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Progresses in Artificial Intelligence and Neural Systems / edited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero.
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2021 English International Available online
View online- Format:
- Book
- Series:
- Smart Innovation, Systems and Technologies, 2190-3026 ; 184
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Neural networks (Computer science).
- Computational Intelligence.
- Artificial Intelligence.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Physical Description:
- 1 online resource (588 pages) : illustrations
- Edition:
- 1st ed. 2021.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- Summary:
- This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction. At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible. The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry. .
- Contents:
- Part I: Introduction
- Towards Socially and Emotionally Believable ICT Interfaces
- Part II: Neural Networks and Related Applications
- The Simplification Conspiracy
- Passengers' Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles
- Road Type Classification using Acoustic Signals: Deep Learning Models and Real-Time Implementation
- Emotional Content Comparison in Speech Signal Using Feature Embedding.
- ISBN:
- 981-15-5093-X
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