the Center
Advisory Board
Members
Projects
Publications
Conferences and Seminars
Advanced Courses
Highlights
Research Groups
Scientific Annual Reports
Strategic Project
Internal Regulations
contacts

 
World of Statistics  
   
 

Carlos José Brás Geraldes
Prof. Doutor Eng. (Eng.)

Técnico Superior
Professor Auxiliar Convidado


Carlos José Brás Geraldes
Education:
  • Licenciatura em Engenharia Electrotécnica e de Computadores - IST
  • Provas de Aptidão Pedagógica e Científica - FCM/UNL
  • Doutoramento em Ciências da Vida - Saúde das Populações (Bioestatística)
Research::
  • Redes Neuronais/Bioinformática
Other Professional Activities:
Courses Lectured:
  • Regente da cadeira de Informática e Aplicações de Informática Médica
    Prof. Auxiliar Convidado da cadeira de Saúde Pública, Epidemiologia e Bioestatística;
Most recent publications:
  • Stomach cancer incidence in Southern Portugal 1998–2006: A spatio-temporal analysis
    AL Papoila, A Riebler, A Amaral-Turkman, R São-João, C Ribeiro, Bras-Geraldes, A Miranda
    Biometrical Journal 56 (3), 403-415
     
  • Generalized linear models, generalized additive models and neural networks: comparative study in medical applications
    AL Papoila, C Rocha, C Geraldes, P Xufre
    Advances in regression, survival analysis, extreme values, Markov processes and other statistical applications, Springer Berlin Heidelberg, 317-324
     
  • Pollen concentrations and emergency department visits for asthma and wheeze in Lisbon
    J Belo, P Carreiro-Martins, AL Papoila, C Geraldes, M Paiva, E Caeiro, R Ferro, M Coelho, P Leiria-Pinto
    ALLERGY 69, 16-16
     
  • Generalized Additive Neural Networks for mortality prediction using automated and Genetic Algorithms
    C Bras-Geraldes, A Papoila, P Xufre, F Diamantino
    Serious Games and Applications for Health (SeGAH), 2013 IEEE 2nd, 1-8
     
  • Carlos Bras-Geraldes, Ana Papoila, Patricia Xufre, “Generalized additive neural network with flexible parametric link function: model estimation using simulated and real clinical data”, Neural Computing and Applications,Springer London, DOI: 10.1007/s00521-017-3105-6, 2017;
     

 

     
 
 initial  |  contacts
© 2006-2018 CEAUL 
All rights reserved.