LEADER 01010cam0-22003011i-450- 001 990002857530403321 005 20130208105909.0 035 $a000285753 035 $aFED01000285753 035 $a(Aleph)000285753FED01 035 $a000285753 100 $a20030910d1995----km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $aCommercio e grande distribuzione$ela sfida del 2000$estrategie politiche, produttive e di marketing di un settore in movimento$fNicola Dante Basile, Riccardo Garosci$gprefazione di Luigi Guatri 210 $aMilano$cIl Sole 24 ore libri$d1995 215 $aXVI, 226 p.$d24 cm 610 0 $aItalia$aCommercio$a1990-1995 676 $a381.0945$v20$zita 700 1$aBasile,$bNicola Dante$f<1948- >$089554 701 1$aGarosci,$bRiccardo$0116462 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990002857530403321 952 $a4-8-536-TI$b5266 DEA$fECA 959 $aECA 996 $aCommercio e grande distribuzione$9415497 997 $aUNINA LEADER 01018nam a2200253 a 4500 001 991001207529707536 008 110512r18632009it 001 0 ita 020 $a9788883491207 035 $ab13977878-39ule_inst 040 $aDip.to Studi Storici$bita 082 04$a945.7084 100 1 $aDumas, Alexandre$c$0176848 245 10$aCento anni di brigantaggio nelle province meridionali d'Italia /$cAlessandro Dumas ; a cura di Valentino Romano 260 $aLecce :$bCapone,$c[2009] 300 $a246 p. ;$c21 cm 440 0$aCarte scoperte ;$v2 500 $aRist. dell'ed.: Napoli : S. De Marco, 1863. 700 1 $aRomano, Valentino 907 $a.b13977878$b02-04-14$c12-05-11 912 $a991001207529707536 945 $aLE023 945.708 DUM 1 1 $g1$i2023000128633$lle023$o-$pE13.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i15288377$z24-06-11 996 $aCento anni di brigantaggio nelle province meridionali d'Italia$9246648 997 $aUNISALENTO 998 $ale023$b12-05-11$cm$da $e-$fita$git $h0$i0 LEADER 06814nam 2200505 450 001 996547957003316 005 20230801215700.0 010 $a981-9916-42-9 024 7 $a10.1007/978-981-99-1642-9 035 $a(CKB)5590000001037858 035 $a(DE-He213)978-981-99-1642-9 035 $a(MiAaPQ)EBC7238851 035 $a(Au-PeEL)EBL7238851 035 $a(PPN)269656316 035 $a(EXLCZ)995590000001037858 100 $a20230801d2023 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNeural Information Processing$hPart V $e29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings /$fMohammad Tanveer [and four others], editors 205 $aFirst edition. 210 1$aSingapore :$cSpringer,$d[2023] 210 4$d©2023 215 $a1 online resource (XXXV, 609 p. 196 illus., 173 illus. in color.) 225 1 $aCommunications in Computer and Information Science Series ;$vVolume 1792 311 $a981-9916-41-0 320 $aIncludes bibliographical references and index. 327 $aTheory and Algorithms II -- GCD-PKAug: A Gradient Consistency Discriminator-based Augmentation Method for Pharmacokinetics Time Courses -- ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-Attention Network -- Binary Orthogonal Non-negative Matrix Factorization -- Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR -- Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification -- Adaptive Graph Recurrent Network for Multivariate Time Series Imputation -- Adaptive Rounding Compensation for Post-Training Quantization -- More Efficient And Locally Enhanced Transformer -- ASLEEP: A Shallow neural modEl for knowlEdge graph comPletion -- A speech enhancement method combining two-branch communication and spectral subtraction -- A fast and robust Photometric redshift forecasting method using Lipschitz adaptive learning rate -- Generating Textual Description using Modified Beam Search -- Disentangling Exploration and Exploitation in Deep Reinforcement Learning Using Contingency Awareness -- Multi-Grained Fusion Graph Neural Networks for Sequential Recommendation -- Optimal Design of Cable-Driven Parallel Robots by Particle Schemes -- UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases -- Active Learning with Weak Supervision for Gaussian Processes -- HPC based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data -- Cognitive Neurosciences -- RTS:A Regional Time Series Framework for Brain Disease Classification -- Deep Domain Adaptation for EEG-based Cross-subject Cognitive Workload Recognition -- Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition -- Detecting Major Depressive Disorder by Graph Neural Network Exploiting Resting-state Functional MRI -- An Improved Stimulus Reconstruction Method for EEG-based Short-time Auditory Attention Detection -- Functional Connectivity of the Brain while Solving Scientific Problems with Uncertainty as Revealed by Phase Synchronization based on Hilbert Transform -- Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-Subject fMRI Data -- Decoding Brain Signals with Meta-Learning -- Human Centered Computing -- Research on Answer Generation for Chinese Gaokao Reading Comprehension -- A Novel Graph Transformer Based Approach Toward Multi-hop Question Answering -- Logit Distillation via Student Diversity -- Causal connectivity transition from action observation to mentalizing network for understanding other?s action intention -- ND-NER: A Named Entity Recognition Dataset for OSINT towards the National Defense Domain -- Extractive Question Answering using Transformer-based LM -- Temporal dynamics of value integration in perceptual decisions: An EEG study -- Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network -- BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-Behavior Recommendation -- Neural Distinguishers on TinyJAMBU-128 and GIFT-64 -- Towards Hardware-friendly and Robust Facial Landmark Detection Method -- Few-shot Class-incremental Learning for EEG-based Emotion Recognition -- Motor Imagery BCI-based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation -- Multi-level visual feature enhancement method for visual question answering -- Learning from Hindsight Demonstrations -- Hindsight Balanced Reward Shaping -- Emotion Recognition with Facial Attention and Objective Activation Functions -- M3S-CNN: Resting-state EEG based Multimodal and Multiscale Feature Extraction for Student Status Prediction in Class -- Towards Human Keypoint Detection in Infrared Images -- Multi-human intelligence in Instance-Based Learning -- How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-making? -- A simple memory module on reading comprehension -- Predicting Parkinson?s Disease Severity Using Patient-Reported Outcomes and Genetic Information -- Towards the Development of a Machine Learning-based Action Recognition Model to Support Positive Behavioural Outcomes in Students with Autism -- Safety Issues Investigation in Deep Learning based Chatbots Answers to Medical Advice Requests. 330 $aThe four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22?26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. 410 0$aCommunications in computer and information science ;$vVolume 1792. 606 $aNeural computers$vCongresses 606 $aNeural networks (Computer science)$vCongresses 615 0$aNeural computers 615 0$aNeural networks (Computer science) 676 $a006.3 702 $aTanveer$b Mohammad 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996547957003316 996 $aNeural Information Processing$92554499 997 $aUNISA