LEADER 01191nam0-2200385---450- 001 990001000650203316 005 20081204103706.0 010 $a88-453-0531-7 035 $a0100065 035 $aUSA010100065 035 $a(ALEPH)000100065USA01 035 $a0100065 100 $a20020227d1992----km-y0ITAy01------ba 101 $aita 102 $aIT 105 $a00||| 200 1 $a<> operazioni di privatizzazione$eesperienze internazionali e opportunitą per l'Italia$fPaolo Vantellini 210 $aMilano$cETAS libri$d1992 215 $aX, 197 p.$d25 cm 225 2 $aGestione d'impresa.$iFinanza 410 0$12001$aGestione d'impresa.$iFinanza 676 $a338.945 700 1$aVANTELLINI,$bPaolo$0115536 801 0$aIT$bsalbc$gISBD 912 $a990001000650203316 951 $a338.945 VAN 1 (IRA 6 91)$b236 EC$cIRA 6$d00009351 959 $aBK 969 $aECO 979 $aPATTY$b90$c20020227$lUSA01$h1136 979 $aPATTY$b90$c20020227$lUSA01$h1137 979 $c20020403$lUSA01$h1741 979 $aPATRY$b90$c20040406$lUSA01$h1709 979 $aRSIAV2$b90$c20081204$lUSA01$h1037 996 $aOperazioni di privatizzazione$9197494 997 $aUNISA LEADER 01044nam--2200361---450- 001 990005888100203316 005 20130920133111.0 010 $a88-7228-487-2 035 $a000588810 035 $aUSA01000588810 035 $a(ALEPH)000588810USA01 035 $a000588810 100 $a20130920d2006----km-y0itay50------ba 101 0 $aita$alat 102 $aIT 105 $a||||||||001yy 200 1 $aLettera ai posteri$eOvidio, Tristia, 4, 10$fAldo Luisi 210 $aBari$cEdipuglia$d2006 215 $a190 p.$d24 cm 225 2 $aQuaderni di Invigilata Lucernis$v30 410 0$12001$aQuaderni di Invigilata Lucernis$v30 600 1$aOvidius Naso,$bPublius 676 $a871.01 700 1$aLUISI,$bAldo$0169731 801 0$aIT$bsalbc$gISBD 912 $a990005888100203316 951 $aV.3.A. 477$b242178 L.M.$cV.3.A.$d00314920 959 $aBK 969 $aUMA 979 $aPASSARO$b90$c20130920$lUSA01$h1329 979 $aPASSARO$b90$c20130920$lUSA01$h1331 996 $aLettera ai posteri$91074560 997 $aUNISA LEADER 06206nam 22006495 450 001 9910768464503321 005 20240326123641.0 010 $a981-9981-84-0 024 7 $a10.1007/978-981-99-8184-7 035 $a(MiAaPQ)EBC30971116 035 $a(Au-PeEL)EBL30971116 035 $a(DE-He213)978-981-99-8184-7 035 $a(CKB)29038516800041 035 $a(EXLCZ)9929038516800041 100 $a20231125d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e30th International Conference, ICONIP 2023, Changsha, China, November 20?23, 2023, Proceedings, Part XV /$fedited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (531 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1969 311 08$aPrint version: Luo, Biao Neural Information Processing Singapore : Springer,c2024 320 $aIncludes bibliographical references and index. 327 $aApplications -- Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation -- RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study -- Effective skill learning on vascular robotic systems: Combining offline and online reinforcement learning -- Exploring Efficient-Tuned Learning Audio Representation Method from BriVL -- Can You Really Reason: A Novel Framework for Assessing Natural Language Reasoning Datasets and Models -- End-to-End Urban Autonomous Navigation with Decision Hindsight -- Identifying Self-Admitted Technical Debt with Context-based Ladder Network -- NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction -- Customized Anchors Can Better Fit the Target in Siamese Tracking -- Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases -- Progressive Supervision for Tampering Localization in Document Images -- Multi-granularity Deep Vulnerability Detection using Graph Neural Networks -- Rumor Detection with Supervised Graph Contrastive Regularization -- A Meta Learning-based Training Algorithm for Robust Dialogue Generation -- Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving -- HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai -- Pre-trained Financial Model for Price Movement Forecasting -- Impulsion of Movie?s Content-Based Factors in Multi-Modal Movie Recommendation System -- Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention -- Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction -- BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval -- Learning Discriminative Semantic and Multi-View Context for Domain Adaptive Few-shot Relation Extraction -- ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction -- Implicit Clothed Human Reconstruction Based on Self-attention and SDF -- Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data -- An Attack Entity Deducing Model for Attack Forensics -- Semi-supervised classification on data streams with recurring concept drift based on conformal prediction -- Zero-shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation -- Parallelizable Simple Recurrent Units with Hierarchical Memory -- Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types -- MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network -- Multiclass Classification and Defect Detection of Steel tube using modified YOLO -- GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction -- TEZARNet : TEmporal Zero-shot Activity Recognition Network -- Tigrinya OCR: Applying CRNN for Text Recognition -- Generating Pseudo-Labels for Car Damage Segmentation using Deep Spectral Method -- Two-Stage Graph Convolutional Networks for Relation Extraction -- Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network. . 330 $aThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1969 606 $aPattern recognition systems 606 $aComputer science 606 $aData mining 606 $aData structures (Computer science) 606 $aInformation theory 606 $aAutomated Pattern Recognition 606 $aTheory and Algorithms for Application Domains 606 $aData Mining and Knowledge Discovery 606 $aData Structures and Information Theory 615 0$aPattern recognition systems. 615 0$aComputer science. 615 0$aData mining. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 14$aAutomated Pattern Recognition. 615 24$aTheory and Algorithms for Application Domains. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Structures and Information Theory. 676 $a006.3 702 $aLuo$b Biao 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768464503321 996 $aNeural Information Processing$92554499 997 $aUNINA