Search Results - "Felicetti, J"

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  1. 1

    Lung Transplantation for Lymphangioleiomyomatosis: Single-Center Brazilian Experience with No Chylothorax by Machuca, T.N, Losso, M.J, Camargo, S.M, Schio, S.M, Melo, I.A, Hochhegger, B, Felicetti, J.C, Camargo, J.J

    Published in Transplantation proceedings (2011)
    “…Abstract Background Lymphangioleiomyomatosis (LAM), a rare cystic disease characterized by proliferation of smooth muscle cells in the lung interstitium,…”
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    Journal Article Conference Proceeding
  2. 2

    Lateral thoracic expansion in a preterm baby with asphyxiating thoracic dystrophy by Andrade, C F, Cardoso, P F G, Felicetti, J C

    Published in The Thoracic and cardiovascular surgeon (01-02-2011)
    “…Lateral thoracic expansion is a surgical technique which consists of increasing the diameter of the thoracic rib cage by the division of ribs and underlying…”
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    Journal Article
  3. 3

    Lung Transplantation for Patients Older Than 65 Years: Is It a Feasible Option? by Machuca, T.N, Camargo, S.M, Schio, S.M, Lobato, V, Sanchez, L.B, Perin, F, Felicetti, J.C, Camargo, J.J

    Published in Transplantation proceedings (2011)
    “…Abstract Background Advanced age has been a relative contraindication to lung transplantation. However, the exact age limit for this procedure has not yet been…”
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    Journal Article Conference Proceeding
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    Deep stochastic configuration networks with optimised model and hyper-parameters by Felicetti, Matthew J., Wang, Dianhui

    Published in Information sciences (01-07-2022)
    “…•Employ Monte Carlo tree search (MCTS) to the hyper-parameter selection of DeepSCNs.•Propose a search space and evaluation strategy for optimizing the…”
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    Journal Article
  9. 9

    Deep stochastic configuration networks with different random sampling strategies by Felicetti, Matthew J., Wang, Dianhui

    Published in Information sciences (01-08-2022)
    “…•In this work, we examine the impact of the distribution of random weights on the performance of deep stochastic configuration networks (DeepSCNs).•We propose…”
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    Journal Article
  10. 10

    Stochastic configuration networks with particle swarm optimisation search by Felicetti, Matthew J., Wang, Dianhui

    Published in Information sciences (01-08-2024)
    “…While building stochastic configuration networks (SCNs), there is no guarantee that the randomly generated weights will satisfy the supervisory mechanism and…”
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    Journal Article
  11. 11

    Tractor Mounted Grapevine Pruning System by Felicetti, Matthew J., Ross, Robert, Putland, Stuart, Bennett, Stephen

    Published in Journal of field robotics (24-10-2024)
    “…ABSTRACT The pruning of grapevines is essential in managing and ensuring high‐quality fruit yields. This task traditionally requires a lot of labor and time to…”
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    Journal Article
  12. 12

    Prognostic Factors in Lung Transplantation: The Santa Casa de Porto Alegre Experience by NOGUCHI MACHUCA, Tiago, MARCELO SCHIO, Sadi, MARCANTONIO CAMARGO, Spencer, LOBATO, Vivalde, OLIVEIRA COSTA, Clarice Daniele, FELICETTI, José Carlos, SILVA MOREIRA, José, CAMARGO, José Jesus

    Published in Transplantation (15-06-2011)
    “…Lung transplantation (LT) has been established as a current therapy for selected patients with end-stage lung disease. Different prognostic factors have been…”
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    Journal Article
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    Lightweight Stochastic Configuration Networks by Wang, Dianhui, Felicetti, Matthew J.

    “…Stochastic configuration networks (SCNs) are a class of randomized learner model that ensure the universal approximation property at an algorithmic level,…”
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    Conference Proceeding
  16. 16

    Stochastic Configuration Machines: FPGA Implementation by Felicetti, Matthew J, Wang, Dianhui

    Published 29-10-2023
    “…Neural networks for industrial applications generally have additional constraints such as response speed, memory size and power usage. Randomized learners can…”
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    Journal Article
  17. 17

    Stochastic Configuration Machines for Industrial Artificial Intelligence by Wang, Dianhui, Felicetti, Matthew J

    Published 25-08-2023
    “…Real-time predictive modelling with desired accuracy is highly expected in industrial artificial intelligence (IAI), where neural networks play a key role…”
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    Journal Article
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