect Rumors in Twitter. HCII 2020 (LNCS 12194).
Solar, M., Araya, M., Cockbaine, J., Castañeda, V., Mendoza, M. (2020). An Interoperable Repository of Clinical Data. ICEDEG 2020, Buenos Aires, Argentina.
2019
Bugueño, M., Mendoza, M. (2019). Learning to detect online harassment on Twitter with the transformer. SIMAH @ ECML-PKDD 2019, Würzburg, Germany. CORE A
Bugueño, M., Mendoza, M. (2019). Applying self-attention for stance classification. CIARP 2019 (LNCS 11896), pp. 51–61.
Guellil, I., Azouaou, F., Mendoza, M. (2019). Arabic dialect sentiment analysis with ZERO effort. Case study: Algerian dialect. PACLIC 33, Hakodate, Japan.
Bugueño, M., Sepúlveda, G., Mendoza, M. (2019). An empirical analysis of rumor detection on microblogs with recurrent neural networks. SCSM 2019 (LNCS 11578). CORE B
Mendoza, M., Poblete, B., Valderrama, I. (2019). Estimating ground shaking regions with social media propagation trees. SCSM 2019 (LNCS 11578).
2018
Torres, N., Mendoza, M. (2018). Creating high-level content descriptors for recommender systems datasets. SCCC 2018.
Mendoza, M., Ormeño, P., Valle, C. (2018). Ad-hoc information retrieval based on boosted latent Dirichlet allocated topics. SCCC 2018.
Mendoza, M., Poblete, B., Valderrama, I. (2018). Early tracking of people’s reaction in Twitter for fast reporting of damages in the Mercalli scale. SCSM 2018 (LNCS 10914). CORE B
Solar, M., Araya, M., Mardones, D., Arévalo, L., Mendoza, M., Valenzuela, C., Hochfarber, T., Villanueva, M., Jara, M., Simonsen, A. (2018). The ChiVO Library: Advanced Computational Methods for Astronomy. ASP Conf. Series 2018.
Mendoza, M., Ormeño, P., Valle, C. (2018). Boosting Text Clustering using Topic Selection. ICPRS 2018.
2017
Zamora, J., Allende-Cid, H., Mendoza, M. (2017). A distributed shared nearest neighbors clustering algorithm. CIARP 2017.
Torres, N., Mendoza, M. (2017). Clustering approaches for Top-N Recommender Systems. LSRS 2017 (workshop).
Espinoza, I., Mendoza, M., Ortega, P., Rivera, D., Weiss, F. (2017). Viscovery: a platform for trend tracking in opinion forums. WISDOM 2017 (KDD workshop).
Mendoza, M., Barrientos, A., Araya, M., Solar, M. (2017). Mixed membership models for source separation of spectral lines. ICPRS 2017.
2016
Hurtado, J., Mendoza, M., Ñanculef, R. (2016). Boosting spLSA for text classification. CIARP 2016.
Mendoza, M., Barrientos, A., Araya, M., Solar, M. (2016). Scaling up data cube indexing services for content-based searches in the Chilean Virtual Observatory. ADASS 2016.
Mendoza, M., Torres, N. (2016). A Bray-Curtis Strategy for Boosting Product Recommendation. ICPRS 2016 (IET).
Castillo, C., de Francisci Morales, G., Mendoza, M., Khan, N. (2015). Automatic Analysis of Television News: Media, People, Framing and Bias. ICCSS 2015, Helsinki, Finland.
2014
Estrada, M., Mendoza, M. (2014). Affinity Prediction in Online Social Networks. 6th Chilean Conference on Pattern Recognition (IET), Talca, Chile.
2013
Guevara, M., Mendoza, M. (2013). Revealing comparative advantages in the backbone of science. Computational Scientometrics Workshop @ CIKM 2013, San Francisco, USA.
Castillo, C., de Francisci Morales, G., Mendoza, M., Khan, N. (2013). Says who? Automatic text-based content analysis of television news. ACM Workshop on Mining Unstructured Big Data Using NLP @ CIKM 2013, San Francisco, USA. CORE A
Bravo-Márquez, F., Mendoza, M., Poblete, B. (2013). Combining strengths, emotions and polarities for boosting Twitter sentiment analysis. WISDOM @ KDD 2013, Chicago, USA.
Mendoza, M., Bravo-Márquez, F., Poblete, B., Gayo-Avello, D. (2013). Long-memory time series ensembles for concept shift detection. BigMine @ KDD 2013, Chicago, USA.
