LEADER 01275nam--2200433---450- 001 990001094930203316 005 20150710113823.0 035 $a000109493 035 $aUSA01000109493 035 $a(ALEPH)000109493USA01 035 $a000109493 100 $a20021105d1972----km-y0itay0103----ba 101 $afre 102 $aFR 105 $ay|||z|||001yy 200 1 $aTroubadours et cours d'amour$fpar Jacques Lafitte-Houssat 205 $a4. ed. 210 $aParis$cPresses Universitaires de France$d1972 215 $a124 p.$d18 cm 225 2 $aQue sais-je?$v422 410 1$12001$aQue sais-je? 606 0 $aTrovatori e trovieri 606 0 $aPoesia trovadorica 606 0 $aPoesia provenzale 606 0 $aAmore nella letteratura 676 $a849.1 700 1$aLAFITTE-HOUSSAT,$bJacques$0201479 801 0$aIT$bsalbc$gISBD 912 $a990001094930203316 951 $aPAP 830$bL.M.$cPAP$d00083770 959 $aBK 969 $aPAP 979 $aPAOLA$b90$c20021105$lUSA01$h1646 979 $aPAOLA$b90$c20021108$lUSA01$h1029 979 $aPATRY$b90$c20040406$lUSA01$h1716 979 $aGIUSY$b90$c20150710$lUSA01$h1134 979 $aGIUSY$b90$c20150710$lUSA01$h1138 996 $aTroubadours et cours d'amour$976526 997 $aUNISA LEADER 03672nam 22006375 450 001 996546829503316 005 20230706100738.0 010 $a3-031-37320-0 024 7 $a10.1007/978-3-031-37320-6 035 $a(MiAaPQ)EBC30621294 035 $a(Au-PeEL)EBL30621294 035 $a(DE-He213)978-3-031-37320-6 035 $a(PPN)272251356 035 $a(EXLCZ)9927498430500041 100 $a20230706d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning Theory and Applications$b[electronic resource] $eFirst International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7?9, 2021, Revised Selected Papers /$fedited by Ana Fred, Carlo Sansone, Kurosh Madani 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (163 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1854 311 08$aPrint version: Fred, Ana Deep Learning Theory and Applications Cham : Springer,c2023 9783031373190 327 $aAlternative Data Augmentation for Industrial Monitoring using Adversarial Learning -- Multi-stage Conditional GAN Architectures for Person-image Generation -- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment -- Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks -- Forecasting the UN Sustainable Development Goals -- Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement -- Crack Detection on Brick Walls by Convolutional Neural Networks using the Methods of Sub-Dataset Generation and Matching. 330 $aThis book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7?9, 2021. The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1854 606 $aArtificial intelligence 606 $aComputer systems 606 $aComputer networks 606 $aComputer science?Mathematics 606 $aArtificial Intelligence 606 $aComputer System Implementation 606 $aComputer Communication Networks 606 $aMathematics of Computing 615 0$aArtificial intelligence. 615 0$aComputer systems. 615 0$aComputer networks. 615 0$aComputer science?Mathematics. 615 14$aArtificial Intelligence. 615 24$aComputer System Implementation. 615 24$aComputer Communication Networks. 615 24$aMathematics of Computing. 676 $a006.3 700 $aFred$b Ana$01372767 701 $aSansone$b Carlo$01372864 701 $aMadani$b Kurosh$0929700 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546829503316 996 $aDeep Learning Theory and Applications$93403785 997 $aUNISA