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Publications

Publications by Ana Pereira

2021

Deep Learning for Big Data

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

Publication
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

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

Publication
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

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

Publication
IBICA

Abstract

2013

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

Authors
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;

Publication
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Abstract

2021

Machine Learning Methods for Signal, Image and Speech Processing

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

Publication
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.

2021

Preface

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

Publication
Machine Learning Methods for Signal, Image and Speech Processing

Abstract
[No abstract available]

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