LEADER 00802nam a2200205 i 4500 001 991004363032907536 005 20250204145827.0 008 250122s1918 it er 001 0 ita d 040 $aBibl. Dip.le Aggr. Scienze Giuridiche - Sez. Studi Giuridici$bita$cSocioculturale Scs 041 0 $aita 082 04$a945.080$223 100 1 $aBonghi, Ruggiero$04303 245 10$aDiscorsi parlamentari di Ruggero Bonghi /$cpubblicati per deliberazione della Camera dei deputati 260 $aRoma :$bTipografia della Camera dei deputati ,$c1918 300 $a2 volumi ;$c26 cm 505 00$gVol. 1. -$g1918. -$gXXXV, 812 p., [1] carta di tav. : ritr. 600 14$aBongi, Ruggero$xDiscorsi parlamentari 912 $a991004363032907536 996 $aDiscorsi parlamentari di Ruggero Bonghi$9994923 997 $aUNISALENTO LEADER 08271nam 22006975 450 001 9910512187503321 005 20251225181926.0 010 $a3-030-92270-7 024 7 $a10.1007/978-3-030-92270-2 035 $a(MiAaPQ)EBC6823063 035 $a(Au-PeEL)EBL6823063 035 $a(CKB)20067295700041 035 $a(DE-He213)978-3-030-92270-2 035 $a(PPN)259384984 035 $a(EXLCZ)9920067295700041 100 $a20211206d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8?12, 2021, Proceedings, Part II /$fedited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (703 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13109 311 08$aPrint version: Mantoro, Teddy Neural Information Processing Cham : Springer International Publishing AG,c2022 9783030922696 327 $aTheory and Algorithms -- LSMVC: Low-rank Semi-supervised Multi-view Clustering for Special Equipment Safety Warning -- Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition -- Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction -- Transformer with Prior Language Knowledge for Image Captioning -- Continual Learning with Laplace Operator based Node-Importance Dynamic Architecture Neural Network -- Improving generalization of reinforcement learning for multi-agent combating games -- Gradient Boosting Forest: A Two-Stage Ensemble Method Enabling Federated Learning of GBDTs -- Random Neural Graph Generation with Structure Evolution -- MatchMaker: Aspect-Based Sentiment Classification via Mutual Information -- PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling -- Label Preserved Heterogeneous Network Embedding -- Spatio-Temporal Dynamic Multi-Graph Attention Network for Ride-hailing Demand Prediction -- An Implicit Learning Approach for Solving the Nurse Scheduling Problem -- Improving Goal-Oriented Visual Dialogue by Asking Fewer Questions -- Balance Between Performance and Robustness of Recurrent Neural Networks brought by Brain-inspired Constraints on Initial Structure -- Single-Image Smoker Detection by Human-Object Interaction with Post-Refinement -- A Lightweight Multi-scale Feature Fusion Network For Real-time Semantic Segmentation -- Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering -- Handling the Deviation from Isometry between Domains and Languages in Word Embeddings: Applications to Biomedical Text Translation -- Inference in Neural Networks Using Conditional Mean-Field Methods -- Associative Graphs for Fine-Grained Text Sentiment Analysis -- k-Winners-Take-All Ensemble Neural Network -- Performance Improvement of FORCE Learning for Chaotic Echo State Networks -- Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation -- Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing -- Kernelized Transfer Feature Learning on Manifolds -- Data-Free Knowledge Distillation with Positive-Unlabeled Learning -- Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation -- Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions -- Neural Network Pruning via Genetic Wavelet Channel Search -- Binary Label-aware Transfer Learning for Cross-domain Slot Filling -- Condition-Invariant Physical Adversarial Attacks via Pixel-wise Adversarial Learning -- Multiple Partitions Alignment with Adaptive Similarity Learning -- Recommending best course of treatment based on similarities of prognostic markers -- Generative Adversarial Negative Imitation Learning from Noisy Demonstrations -- Detecting Helmets on Motorcyclists by Deep Neural Networks with aDual-Detection Scheme -- Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting -- Disentangled Feature Network for Fine-Grained Recognition -- Large-Scale Topological Radar Localization Using Learned Descriptors -- Rethinking binary hyperparameters for deep transfer learning -- Human Centred Computing -- Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction -- Stress Recognition in Thermal Videos using Bi-Directional Long-Term Recurrent Convolutional Neural Networks -- StressNet: A Deep Neural Network based on Dynamic Dropout Layers for Stress Recognition -- Analyzing Vietnamese Legal Questions using Deep Neural Networks with Biaffine Classifiers -- BenAV: A Bengali Audio-Visual Corpus for Visual Speech Recognition -- Investigation of Different G2P Schemes for Speech Recognition in Sanskrit -- GRU with Level-Aware Attention for Rumor Early Detection in Social Networks -- Convolutional Feature-interacted FactorizationMachines for Sparse Contextual Prediction -- A Lightweight Multidimensional Self-Attention Network for Fine-grained Action Recognition -- Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation -- Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition -- Self-Adaptive Graph Neural Networks for Personalized Sequential Recommendation -- Spitial-Temporal Attention Network with Multi-Similarity Loss for Fine-Grained Skeleton-Based Action Recognition -- SRGAT: Social Relational Graph Attention Network for Human Trajectory Prediction -- FSE: A powerful feature augmentation technique for classification task -- AI and Cybersecurity -- FHTC: Few-shot Hierarchical Text Classification in Financial Domain -- JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism. 330 $aThe four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13109 606 $aPattern recognition systems 606 $aMachine learning 606 $aEducation$xData processing 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aAutomated Pattern Recognition 606 $aMachine Learning 606 $aComputers and Education 606 $aComputer Vision 606 $aComputer Engineering and Networks 615 0$aPattern recognition systems. 615 0$aMachine learning. 615 0$aEducation$xData processing. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aAutomated Pattern Recognition. 615 24$aMachine Learning. 615 24$aComputers and Education. 615 24$aComputer Vision. 615 24$aComputer Engineering and Networks. 676 $a006.32 702 $aMantoro$b Teddy 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910512187503321 996 $aNeural Information Processing$92554499 997 $aUNINA