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

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030304930
Category : Computers
Languages : en
Pages : 872

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Book Description
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 PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030304930
Category : Computers
Languages : en
Pages : 872

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Book Description
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

Artificial Neural Networks and Machine Learning -- ICANN 2019 PDF Author: Igor V. Tetko
Publisher:
ISBN: 9783030304942
Category : Artificial intelligence
Languages : en
Pages : 852

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Book Description
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 2024

Artificial Neural Networks and Machine Learning – ICANN 2024 PDF Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723473
Category :
Languages : en
Pages : 353

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Book Description


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

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030304841
Category : Computers
Languages : en
Pages : 818

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Book Description
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 PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030305082
Category : Computers
Languages : en
Pages : 749

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Book Description
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 PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030304876
Category : Computers
Languages : en
Pages : 848

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Book Description
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 PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030304906
Category : Computers
Languages : en
Pages : 775

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Book Description
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.

Reflections on Artificial Intelligence for Humanity

Reflections on Artificial Intelligence for Humanity PDF Author: Bertrand Braunschweig
Publisher: Springer Nature
ISBN: 3030691284
Category : Computers
Languages : en
Pages : 278

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Book Description
We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education?

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

Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series PDF Author: Igor V. Tetko
Publisher:
ISBN: 9783030304911
Category : Artificial intelligence
Languages : en
Pages : 761

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Book Description
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 Intelligence in Bioinformatics and Drug Repurposing: Methods and Applications

Artificial Intelligence in Bioinformatics and Drug Repurposing: Methods and Applications PDF Author: Pan Zheng
Publisher: Frontiers Media SA
ISBN: 2889748812
Category : Science
Languages : en
Pages : 167

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Book Description