LEADER 04578nam 22007575 450 001 9910682551003321 005 20230428191334.0 010 $a3-031-26422-3 024 7 $a10.1007/978-3-031-26422-1 035 $a(CKB)5580000000525095 035 $a(DE-He213)978-3-031-26422-1 035 $a(EXLCZ)995580000000525095 100 $a20230317d2023 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Knowledge Discovery in Databases$b[electronic resource] $eEuropean Conference, ECML PKDD 2022, Grenoble, France, September 19?23, 2022, Proceedings, Part VI /$fedited by Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (XLVIII, 669 p. 205 illus., 191 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13718 311 $a3-031-26421-5 327 $aTime series -- Financial machine learning -- Applications -- Applications: transportation -- Demo track. 330 $aThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13718 606 $aArtificial intelligence 606 $aComputers 606 $aComputer engineering 606 $aComputer networks 606 $aImage processing?Digital techniques 606 $aComputer vision 606 $aSoftware engineering 606 $aSocial sciences?Data processing 606 $aArtificial Intelligence 606 $aComputing Milieux 606 $aComputer Engineering and Networks 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSoftware Engineering 606 $aComputer Application in Social and Behavioral Sciences 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aImage processing?Digital techniques. 615 0$aComputer vision. 615 0$aSoftware engineering. 615 0$aSocial sciences?Data processing. 615 14$aArtificial Intelligence. 615 24$aComputing Milieux. 615 24$aComputer Engineering and Networks. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSoftware Engineering. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.3 702 $aAmini$b Massih-Reza$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCanu$b Stéphane$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFischer$b Asja$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGuns$b Tias$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKralj Novak$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTsoumakas$b Grigorios$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910682551003321 996 $aMachine Learning and Knowledge Discovery in Databases$9773712 997 $aUNINA