Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

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Publisher : Springer Nature
ISBN 13 : 3030304876
Total Pages : 848 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation

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Publisher :
ISBN 13 : 9783030304881
Total Pages : pages
Book Rating : 4.3/5 (48 download)

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Book Synopsis Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation written by Igor V. Tetko and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

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Publisher : Springer Nature
ISBN 13 : 3030304841
Total Pages : 818 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030305082
Total Pages : 749 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

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Author :
Publisher : Springer Nature
ISBN 13 : 3030304906
Total Pages : 775 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

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Publisher : Springer Nature
ISBN 13 : 3030304930
Total Pages : 872 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-10 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Advances in Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 3031430786
Total Pages : 680 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advances in Computational Intelligence by : Ignacio Rojas

Download or read book Advances in Computational Intelligence written by Ignacio Rojas and published by Springer Nature. This book was released on 2023-11-01 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

Soft Computing and Signal Processing

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Publisher : Springer Nature
ISBN 13 : 9813369124
Total Pages : 729 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Soft Computing and Signal Processing by : V. Sivakumar Reddy

Download or read book Soft Computing and Signal Processing written by V. Sivakumar Reddy and published by Springer Nature. This book was released on 2021-05-20 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Artificial Neural Networks and Machine Learning – ICANN 2018

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Publisher : Springer
ISBN 13 : 303001424X
Total Pages : 866 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2018 by : Věra Kůrková

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2018 written by Věra Kůrková and published by Springer. This book was released on 2018-10-02 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Artificial Neural Networks and Machine Learning – ICANN 2020

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Publisher : Springer Nature
ISBN 13 : 3030616169
Total Pages : 891 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2020 by : Igor Farkaš

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2020 written by Igor Farkaš and published by Springer Nature. This book was released on 2020-10-17 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.* The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 249 submissions. They were organized in 2 volumes focusing on topics such as adversarial machine learning, bioinformatics and biosignal analysis, cognitive models, neural network theory and information theoretic learning, and robotics and neural models of perception and action. *The conference was postponed to 2021 due to the COVID-19 pandemic.

Machine Learning, Image Processing, Network Security and Data Sciences

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Publisher : Springer Nature
ISBN 13 : 3031243528
Total Pages : 381 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning, Image Processing, Network Security and Data Sciences by : Nilay Khare

Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Nilay Khare and published by Springer Nature. This book was released on 2023-01-17 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: ​machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.

Recent Innovations in Computing

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Publisher : Springer Nature
ISBN 13 : 9811682488
Total Pages : 532 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Recent Innovations in Computing by : Pradeep Kumar Singh

Download or read book Recent Innovations in Computing written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2022-03-09 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on May 8–9, 2021, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

Artificial Neural Networks and Machine Learning – ICANN 2021

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Publisher : Springer Nature
ISBN 13 : 3030863409
Total Pages : 664 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2021 written by Igor Farkaš and published by Springer Nature. This book was released on 2021-09-10 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks. *The conference was held online 2021 due to the COVID-19 pandemic.

Cyber-Physical Systems

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Publisher : Springer Nature
ISBN 13 : 303067892X
Total Pages : 394 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Cyber-Physical Systems by : Alla G. Kravets

Download or read book Cyber-Physical Systems written by Alla G. Kravets and published by Springer Nature. This book was released on 2021-04-13 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers ideas to help improve digital technologies and increase their efficiency during implementation and application for researchers and practitioners. The outstanding position of the book among others is that it dwells with cyber-physical systems’ progress and proposes ideas and finding around digital tools and technologies and their application. A distinguished contribution is in presenting results on Digital Twins development and application, enhancing approaches of communication and information transferring between cyber-physical systems connected within the Internet of things platforms, computer linguistic as a part of cyber-physical systems, intelligent cybersecurity and computer vision systems. The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of manufacturing and industry who are interested in creating and implementing of cyber-physical systems in framework of digitalization projects.

Contemporary Issues In Mediation - Volume 7

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Publisher : World Scientific
ISBN 13 : 9811268738
Total Pages : 159 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Contemporary Issues In Mediation - Volume 7 by : Joel Lee

Download or read book Contemporary Issues In Mediation - Volume 7 written by Joel Lee and published by World Scientific. This book was released on 2022-10-25 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary Issues in Mediation (CIIM) Volume 7 builds on the success of the past six volumes as a testament to a growing interest of authors and readers in the wide variety of issues related to mediation. With the entry into force of the Singapore Convention on Mediation in 2020, mediation is and will continue to be increasingly pertinent in the world of dispute resolution. Readers stand to benefit from a diverse range of topics selected for their high quality of research and novelty. CIIM Volume 7 explores the role of mediation in the post-pandemic era, providing interesting perspectives on issues ranging from victim-offender disputes in the community to the resolution of inter-state armed conflicts. Edited by Singapore's leading expert on mediation and negotiation and Chairman of Singapore International Mediation Institute, Professor Joel Lee; Country Manager (Singapore) for Lupl, Marcus Lim; and Managing Partner of CJ Liew & Co, Josephine Hadikusumo, CIIM is a unique and valuable addition to the growing body of mediation and dispute resolution literature.

Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series

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Author :
Publisher :
ISBN 13 : 9783030304911
Total Pages : 761 pages
Book Rating : 4.3/5 (49 download)

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Book Synopsis Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series written by Igor V. Tetko and published by . This book was released on 2019 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Low-Power Computer Vision

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Publisher : CRC Press
ISBN 13 : 1000540960
Total Pages : 395 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Low-Power Computer Vision by : George K. Thiruvathukal

Download or read book Low-Power Computer Vision written by George K. Thiruvathukal and published by CRC Press. This book was released on 2022-02-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.