LEADER 03219nam 2200649Ia 450 001 9910784879403321 005 20230422045040.0 010 $a1-315-59687-3 010 $a1-317-09171-X 010 $a1-281-09865-5 010 $a9786611098650 010 $a0-7546-8632-9 035 $a(CKB)1000000000401772 035 $a(EBL)429716 035 $a(OCoLC)437113572 035 $a(SSID)ssj0000207142 035 $a(PQKBManifestationID)11183675 035 $a(PQKBTitleCode)TC0000207142 035 $a(PQKBWorkID)10246549 035 $a(PQKB)10378850 035 $a(Au-PeEL)EBL429716 035 $a(CaPaEBR)ebr10211184 035 $a(CaONFJC)MIL919110 035 $a(MiAaPQ)EBC429716 035 $a(EXLCZ)991000000000401772 100 $a20000714d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMusic, electronic media, and culture$b[electronic resource] /$fedited by Simon Emmerson 210 $aAldershot ;$aBurlington, USA $cAshgate$dc2000 215 $a1 online resource (263 p.) 300 $aDescription based upon print version of record. 311 $a0-7546-0109-9 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Notes on contributors; Introduction; Part One: Listening and interpreting; 1 Through and around the acousmatic: the interpretation of electroacoustic sounds; 2 Simulation and reality: the new sonic objects; 3 Beyond the acousmatic: hybrid tendencies in electroacoustic music; Part Two: Cultural noise; 4 Plunderphonics; 5 Crossing cultural boundaries through technology?; 6 Cacophony; Part Three: New places, spaces and narratives; 7 Art on air: a profile of new radio art; 8 'Losing touch?': the human performer and electronics 327 $a9 Stepping outside for a moment: narrative space in two works for sound aloneIndex; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z 330 $aTechnology revolutionised the ways that music was produced in the twentieth century. As that century drew to a close and a new century begins a new revolution in roles is underway. The separate categories of composer, performer, distributor and listener are being challenged, while the sounds of the world itself become available for musical use. All kinds of sounds are now brought into the remit of composition, enabling the music of others to be sampled (or plundered), including that of unwitting musicians from non-western cultures. This sound world may appear contradictory - stimulating and in 606 $aElectronic music$xHistory and criticism 606 $aMusic and technology 606 $aMusic$y20th century$xHistory and criticism 615 0$aElectronic music$xHistory and criticism. 615 0$aMusic and technology. 615 0$aMusic$xHistory and criticism. 676 $a306.4’84 676 $a306.484 676 $a786.7 701 $aEmmerson$b Simon$f1950-$01140547 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784879403321 996 $aMusic, electronic media, and culture$93716830 997 $aUNINA LEADER 03985nam 22006615 450 001 9910483851403321 005 20200702040542.0 010 $a3-030-42750-1 024 7 $a10.1007/978-3-030-42750-4 035 $a(CKB)4100000011232686 035 $a(MiAaPQ)EBC6200126 035 $a(DE-He213)978-3-030-42750-4 035 $a(PPN)248395432 035 $a(EXLCZ)994100000011232686 100 $a20200515d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learners and Deep Learner Descriptors for Medical Applications /$fedited by Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (286 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v186 311 $a3-030-42748-X 320 $aIncludes bibliographical references. 330 $aThis book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects. . 410 0$aIntelligent Systems Reference Library,$x1868-4394 ;$v186 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMedical informatics 606 $aBiomedical engineering 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 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 0$aBiomedical engineering. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 615 24$aBiomedical Engineering and Bioengineering. 676 $a610.28 702 $aNanni$b Loris$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBrahnam$b Sheryl$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBrattin$b Rick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGhidoni$b Stefano$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483851403321 996 $aDeep Learners and Deep Learner Descriptors for Medical Applications$92846134 997 $aUNINA