Research output per year
Research output per year
Personal profile
Research Interests
Computational Intelligence, Machine Learning, Fuzzy Systems, Control Theory, Granular Computing.
Key Words
Neural Networks, Data Streams, Granular Computing, Time Series, Control Systems, Optimization, Fuzzy systems, Machine Learning, Pattern Recognition, Machine Learning.
Profession
BSc in Control and Automation Engineering , Pontifical Catholic University of Minas Gerais 2005
Education/Academic qualification
PhD, University of Campinas (UNICAMP)
Award Date: 10 Jul 2012
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Dive into the research topics where Daniel Furtado is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Interval incremental learning of interval data streams and application to vehicle tracking
Leite, D., Škrjanc, I., Blažič, S., Zdešar, A. & Gomide, F., Jun 2023, In: Information Sciences. 630, p. 1-22 22 p.Research output: Contribution to journal › Article › peer-review
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Data Driven Fuzzy Modeling Using Level Sets
Leite, D., Gomide, F. & Yager, R., 2022, 2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE International Conference on Fuzzy Systems; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
Ensemble of hybrid Bayesian networks for predicting the AMEn of broiler feedstuffs
Alvarenga, T. C., de Lima, R. R., Simão, S. D., Brandão Júnior, L. C., de Sousa Bueno Filho, J. S., Alvarenga, R. R., Rodrigues, P. B. & Furtado Leite, D., Jul 2022, In: Computers and Electronics in Agriculture. 198, 107067.Research output: Contribution to journal › Article › peer-review
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Explainable Log Parsing and Online Interval Granular Classification from Streams of Words
Decker, L., Leite, D. & Bonacorsi, D., 2022, 2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE International Conference on Fuzzy Systems; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning
Kaczmarek-Majer, K., Casalino, G., Castellano, G., Leite, D. & Hryniewicz, O., 2022, 2022 IEEE 11th International Conference on Intelligent Systems, IS 2022. Atanassov, K. T., Doukovska, L., Kacprzyk, J., Krawczak, M., Owsinski, J. W., Sgurev, V., Szmidt, E. & Zadrozny, S. (eds.). Institute of Electrical and Electronics Engineers Inc., (2022 IEEE 11th International Conference on Intelligent Systems, IS 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review