LEADER 00672oam 2200205z- 450 001 9910132363403321 010 $a1-4799-1457-6 035 $a(CKB)3460000000126448 035 $a(EXLCZ)993460000000126448 100 $a20220628c2013uuuu -u- - 101 0 $aeng 200 00$a2013 First IEEE Working Conference on Software Visualization (VISSOFT) 210 $cIEEE 311 $a1-4799-1455-X 517 $a2013 First IEEE Working Conference on Software Visualization 517 $aSoftware Visualization 906 $aPROCEEDING 912 $a9910132363403321 996 $a2013 First IEEE Working Conference on Software Visualization (VISSOFT)$92502247 997 $aUNINA LEADER 01129nas 2200373 c 450 001 9910892872003321 005 20251012104725.0 035 $a(DE-599)ZDB2954816-0 035 $a(OCoLC)1082319034 035 $a(DE-101)1174685433 035 $a(CKB)5700000000339015 035 $a(EXLCZ)995700000000339015 100 $a20190103b20172017 |y | 101 0 $amay 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBanci ekonomi$e= Economic census$h[...]$iPerkhidmatan persendirian dan lain-lain aktiviti = Personal services and other activities$fJabatan Perangkaan Malaysia 210 31$aPutrajaya, Malaysia$cJabatan Perangkaan Malaysia$dOgos 2017 215 $aOnline-Ressource 517 1 $aEconomic census 608 $aZeitschrift$2gnd-content 608 $aStatistik$2gnd-content 676 $a330 676 $a310 712 02$aMalaysia$bJabatan Perangkaan$4isb 801 0$b0206 801 1$bDE-101 801 2$b9999 906 $aJOURNAL 912 $a9910892872003321 996 $aBanci ekonomi$94217337 997 $aUNINA LEADER 05983nam 22007815 450 001 9910682588803321 005 20251225203700.0 010 $a9783031255991 010 $a3031255992 024 7 $a10.1007/978-3-031-25599-1 035 $a(MiAaPQ)EBC7211136 035 $a(Au-PeEL)EBL7211136 035 $a(CKB)26240745100041 035 $a(DE-He213)978-3-031-25599-1 035 $a(PPN)26909248X 035 $a(EXLCZ)9926240745100041 100 $a20230308d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning, Optimization, and Data Science $e8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18?22, 2022, Revised Selected Papers, Part I /$fedited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (639 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13810 311 08$aPrint version: Nicosia, Giuseppe Machine Learning, Optimization, and Data Science Cham : Springer,c2023 9783031255984 320 $aIncludes bibliographical references and index. 327 $aExplainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting -- Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms -- Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling -- Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial -- Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models -- Deep Learning -- Machine Learning -- Reinforcement Learning -- Neural Networks -- Deep Reinforcement Learning -- Optimization -- Global Optimization -- Multi-Objective Optimization -- Computational Optimization -- Data Science -- Big Data -- Data Analytics -- Artificial Intelligence -- Detection of Morality in Tweets based on the Moral Foundation Theory -- Matrix completion for the prediction of yearly country and industry-level CO2 emissions -- A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0 -- A Matrix Factorization-based Drug-virus Link Prediction Method for SARS CoV -- Drug Prioritization -- Hyperbolic Graph Codebooks -- A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages -- Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition -- Machine learning approaches for predicting Crystal Systems: a brief review and a case study -- LS-PON: a Prediction-based Local Search for Neural Architecture Search -- Local optimisation of Nystrm samples through stochastic gradient descent -- Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting -- Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms -- Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling -- Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial -- Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models -- Deep Learning -- Machine Learning -- Reinforcement Learning -- Neural Networks -- Deep Reinforcement Learning -- Optimization -- Global Optimization -- Multi-Objective Optimization -- Computational Optimization -- Data Science -- Big Data -- Data Analytics -- Artificial Intelligence. 330 $aThis two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13810 606 $aInformation technology$xManagement 606 $aComputer networks 606 $aComputer systems 606 $aData structures (Computer science) 606 $aInformation theory 606 $aArtificial intelligence 606 $aMachine learning 606 $aComputer Application in Administrative Data Processing 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aData Structures and Information Theory 606 $aArtificial Intelligence 606 $aMachine Learning 615 0$aInformation technology$xManagement. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 14$aComputer Application in Administrative Data Processing. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aData Structures and Information Theory. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 676 $a060.68 676 $a006.31 702 $aNicosia$b Giuseppe 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910682588803321 996 $aMachine learning, optimization, and data science$91949690 997 $aUNINA