Eraldo Luis Rezende Fernandes

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Eraldo Luis Rezende Fernandes

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Dr. Eraldo Luis Rezende Fernandes

  1. Published

    Using Wikipedia for Cross-Language Named Entity Recognition

    Fernandes, E. R., Brefeld, U., Blanco, R. & Atserias, J., 2016, Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Atzmüller, M., Chin, A., Janssen, F., Schweizer, I. & Trattner, C. (eds.). Springer International Publishing AG, p. 1-25 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9546).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. Using an adaptive memory strategy to improve a multistart heuristic for sequencing by hybridization

    Fernandes, E. R. & Ribeiro, C. C., 01.01.2005, Experimental and Efficient Algorithms: 4th International Workshop, WEA 2005, Santorini Island, Greece, May 10-13, 2005; Proceedings. Nikoletseas, S. E. (ed.). Berlin: Springer, p. 4-15 12 p. (Lecture Notes in Computer Science; vol. 3503).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. TraceSim: An Alignment Method for Computing Stack Trace Similarity

    Rodrigues, I. M., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D. & Povarov, N., 01.03.2022, In: Empirical Software Engineering. 27, 2, 41 p., 53.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. TextCSN: A semi-supervised approach for text clustering using pairwise constraints and convolutional siamese network

    Vilhagra, L. A., Fernandes, E. R. & Nogueira, B. M., 30.03.2020, The 35th Annual ACM Symposium on Applied Computing: Brno, Czech Republic, March 30 - April 3, 2020. New York: Association for Computing Machinery, Inc, p. 1135-1142 8 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Rhetorical Role Identification for Portuguese Legal Documents

    Aragy, R., Fernandes, E. R. & Caceres, E. N., 2021, Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II. Britto, A. & Valdivia Delgado, K. (eds.). Cham: Springer Schweiz, p. 557-571 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13074 LNAI).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. RelHunter: A machine learning method for relation extraction from text

    Fernandes, E. R., Milidiú, R. L. & Rentería, R. P., 09.2010, In: Journal of the Brazilian Computer Society. 16, 3, p. 191-199 9 p., 18.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Portuguese part-of-speech tagging with large margin structure learning

    Fernandes, E. R., Rodrigues, I. M. & Milidiú, R. L., 12.12.2014, BRACIS 2014: 2014 Brazilian Conference on Intelligent Systems ; 19-23 October 2014, São Carlos, São Paulo, Brazil ; proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 25-30 6 p. 6984802

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Performance predictors for graphics processing units applied to dark-silicon-aware design space exploration

    Sonohata, R., Arigoni, D. C. A., Fernandes, E. R., Ribeiro dos Santos, R. & Dessandre Duenha, L., 01.08.2023, In: Concurrency and Computation: Practice and Experience. 35, 17, 16 p., e6877.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Learning from partially annotated sequences

    Fernandes, E. R. & Brefeld, U., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). PART 1 ed. Heidelberg, Berlin: Springer, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Latent trees for coreference resolution

    Fernandes, E. R., dos Santos, C. N. & Milidiú, R. L., 19.12.2014, In: Computational Linguistics. 40, 4, p. 801-835 35 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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