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001450017 001__ 1450017
001450017 003__ OCoLC
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001450017 019__ $$a1346537472
001450017 020__ $$a9783031175879$$q(electronic bk.)
001450017 020__ $$a3031175875$$q(electronic bk.)
001450017 020__ $$z9783031175862$$q(print)
001450017 020__ $$z3031175867
001450017 0247_ $$a10.1007/978-3-031-17587-9$$2doi
001450017 035__ $$aSP(OCoLC)1346569755
001450017 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001450017 049__ $$aISEA
001450017 050_4 $$aQ325.75
001450017 08204 $$a006.3/1$$223/eng/20221004
001450017 1112_ $$aInternational Workshop on Continual Semi-Supervised Learning$$n(1st :$$d2021 :$$cOnline)
001450017 24510 $$aContinual semi-supervised learning :$$bfirst International Workshop, CSSL 2021, Virtual event, August 19-20, 2021, Revised selected papers /$$cFabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco (eds.).
001450017 2463_ $$aCSSL 2021
001450017 264_1 $$aCham :$$bSpringer,$$c2022.
001450017 300__ $$a1 online resource (xiii, 135 pages) :$$billustrations (some color).
001450017 336__ $$atext$$btxt$$2rdacontent
001450017 337__ $$acomputer$$bc$$2rdamedia
001450017 338__ $$aonline resource$$bcr$$2rdacarrier
001450017 4901_ $$aLecture notes in artificial intelligence
001450017 4901_ $$aLecture notes in computer science ;$$v13418
001450017 4901_ $$aLNCS sublibrary, SL 7, artificial intelligence
001450017 500__ $$aIncludes author index.
001450017 5050_ $$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.
001450017 506__ $$aAccess limited to authorized users.
001450017 520__ $$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.
001450017 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 4, 2022).
001450017 650_0 $$aSupervised learning (Machine learning)$$vCongresses.
001450017 655_0 $$aElectronic books.
001450017 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001450017 7001_ $$aCuzzolin, Fabio,$$eeditor.$$1https://orcid.org/0000-0002-9271-2130
001450017 7001_ $$aCannons, Kevin,$$eeditor.
001450017 7001_ $$aLomonaco, Vincenzo,$$eeditor.$$0(orcid)0000-0001-8308-6599$$1https://orcid.org/0000-0001-8308-6599
001450017 77608 $$iPrint version: $$z3031175867$$z9783031175862$$w(OCoLC)1342620354
001450017 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001450017 830_0 $$aLecture notes in computer science ;$$v13418.
001450017 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001450017 852__ $$bebk
001450017 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17587-9$$zOnline Access$$91397441.1
001450017 909CO $$ooai:library.usi.edu:1450017$$pGLOBAL_SET
001450017 980__ $$aBIB
001450017 980__ $$aEBOOK
001450017 982__ $$aEbook
001450017 983__ $$aOnline
001450017 994__ $$a92$$bISE