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  • Intelligent Data Engineering and Automated Learning – IDEAL 2019

    20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I

    Series Libro 1 - Springer Nature Proceedings Computer Science
    This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019.The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in ... Leer más

    $49.99 USD

  • Intelligent Data Engineering and Automated Learning – IDEAL 2022

    23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings

    Edición de Hujun Yin, David Camacho, Peter Tino ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and ... Leer más

    $80.99 USD

  • Intelligent Data Engineering and Automated Learning – IDEAL 2021

    22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic.The 61 full papers included in this book were carefully reviewed and selected ... Leer más

    $89.99 USD

  • Population-Based Optimization on Riemannian Manifolds

    Series series Intelligent Technologies and Robotics (R0)
    Manifold optimization is an emerging field of contemporary optimization that constructs efficient and robust algorithms by exploiting the specific geometrical structure of the search space. In our case the search space takes the form of a manifold.Manifold optimization methods mainly focus on adapting existing optimization methods from the usual “easy-to-deal-with” Euclidean search spaces to ... Leer más

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  • Intelligent Data Engineering and Automated Learning – IDEAL 2019

    20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II

    Series Libro 2 - Springer Nature Proceedings Computer Science
    This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019.The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in ... Leer más

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    19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I

    Series Libro 1 - Springer Nature Proceedings Computer Science
    This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in ... Leer más

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  • Hybrid Artificial Intelligent Systems

    17th International Conference, HAIS 2022, Salamanca, Spain, September 5–7, 2022, Proceedings

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    This book constitutes the refereed proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022, held in Salamanca, Spain, in September 2022.The 43 full papers presented in this book were carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: bioinformatics; data mining and decision support systems; deep ... Leer más

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  • Intelligent Data Engineering and Automated Learning – IDEAL 2020

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    Series Libro 1 - Springer Nature Proceedings Computer Science
    This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances ... Leer más

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  • Hybrid Artificial Intelligent Systems

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    This book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5–7, 2023.The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: Anomaly and Fault Detection, Data Mining and Decision ... Leer más

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    DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. ... Leer más

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    The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020.The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions.The contributions are organized in topical as follows:Part I: machine and deep learning, ... Leer más

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