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Eraldo Luis Rezende Fernandes

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Eraldo Luis Rezende Fernandes

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Dr. Eraldo Luis Rezende Fernandes

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    1. 2023

    2. 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 contributions › Journal articles › Research › peer-review

    3. Published

      Data practices in apps from Brazil: What do privacy policies inform us about?

      Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    4. 2022
    5. Published

      FaST: A linear time stack trace alignment heuristic for crash report deduplication

      Rodrigues, I. M., Aloise, D. & Fernandes, E. R., 23.05.2022, The 2022 Mining Software Repositories Conference: MSR 2022, Proceedings; 18-20 May 2022, Virtual; 23-24 May 2022, Pittsburgh, Pennsylvania. New York: Institute of Electrical and Electronics Engineers Inc., p. 549-560 12 p. (Proceedings - IEEE/ACM International Conference on Mining Software Repositories ).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    6. 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 contributions › Journal articles › Research › peer-review

    7. Entity Extraction from Portuguese Legal Documents Using Distant Supervision

      Navarezi, L. M., Sakiyama, K., Rodrigues, L. S., Robaldo, C. M. O., Lobato, G. R., Vilela, P. A., Matsubara, E. T. & Fernandes, E. R., 2022, Computational Processing of the Portuguese Language : 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings. Pinheiro, V., Gamallo, P., Amaro, R., Scarton, C., Batista, F., Silva, D., Magro, C. & Pinto, H. (eds.). Cham: Springer Nature Switzerland AG, p. 166-176 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13208 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    8. 2021

    9. 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/works › Article in conference proceedings › Research › peer-review

    10. 2020

    11. A Soft Alignment Model for Bug Deduplication

      Rodrigues, I. M., Aloise, D., Fernandes, E. R. & Dagenais, M., 29.06.2020, 2020 IEEE/ACM 17th International Conference on Mining Software Repositories: MSR 2020, Proceedings; Seoul, Republic of Korea 29-30 June 2020. New York: Association for Computing Machinery, Inc, p. 43-53 11 p.

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    12. 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/works › Article in conference proceedings › Research › peer-review

    13. A Study on the Impact of Intradomain Finetuning of Deep Language Models for Legal Named Entity Recognition in Portuguese

      Bonifacio, L. H., Vilela, P. A., Lobato, G. R. & Fernandes, E. R., 2020, Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part I. Cerri, R. & Prati, R. C. (eds.). Cham: Springer Nature Switzerland AG, p. 648-662 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12319 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    14. 2019

    15. BERT for stock market sentiment analysis

      Sousa, M. G., Sakiyama, K., Rodrigues, L. D. S., Moraes, P. H., Fernandes, E. & Matsubara, E. T., 11.2019, IEEE 31st International Conference on Tools with Artificial Intelligence: ICTAI 2019 : proceedings : 4-6 November 2019, Portland, Oregon. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1589-1593 5 p. ( International Conference on Tools with Artificial Intelligence, ICTAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    16. FaQuAD: Reading comprehension dataset in the domain of brazilian higher education

      Sayama, H. F., Araujo, A. V. & Fernandes, E. R., 10.2019, 2019 Brazilian Conference on Intelligent Systems: BRACIS 2019 : 15-18 October 2019, Salvador, Bahia, Brazil : proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 443-448 6 p. 8923668. (Proceedings - Brazilian Conference on Intelligent Systems; no. 8).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    17. 2017

    18. Domain adaptation of POS taggers without handcrafted features

      Rodrigues, I. M., Fernandes, E. R. & dos Santos, C. N., 30.06.2017, IJCNN 2017: the International Joint Conference on Neural Networks. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 3331-3338 8 p. 7966274. (Proceedings of the International Joint Conference on Neural Networks; vol. 2017).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    19. How difficult is the adaptation of POS taggers?

      Rodrigues, I. M. & Fernandes, E. R., 28.06.2017, BRACIS 2017: 2017 Brazilian Conference on Intelligent Systems : Uberlândia, MG, Brazil, 2-5 October 2017 : proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 360-365 6 p.

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    20. 2016
    21. 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/works › Article in conference proceedings › Research › peer-review

    22. 2014

    23. 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 contributions › Journal articles › Research › peer-review

    24. 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/works › Article in conference proceedings › Research › peer-review

    25. 2012

    26. Entropy-guided feature generation for structured learning of Portuguese dependency parsing

      Fernandes, E. R. & Milidiú, R. L., 2012, Computational Processing of the Portuguese Language: 10th International Conference, PROPOR 2012, Coimbra, Portugal, April 17-20, 2012. Proceedings. Caseli, H., Villavicencio, A., Teixeira, A. & Perdigao, F. (eds.). Berlin, Heidelberg: Springer, p. 146-156 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7243 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    27. Latent structure perceptron with feature induction for unrestricted coreference resolution

      Fernandes, E. R., dos Santos, C. N. & Milidiú, R. L., 2012, Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning: EMNLP-CoNLL 2012; Proceedings of the Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes, July 13, 2012. Stroudsburg: Association for Computational Linguistics (ACL), p. 41-48 8 p.

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    28. 2011

    29. 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/works › Article in conference proceedings › Research › peer-review

    30. 2010

    31. 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 contributions › Journal articles › Research › peer-review

    32. A machine learning approach to Portuguese clause identification

      Fernandes, E. R., Dos Santos, C. N. & Milidiú, R. L., 2010, Computational Processing of the Portuguese Language: 9th International Conference, PROPOR 2010, Porto Alegre, RS, Brazil, April 27-30, 2010. Proceedings. Pardo, T. A. S., Branco, A., Klautau, A., Viera, R. & de Lima, V. L. S. (eds.). Berlin, Heidelberg: Springer, p. 55-64 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6001 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    33. ETL ensembles for chunking, NER and SRL

      dos Santos, C. N., Milidiú, R. L., Crestana, C. E. M. & Fernandes, E. R., 2010, Computational Linguistics and Intelligent Text Processing: 11th International Conference, CICLing 2010, Iaşi, Romania, March 21-27, 2010. Proceedings. Gelbukh, A. (ed.). Berlin: Springer, p. 100-112 13 p. (Lecture Notes in Computer Science; vol. 6008 ).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    34. Hedge Detection Using the RelHunter Approach

      Fernandes, E. R., Crestana, C. E. M. & Milidiú, R. L., 2010, Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task. Farkas, R., Vincze, V., Szarvas, G., Mora, G. & Csirik, J. (eds.). USA: Association for Computational Linguistics (ACL), p. 64–69 6 p. (CoNLL '10: Shared Task).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    35. 2009

    36. Clause identification using entropy guided transformation learning

      Fernandes, E. R., Pires, B. A., dos Santos, C. N. & Milidiú, R. L., 2009, 2009 Seventh Brazilian Symposium in Information and Human Language Technology, STIL 2009: 8 - 11 September 2009, São Carlos, São Paulo, Brazil; Proceedings . Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 117-124 8 p. 5532445

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    37. 2005

    38. 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/works › Article in conference proceedings › Research › peer-review

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