LEADER 03993nam 22006015 450 001 9910484199903321 005 20200709183339.0 010 $a981-15-5093-X 024 7 $a10.1007/978-981-15-5093-5 035 $a(CKB)4100000011343541 035 $a(MiAaPQ)EBC6272323 035 $a(DE-He213)978-981-15-5093-5 035 $a(PPN)258088338 035 $a(EXLCZ)994100000011343541 100 $a20200709d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgresses in Artificial Intelligence and Neural Systems /$fedited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (588 pages) $cillustrations 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v184 311 $a981-15-5092-1 327 $aPart 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. 330 $aThis book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human?machine interaction. At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans? interactions to make computers interfacing with them emotionally and socially credible. The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry. . 410 0$aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v184 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeural networks (Computer science)  606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) . 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a973.933092 702 $aEsposito$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFaundez-Zanuy$b Marcos$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMorabito$b Francesco Carlo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPasero$b Eros$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484199903321 996 $aProgresses in Artificial Intelligence and Neural Systems$92850142 997 $aUNINA