00930cam0 2200265 450 E60020006719320200505161152.020101011d1984 |||||ita|0103 baitaITFunzione e struttura del catalogo per autoreAlberto PetruccianiFirenzeGiunta Regionale ToscanaLa Nuova Italia1984127 p.24 cmArchivi e biblioteche12001LAEC000242992001 *Archivi e biblioteche12PETRUCCIANI, AlbertoAF000156900707319ITUNISOB20200505RICAUNISOBUNISOB01056199E600200067193M 102 Monografia moderna SBNM010000232Si56199acquistobethUNISOBUNISOB20101011104047.020200505161130.0AlfanoFunzione e struttura del catalogo per autore375733UNISOB04548nam 22007935 450 991034940560332120230330003428.09783030014186303001418510.1007/978-3-030-01418-6(CKB)4100000006674625(DE-He213)978-3-030-01418-6(MiAaPQ)EBC6244076(PPN)23053905X(EXLCZ)99410000000667462520180926d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierArtificial Neural Networks and Machine Learning – ICANN 2018 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I /edited by Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XLIII, 824 p. 311 illus.) Theoretical Computer Science and General Issues,2512-2029 ;111399783030014179 3030014177 Includes bibliographical references and index.This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.Theoretical Computer Science and General Issues,2512-2029 ;11139Artificial intelligenceComputer visionComputer engineeringComputer networksData protectionAlgorithmsArtificial IntelligenceComputer VisionComputer Engineering and NetworksComputer Communication NetworksData and Information SecurityAlgorithmsArtificial intelligence.Computer vision.Computer engineering.Computer networks.Data protection.Algorithms.Artificial Intelligence.Computer Vision.Computer Engineering and Networks.Computer Communication Networks.Data and Information Security.Algorithms.006.32006.32Kůrková Věraedthttp://id.loc.gov/vocabulary/relators/edtManolopoulos Yannisedthttp://id.loc.gov/vocabulary/relators/edtHammer Barbaraedthttp://id.loc.gov/vocabulary/relators/edtIliadis Lazarosedthttp://id.loc.gov/vocabulary/relators/edtMaglogiannis Iliasedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349405603321Artificial Neural Networks and Machine Learning – ICANN 20181934690UNINA