Teresa Bernarda Ludermir, Ph.D.
Affiliations: | 1992- | Centro de Informatica | Universidade Federal de Pernambuco |
Area:
Machine Learning, Artificial Intelligence, Artificial Neural NetworksGoogle:
"Teresa Ludermir"Parents
Sign in to add mentorClyton Galamba Fernandes | grad student | 1984-1986 | Universidade Federal de Permambuco |
Igor Aleksander | grad student | 1986-1990 | Imperial College of Science, Technology and Medicine |
Children
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Publications
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Macedo D, Ren TI, Zanchettin C, et al. (2021) Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. Ieee Transactions On Neural Networks and Learning Systems |
Xavier-Júnior JC, Freitas AA, Ludermir TB, et al. (2020) An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results Theoretical Computer Science. 805: 1-18 |
Stosic D, Stosic D, Ludermir TB, et al. (2019) Exploring disorder and complexity in the cryptocurrency space Physica a: Statistical Mechanics and Its Applications. 525: 548-556 |
Stosic D, Stosic D, Ludermir TB, et al. (2019) Multifractal behavior of price and volume changes in the cryptocurrency market Physica a: Statistical Mechanics and Its Applications. 520: 54-61 |
Stosic D, Stosic D, Ludermir TB, et al. (2019) Natural image segmentation with non-extensive mixture models Journal of Visual Communication and Image Representation. 63: 102598 |
Macêdo D, Zanchettin C, Oliveira AL, et al. (2019) Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study Expert Systems With Applications. 124: 271-281 |
Stosic D, Stosic D, Ludermir TB, et al. (2018) Collective behavior of cryptocurrency price changes Physica a: Statistical Mechanics and Its Applications. 507: 499-509 |
Stosic D, Stosic D, Ludermir TB, et al. (2018) Nonextensive triplets in cryptocurrency exchanges Physica a: Statistical Mechanics and Its Applications. 505: 1069-1074 |
Stosic D, Stosic D, Zanchettin C, et al. (2017) QRNN: $q$ -Generalized Random Neural Network. Ieee Transactions On Neural Networks and Learning Systems. 28: 383-390 |
He H, Haas R, Fu J, et al. (2017) Editorial: A Successful Year and Looking Forward to 2017 and Beyond Ieee Transactions On Neural Networks and Learning Systems. 28: 2-7 |