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    Publicações

    Publicações por Ana Pereira

    2021

    Deep Learning for Big Data

    Autores
    Correia, F; Madureira, A; Bernardino, J;

    Publicação
    Innovations in Bio-Inspired Computing and Applications - Proceedings of the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) Held During December 16-18, 2021

    Abstract

    2021

    Intelligent Systems Design and Applications - 20th International Conference on Intelligent Systems Design and Applications (ISDA 2020) held December 12-15, 2020

    Autores
    Abraham, A; Piuri, V; Gandhi, N; Siarry, P; Kaklauskas, A; Madureira, A;

    Publicação
    ISDA

    Abstract

    2022

    Innovations in Bio-Inspired Computing and Applications - Proceedings of the 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2021) Held During December 16-18, 2021

    Autores
    Abraham, A; Madureira, AM; Kaklauskas, A; Gandhi, N; Bajaj, A; Muda, AK; Kriksciuniene, D; Ferreira, JC;

    Publicação
    IBICA

    Abstract

    2013

    A Successful Change from TNN to TNNLS and a Very Successful Year

    Autores
    Anderson, C; Azar, AT; Battistelli, G; Bayro Corrochano, E; Cervellera, C; Elizondo, D; Filippone, M; Gnecco, G; Hu, XL; Huang, TW; Liu, WF; Lu, WL; Madureira, AM; Skrjanc, I; Villmann, T; Wu, J; Xie, SL; Xu, D; Liu, DR;

    Publicação
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

    Abstract

    2021

    Machine Learning Methods for Signal, Image and Speech Processing

    Autores
    Jabbar, MA; Prasad, KMVV; Peng, SL; Reaz, MBI; Madureira, A;

    Publicação
    Machine Learning Methods for Signal, Image and Speech Processing

    Abstract
    The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains. © 2021 River Publishers. All rights reserved.

    FecharLer Abstract

    2021

    Preface

    Autores
    Jabbar, MA; Prasad, KMVV; Peng, SL; Reaz, MBI; Madureira, A;

    Publicação
    Machine Learning Methods for Signal, Image and Speech Processing

    Abstract
    [No abstract available]

    FecharLer Abstract
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