José Príncipe
Nascimento13 de abril de 1950 (76 anos)
Porto
CidadaniaPortugal
Alma mater
Ocupaçãocientista, engenheiro eletrotécnico, engenheiro, professor universitário
Distinções
  • Fellow of the AAAS (2021)
  • IEEE Neural Networks Pioneer Award
Empregador(a)Universidade da Flórida, Universidade da Flórida
Orientador(a)(es/s)Jack R. Smith

José Carlos dos Santos Carvalho Príncipe (Porto, 13 de Abril de 1950) é um investigador português.[1]

José Carlos Príncipe é professor na Faculdade de Engenharia da Universidade do Porto (FEUP) e professor na Universidade da Flórida.

Prémios

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  • 2007 IEEE Engineering in Medicine and Biology Society Career Achievement Award atribuído pela Electrical and Electronics Engineers

Obras

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  • Artigos em revistas
    • The Gamma-filter - a new class of adaptive IIR filters with restricted feedback (conjuntamente com DeVries B. DeVries B., Pedro Guedes de Oliveira)
    • Hidra - a hierarchical instrument for distributed real-time analysis of biological signals (conjuntamente com Pedro Guedes de Oliveira, A. M. Cruz, A. M. Tomé)
    • A study on the best oder for autoregressive eeg modeling (conjuntamente com Francisco Vaz, Pedro Guedes de Oliveira)
    • Best order variability of autoregressive eeg modeling (conjuntamente com Francisco Vaz, Pedro Guedes de Oliveira)
    • Multiprocessor electroencephalogram (eeg) analyzer (conjuntamente com Pedro Guedes de Oliveira, A. M. Cruz, A. M. Tomé)
  • Capítulos em livros:
    • Neural signal processing with an adaptive dispersive tapped delay line (conjuntamente com DeVries B., Pedro Guedes de Oliveira)
    • A Distributed Processing Architecture for Real-Time Biological Data Analysis (conjuntamente com Pedro Guedes de Oliveira, António Cruz)
  • Conferências internacionais (artigos) (juntamente com outros investigadores)
    • Generalized feedforward structures: a new class of adaptive filters
    • Generalized feedforward filters with complex poles
    • Modeling applications with the focused gamma net
    • Integrated system for simultaneous recording and display of image and signal
    • Interactive system for on-line management of clinical data
    • A distributed processing architecture for real-time biological data analysis
    • Event oriented analysis of the eeg: time dependence and topographic relations, vol. 3
  • Conferências nacionais (artigos conjuntos com outros investigafores)
    • Managing the automatic eeg signal processing on a multiprocessor

Referências

Ligações externas

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📚 Artikel Terkait di Wikipedia

Aprendizagem profunda

Processing in Dynamical Systems: Foundations of Harmony Theory» (PDF). In: Rumelhart, David E.; McLelland, James L. Parallel Distributed Processing:

Rede Neural

ISBN 978-0-262-63022-1  Rumelhart, D.E.; James McClelland (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge: MIT

David Rumelhart

Rumelhart, James L. McClelland and PDP Research Group (1987). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. [S.l.: s.n.] ISBN 9780262680530

Rede neural feedforward

L. McClelland, and the PDP research group. (editors), Parallel distributed processing: Explorations in the microstructure of cognition, Volume 1: Foundation

Máquina X

G. Huet, A. Kulkarni, P. Scharf, R. Bunker (2012) "A Distributed Platform for Sanskrit Processing" In Proc. COLING 2012, pp 1011–1028 [3] M. Stannett (1990)

GROMACS

«Folding@home: Lessons From Eight Years of Volunteer Distributed Computing» (PDF). Parallel & Distributed Processing, IEEE International Symposium: 1–8. ISBN 978-1-4244-3751-1

Andy Clark

estendida. Microcognition: Philosophy, Cognitive Science and Parallel Distributed Processing (1989) Associative Engines: Connectionism, Concepts and Representational

Transformer (aprendizado profundo)

James L.; Hinton, Geoffrey E. (29 de julho de 1987). Parallel Distributed Processing, Volume 1: Explorations in the Microstructure of Cognition: Foundations