About Me

I am a third-year Ph.D Candidate at the Computer Science Department of Universidad de Chile, under the supervision of Prof. Barbara Poblete and Prof. Felipe Bravo.

My research interests are in the area of data mining and machine learning, with special interest in artificial neural networks models for text data mining.

News

  • PhD Research Proposal Recipient of Google Research Award for Latin America 2019. Page
  • PhD Research Proposal Paper accepted at Doctoral Consortium SIGIR 2020. Page
  • Accepted at CIFAR Deep Learning and Reinforcement Learning School. August 3-7, 2020. Montreal, Quebec, Canada. Page
  • Accepted at The Machine Learning Summer School. 28 June - 10 July, 2020. Max Planck Institute for Intelligent Systems, Tubingen, Germany. Page
  • Accepted at Khipu Latin American Meeting In Artificial Intelligence. November 11-15, 2019. Montevideo, Uruguay. Page

Publications

  • An Integrated Model for Textual Social Media Data with Spatio-Temporal Dimensions. Juglar Díaz, Barbara Poblete and Felipe Bravo. Information Processing and Management, 2020. https://doi.org/10.1016/j.ipm.2020.102219.
  • Car Theft Reports: a Temporal Analysis from a Social Media Perspective. Juglar Díaz and Barbara Poblete. In Companion Proceedings of the 2019 World Wide Web Conference (WWW’19 Companion), May 13–17,2019, San Francisco, CA, USA. ACM, New York, NY, USA, 4 pages.
  • Tweets language identification using feature weighting. Juglar Díaz Zamora, Adrian Fonseca Bruzón, Reynier Ortega Bueno. Proceedings of the Tweet Language Identification Workshop (TweetLID 2014), Vol. 1228. Arkaitz Zubiaga, Ińaki San Vicente, (Eds). pp. 30 - 34. Septiembre, 2014. ISSN: 1613-0073.
  • User influence in tweets classification. Juglar Díaz Zamora, Adrian Fonseca Bruzón, Reynier Ortega Bueno. Proceedings of the VII International Conference of Electrical Engineering. pp. 1 - 4. Jun, 2014. ISBN: 978-959-207-529-0.
  • A Coreference Resolution Module for Spanish Texts. Juglar Díaz-Zamora y Yunior Ramírez Cruz. Proceedings of the RECPAT 2011. pp. 1 - 10. 2011. ISBN: 978-959-250-658-9.

Teaching

  • Design and Analysis of Algorithms. Professor at the Computer Science Department, Universidad de Oriente, Santiago, Cuba, 2011-2016.
  • Natural Language Processing, Deep Learning and Data Mining. Auxiliary Professor at the Computer Science Department, Universidad de Chile, Santiago, Chile, 2018-2019.

Skills

  • Python (tensorflow, pytorch, SKLearn, Pandas, PySpark, Airflow), GCP (Certificated), AWS, R-Package, C++.