Campos, R., Rojas, O., Marín, M., Mendoza, M. (2013). Distributed ontology-driven focused crawling. PDP 2013, Belfast, UK.
2012
Moltedo, C., Astudillo, H., Mendoza, M. (2012). Tagging tagged images: on the impact of existing annotations on image tagging. ACM Multimedia Workshop on Crowdsourcing, Nara, Japan.
Bravo-Márquez, F., Gayo-Avello, D., Mendoza, M., Poblete, B. (2012). Opinion dynamics of elections in Twitter. LA-WEB 2012, Cartagena de Indias, Colombia.
Becerra, C., Astudillo, H., Mendoza, M. (2012). Improving learning objects recommendation processes by using domain description models. LACLO 2012, Guayaquil, Ecuador.
Sanz, L., Allende, H., Mendoza, M. (2012). Text content reliability estimation in web documents: A new proposal. CICLing 2012, New Delhi, India. CORE A
2011
Poblete, B., Spiliopoulou, M., Mendoza, M. (2011). Query-Sets++: A Scalable Approach for Classifying and Clustering Web Sites. SPIRE 2011, Pisa, Italy (LNCS).
García, R., Poblete, B., Mendoza, M., Jaimes, A. (2011). Microblogging without borders: Differences and similarities. WebSci 2011, Koblenz, Germany.
Castillo, C., Mendoza, M., Poblete, B. (2011). Information credibility on Twitter. WWW 2011, Hyderabad, India. CORE A*
2010
Poblete, B., Bustos, B., Mendoza, M., Barrios, J. (2010). Visual-semantic graphs: Using queries to reduce the semantic gap in Web image retrieval. CIKM 2010, Toronto, Canada. CORE A
Becerra, C., Contreras, J., Mendoza, M., Astudillo, H. (2010). Enhancing learning objects metadata with indexing and categorization. LACLO 2010, São Paulo, Brazil.
Oyarzún, M., González, S., Mendoza, M., Chacón, M., Marín, M. (2010). A vector model for routing queries in web search engines. ICCS 2010, Amsterdam, The Netherlands.
Mendoza, M., Becerra, C. (2010). On the design of learning objects classifiers. ICALT 2010, Sousse, Tunisia.
Mendoza, M., Marín, M., Ferrarotti, F., Poblete, B. (2010). Learning to distribute queries onto web search nodes. ECIR 2010, Milton Keynes, UK (LNCS).
2009
Marín, M., Ferrarotti, F., Mendoza, M., Gómez-Pantoja, C., Gil-Costa, V. (2009). Location cache for web queries. CIKM 2009, Hong Kong, China. CORE A
Mendoza, M., Zamora, J. (2009). Identifying the intent of a user query using support vector machines. SPIRE 2009, Saariselkä, Finland (LNCS).
Ferrarotti, F., Marín, M., Mendoza, M. (2009). A Last Resort Semantic Cache for Web Queries. SPIRE 2009, Saariselkä, Finland (LNCS).
Mendoza, M., Zamora, J. (2009). Building decision trees to identify the intent of a user query. KES 2009, Santiago, Chile.
Mendoza, M., Guerrero, H., Farías, J. (2009). Inquiro.CL: a New Search Engine in Chile. WWW 2009 (Latin track), Madrid, Spain. CORE A*
2008
Mendoza, M., Baeza-Yates, R. (2008). A web search analysis considering the intention behind queries. LA-WEB 2008, Vila Velha, Brazil.
2006
Dupret, G., Mendoza, M. (2006). Automatic Query Recommendation using Click-Through Data. IFIP WCC 2006, Santiago, Chile (Springer).
Cid, A., Hurtado, C., Mendoza, M. (2006). Automatic maintenance of Web directories using Click-Through data. ICDE Workshops 2006, Atlanta, GA, USA (IEEE).
2005
Dupret, G., Mendoza, M. (2005). Recommending better queries using Click-Through data. SPIRE 2005, Buenos Aires, Argentina (LNCS).
Baeza-Yates, R., Hurtado, C., Mendoza, M., Dupret, G. (2005). Modeling user search behavior. LA-WEB 2005, Buenos Aires, Argentina.
2004
Mendoza, M., Salinas, L., Reusch, B., Hernández, G. (2004). Shiftability and Filter Bank design using Morlet Wavelet. SCCC 2004, Arica, Chile (IEEE).
2000
Mendoza, M., Salinas, L., Moraga, C. (2000). Design of a system for image registration and compensation based on Fourier transform. SCCC 2000, Santiago, Chile (IEEE).
Acutalizado a octubre 2025