Intelligent Data Engineering And Automated Learning Ideal 2023

Author : Paulo Quaresma,David Camacho,Hujun Yin,Teresa Gonçalves,Vicente Julian,Antonio J. Tallón-Ballesteros
Publisher : Springer Nature
Page : 561 pages
File Size : 46,9 Mb
Release : 2023-12-16
Category : Computers
ISBN : 9783031482328

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Intelligent Data Engineering and Automated Learning – IDEAL 2023 by Paulo Quaresma,David Camacho,Hujun Yin,Teresa Gonçalves,Vicente Julian,Antonio J. Tallón-Ballesteros Pdf

This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.

Author : Paulo Quaresma,David Camacho,Hujun Yin,Teresa Gonçalves,Vicente Julian,Antonio J. Tallón-Ballesteros
Publisher : Springer
Page : 0 pages
File Size : 53,9 Mb
Release : 2023-12-24
Category : Computers
ISBN : 303148231X

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Intelligent Data Engineering and Automated Learning – IDEAL 2023 by Paulo Quaresma,David Camacho,Hujun Yin,Teresa Gonçalves,Vicente Julian,Antonio J. Tallón-Ballesteros Pdf

This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.

Author : Jiming Liu,Yiuming Cheung
Publisher : Springer Science & Business Media
Page : 1161 pages
File Size : 46,9 Mb
Release : 2003-07-29
Category : Business & Economics
ISBN : 9783540405504

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Intelligent Data Engineering and Automated Learning by Jiming Liu,Yiuming Cheung Pdf

This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Author : Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento
Publisher : Unknown
Page : 0 pages
File Size : 50,5 Mb
Release : 2021
Category : Electronic
ISBN : 303091609X

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Intelligent Data Engineering and Automated Learning - IDEAL 2021 by Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento Pdf

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 from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Author : Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros
Publisher : Springer
Page : 364 pages
File Size : 50,5 Mb
Release : 2018-11-08
Category : Computers
ISBN : 9783030034962

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Intelligent Data Engineering and Automated Learning – IDEAL 2018 by Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros Pdf

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 data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

Author : Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros
Publisher : Springer
Page : 890 pages
File Size : 43,8 Mb
Release : 2018-11-08
Category : Computers
ISBN : 9783030034931

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Intelligent Data Engineering and Automated Learning – IDEAL 2018 by Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros Pdf

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 data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

Author : Hujun Yin,Ke Tang,Yang Gao,Frank Klawonn,Minho Lee,Bin Li,Thomas Weise,Xin Yao
Publisher : Springer
Page : 639 pages
File Size : 51,8 Mb
Release : 2013-10-16
Category : Computers
ISBN : 9783642412783

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Intelligent Data Engineering and Automated Learning -- IDEAL 2013 by Hujun Yin,Ke Tang,Yang Gao,Frank Klawonn,Minho Lee,Bin Li,Thomas Weise,Xin Yao Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

Author : Hujun Yin,David Camacho,Peter Tino
Publisher : Springer
Page : 0 pages
File Size : 50,6 Mb
Release : 2022-11-21
Category : Computers
ISBN : 3031217527

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Intelligent Data Engineering and Automated Learning – IDEAL 2022 by Hujun Yin,David Camacho,Peter Tino Pdf

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 associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Author : Hujun Yin,Yang Gao,Bin Li,Daoqiang Zhang,Ming Yang,Yun Li,Frank Klawonn,Antonio J. Tallón-Ballesteros
Publisher : Springer
Page : 647 pages
File Size : 41,8 Mb
Release : 2016-09-12
Category : Computers
ISBN : 9783319462578

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Intelligent Data Engineering and Automated Learning – IDEAL 2016 by Hujun Yin,Yang Gao,Bin Li,Daoqiang Zhang,Ming Yang,Yun Li,Frank Klawonn,Antonio J. Tallón-Ballesteros Pdf

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

Author : Hujun Yin,Yang Gao,Songcan Chen,Yimin Wen,Guoyong Cai,Tianlong Gu,Junping Du,Antonio J. Tallón-Ballesteros,Minling Zhang
Publisher : Springer
Page : 626 pages
File Size : 42,7 Mb
Release : 2017-10-23
Category : Computers
ISBN : 9783319689357

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Intelligent Data Engineering and Automated Learning – IDEAL 2017 by Hujun Yin,Yang Gao,Songcan Chen,Yimin Wen,Guoyong Cai,Tianlong Gu,Junping Du,Antonio J. Tallón-Ballesteros,Minling Zhang Pdf

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

Author : Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger
Publisher : Springer
Page : 0 pages
File Size : 47,8 Mb
Release : 2019-10-24
Category : Computers
ISBN : 3030336166

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Intelligent Data Engineering and Automated Learning – IDEAL 2019 by Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger Pdf

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 data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

Author : Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento
Publisher : Springer
Page : 649 pages
File Size : 42,9 Mb
Release : 2021-11-21
Category : Computers
ISBN : 3030916073

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Intelligent Data Engineering and Automated Learning – IDEAL 2021 by Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento Pdf

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 from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Author : Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros
Publisher : Unknown
Page : 865 pages
File Size : 54,8 Mb
Release : 2018
Category : Artificial intelligence
ISBN : 3030034941

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Intelligent Data Engineering and Automated Learning -- IDEAL 2018 by Hujun Yin,David Camacho,Paulo Novais,Antonio J. Tallón-Ballesteros Pdf

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 data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.

Author : Marcus Gallagher,James Hogan,Frederic Maire
Publisher : Springer
Page : 0 pages
File Size : 47,9 Mb
Release : 2005-06-20
Category : Computers
ISBN : 3540316930

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Intelligent Data Engineering and Automated Learning - IDEAL 2005 by Marcus Gallagher,James Hogan,Frederic Maire Pdf

Author : Hujun Yin,Jose A.F. Costa,Guilherme Barreto
Publisher : Springer
Page : 862 pages
File Size : 43,5 Mb
Release : 2012-08-01
Category : Computers
ISBN : 9783642326394

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Intelligent Data Engineering and Automated Learning -- IDEAL 2012 by Hujun Yin,Jose A.F. Costa,Guilherme Barreto Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.