02930nam 22007335 450 991059298040332120230810180238.03-031-15931-410.1007/978-3-031-15931-2(CKB)5720000000058604(MiAaPQ)EBC7081081(Au-PeEL)EBL7081081(DE-He213)978-3-031-15931-2(PPN)264952871(EXLCZ)99572000000005860420220906d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Neural Networks and Machine Learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II /edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin1st ed. 2022.Cham :Springer Nature Switzerland :Imprint: Springer,2022.1 online resource (834 pages)Lecture Notes in Computer Science,1611-3349 ;135303-031-15930-6 Includes bibliographical references and index.Chapters “Learning Flexible Translation Between Robot Actions and Language Descriptions”, “Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Lecture Notes in Computer Science,1611-3349 ;13530Artificial intelligenceComputer engineeringComputer networksComputersImage processingDigital techniquesComputer visionApplication softwareArtificial IntelligenceComputer Engineering and NetworksComputing MilieuxComputer Imaging, Vision, Pattern Recognition and GraphicsComputer and Information Systems ApplicationsArtificial intelligence.Computer engineering.Computer networks.Computers.Image processingDigital techniques.Computer vision.Application software.Artificial Intelligence.Computer Engineering and Networks.Computing Milieux.Computer Imaging, Vision, Pattern Recognition and Graphics.Computer and Information Systems Applications.006.3006.32Pimenidis EliasMiAaPQMiAaPQMiAaPQBOOK9910592980403321Artificial neural networks and machine learning -- ICANN 20223004575UNINA