LEADER 01315nam 2200445 450 001 9910826503103321 005 20230307194756.0 010 $a84-9052-278-2 035 $a(CKB)4100000011290539 035 $a(OCoLC)1199301562 035 $a(FINmELB)ELB129435 035 $a(MiAaPQ)EBC7098785 035 $a(Au-PeEL)EBL7098785 035 $a(EXLCZ)994100000011290539 100 $a20230307d2020 uy 0 101 0 $aspa 135 $aurcn||||||||| 181 $ctxt$2rdacontent/spa 182 $cc$2rdamedia/spa 183 $acr$2rdacarrier/spa 200 10$aAdolescentes ¡a la mesa! $eensen?ar a comer sano y prevenir la obesidad y la ateroesclerosis /$fPedro Frontera Izquierdo 210 1$aMadrid, Spain :$cEdiciones Diaz de Santos S.A.,$d[2020] 210 4$d©2020 215 $a1 recurso en li?nea (187 pa?ginas) 311 $a84-9052-257-X 606 $aNutrition 606 $aTeenagers$xNutrition 606 $aFood habits 615 0$aNutrition. 615 0$aTeenagers$xNutrition. 615 0$aFood habits. 676 $a613.20835 700 $aFrontera Izquierdo$b Pedro$01603528 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910826503103321 996 $aAdolescentes ¡a la mesa$93927922 997 $aUNINA LEADER 03521nam 22007455 450 001 9910616207403321 005 20251225213436.0 010 $a9783031175879 010 $a3031175875 024 7 $a10.1007/978-3-031-17587-9 035 $a(CKB)5690000000035315 035 $a(MiAaPQ)EBC7102184 035 $a(Au-PeEL)EBL7102184 035 $a(PPN)264953436 035 $a(BIP)85817881 035 $a(BIP)85466713 035 $a(DE-He213)978-3-031-17587-9 035 $a(EXLCZ)995690000000035315 100 $a20220927d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aContinual Semi-Supervised Learning $eFirst International Workshop, CSSL 2021, Virtual Event, August 19?20, 2021, Revised Selected Papers /$fedited by Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (148 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13418 300 $aIncludes index. 311 08$a9783031175862 311 08$a3031175867 327 $aInternational Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines -- Unsupervised Continual Learning Via Pseudo Labels -- Transfer and Continual Supervised Learning for Robotic Grasping through Grasping Features -- Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach -- Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments -- A Benchmark and Empirical Analysis for Replay Methods in Continual Learning -- SPeCiaL: Self-Supervised Pretraining for Continual Learning -- Distilled Replay: Overcoming Forgetting through Synthetic Samples -- Self-supervised Novelty Detection for Continual Learning: A Gradient-based Approach Boosted by Binary Classification. 330 $aThis book constitutes the proceedings of the First International Workshop on Continual Semi-Supervised Learning, CSSL 2021, which took place as a virtual event during August 2021.The 9 full papers and 0 short papers included in this book were carefully reviewed and selected from 14 submissions. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13418 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aEducation$xData processing 606 $aSocial sciences$xData processing 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputers and Education 606 $aComputer Application in Social and Behavioral Sciences 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aEducation$xData processing. 615 0$aSocial sciences$xData processing. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputers and Education. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.31 676 $a006.31 702 $aCuzzolin$b Fabio 702 $aCannons$b Kevin 702 $aLomonaco$b Vincenzo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910616207403321 996 $aContinual semi-supervised learning$93039154 997 $aUNINA