1. Jorge Pérez, Javier Marinković and Pablo Barceló, On the Turing Completeness of Modern Neural Network Architectures, ICLR 2019. (pdf) (poster)
  2. Aymé Arango, Jorge Pérez, Barbara Poblete , Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation, SIGIR 2019. (pdf)
  3. Pablo Barceló, Nelson Higuera, Jorge Pérez and Bernardo Subercaseaux, Expressiveness of Matrix and Tensor Query Languages in terms of ML Operators, DEEM @ SIGMOD 2019. (pdf) (slides)

  4. F. Bravo-Marquez, E. Frank, B. Pfahringer, and S. M. Mohammad AffectiveTweets: a WEKA Package for Analyzing Affect in Tweets, In Journal of Machine Learning Research 20(92): Pages 1−6, 2019. (pdf)

  5. S. Lang, F. Bravo-Marquez, C. Beckham, M. Hall, and E. Frank WekaDeeplearning4j: a Deep Learning Package for Weka based on DeepLearning4j, In Knowledge-Based Systems, Volume 178, 15 August 2019, Pages 48-50. DOI: 10.1016/j.knosys.2019.04.013 (pdf)

  6. A. Ansell, F. Bravo-Marquez, and B. Pfahringer An ELMo-inspired approach to SemDeep-5's Word-in-Context task. In Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5) co-located with IJCAI 2019 in Macau, China. (pdf)

  7. D. Trye, A. S. Calude, F. Bravo-Marquez, and T. T Keegan Māori Loanwords: A Corpus of New Zealand English Tweets. In Proceedings of the 2019 ACL Student Research Workshop (SRW), Florence, Italy. (pdf)