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Teresa Bernarda Ludermir, Ph.D.

Affiliations: 
1992- Centro de Informatica Universidade Federal de Pernambuco 
Area:
Machine Learning, Artificial Intelligence, Artificial Neural Networks
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Parents

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Clyton 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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Leandro Maciel Almeida grad student Universidade Federal de Pernambuco
Renato Fernandes Correa grad student Universidade Federal de Pernambuco
Tiago Pessoa Ferreira grad student Instituto Federal de Pernambuco
Aida Araujo Ferreira grad student Instituto Federal de Pernambuco
Elliackin Nascimento Figueiredo grad student
Jairo Diniz Filho grad student Universidade Federal do Ceará
Gecynalda Soares Gomes grad student Universidade Federal da Bahia
Estefane Macedo Lacerda grad student
Tarcisio Pontes Lucas grad student
Fernando Maciano Neto grad student Universidade Federal de Pernambuco
João Fausto Oliveira grad student Universidade de Pernambuco
Luciano Demetrio Pacifico grad student Universidade Federal Rural de Pernambuco
Ricardo Bastos Prudencio grad student Universidade Federal de Pernambuco
Marizete Silva Santos grad student Universidade Federal Rural de Pernambuco
Anderson Tenorio Sergio grad student
Adenilton Jose Silva grad student Universidade Federal de Pernambuco
Darko Stosic grad student NVIDIA Corporation
Dusan Stosic grad student NVIDIA Corporation
Meuser Valencia grad student Universidadel de Pernambuco
Akio Yamazaki grad student
Cleber Zanchettin grad student Universidade Federal de Pernambuco
Fernando Buarque de Lima Neto grad student 1996-1998 Federal University of Pernambuco
Marcelo Gomes Pereira de Lacerda grad student 2017-2021 UFPE, Universidade Federal de Pernambuco

Collaborators

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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
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