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

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
Author: Igor V. Tetko
Publisher: Springer Nature
Total Pages: 848
Release: 2019-09-09
Genre: Computers
ISBN: 3030304876

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

Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation
Author: Igor V. Tetko
Publisher:
Total Pages:
Release: 2019
Genre: Artificial intelligence
ISBN: 9783030304881

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

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
Author: Igor V. Tetko
Publisher: Springer Nature
Total Pages: 818
Release: 2019-09-09
Genre: Computers
ISBN: 3030304841

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

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
Author: Igor V. Tetko
Publisher: Springer Nature
Total Pages: 749
Release: 2019-09-09
Genre: Computers
ISBN: 3030305082

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

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
Author: Igor V. Tetko
Publisher: Springer Nature
Total Pages: 775
Release: 2019-09-09
Genre: Computers
ISBN: 3030304906

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

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
Author: Igor V. Tetko
Publisher: Springer Nature
Total Pages: 872
Release: 2019-09-10
Genre: Computers
ISBN: 3030304930

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

Advances in Computational Intelligence
Author: Ignacio Rojas
Publisher: Springer Nature
Total Pages: 680
Release: 2023-11-01
Genre: Science
ISBN: 3031430786

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

Soft Computing and Signal Processing
Author: V. Sivakumar Reddy
Publisher: Springer Nature
Total Pages: 729
Release: 2021-05-20
Genre: Technology & Engineering
ISBN: 9813369124

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 2020

Artificial Neural Networks and Machine Learning – ICANN 2020
Author: Igor Farkaš
Publisher: Springer Nature
Total Pages: 891
Release: 2020-10-17
Genre: Computers
ISBN: 3030616169

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

Machine Learning, Image Processing, Network Security and Data Sciences
Author: Nilay Khare
Publisher: Springer Nature
Total Pages: 381
Release: 2023-01-17
Genre: Computers
ISBN: 3031243528

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.