MARC details
| 000 -CABECERA |
|---|
| campo de control de longitud fija |
05330nam a22003855i 4500 |
| 001 - NÚMERO DE CONTROL |
|---|
| campo de control |
397758 |
| 003 - IDENTIFICADOR DEL NÚMERO DE CONTROL |
|---|
| campo de control |
ES-MaUEC |
| 005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN |
|---|
| campo de control |
20240104162612.0 |
| 006 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA--CARACTERÍSTICAS DEL MATERIAL ADICIONAL |
|---|
| campo de control de longitud fija |
a||||fo|||| 00| 0 |
| 007 - CAMPO FIJO DE DESCRIPCIÓN FÍSICA--INFORMACIÓN GENERAL |
|---|
| campo de control de longitud fija |
cr nn 008mamaa |
| 008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL |
|---|
| campo de control de longitud fija |
231125s2024 si | s |||| 0|eng d |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO |
|---|
| Número Internacional Estándar del Libro |
9789819981847 |
| 024 7# - IDENTIFICADOR DE OTROS ESTÁNDARES |
|---|
| Número estándar o código |
10.1007/978-981-99-8184-7 |
| Fuente del número o código |
doi |
| 040 ## - FUENTE DE LA CATALOGACIÓN |
|---|
| Centro catalogador/agencia de origen |
ES-MaUEC |
| Lengua de catalogación |
spa |
| Centro/agencia transcriptor |
ES-MaUEC |
| 050 04 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
|---|
| Número de clasificación |
Q337.5 |
| Número de documento/Ítem |
2024 |
| 050 04 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
|---|
| Número de clasificación |
TK7882.P3 |
| Número de documento/Ítem |
2024 |
| 245 00 - MENCIÓN DE TÍTULO |
|---|
| Título |
Neural Information Processing |
| Resto del título |
: 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XV |
| Mención de responsabilidad, etc. |
edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| 250 ## - MENCIÓN DE EDICIÓN |
|---|
| Mención de edición |
first edition 2024 |
| 264 #1 - PRODUCCIÓN, PUBLICACIÓN, DISTRIBUCIÓN, FABRICACIÓN Y COPYRIGHT |
|---|
| Producción, publicación, distribución, fabricación y copyright |
Singapore |
| Fecha de producción, publicación, distribución, fabricación o copyright |
2024 |
| Nombre del de productor, editor, distribuidor, fabricante |
Springer International Publishing |
| 300 ## - DESCRIPCIÓN FÍSICA |
|---|
| Extensión |
1 recurso en línea |
| 336 ## - TIPO DE CONTENIDO |
|---|
| Término de tipo de contenido |
texto |
| Código de tipo de contenido |
txt |
| Fuente |
rdacontent |
| 337 ## - TIPO DE MEDIO |
|---|
| Nombre/término del tipo de medio |
electrónico |
| Código del tipo de medio |
c |
| Fuente |
rdamedia |
| 338 ## - TIPO DE SOPORTE |
|---|
| Nombre/término del tipo de soporte |
recurso electrónico |
| Código del tipo de soporte |
cr |
| Fuente |
rdacarrier |
| 347 ## - CARACTERÍSTICAS DEL ARCHIVO DIGITAL |
|---|
| Tipo de archivo |
text file |
| Formato de codificación |
PDF |
| 490 0# - MENCIÓN DE SERIE |
|---|
| Mención de serie |
Communications in Computer and Information Science |
| Número Internacional Normalizado para Publicaciones Seriadas |
1865-0937 ; |
| Designación de volumen o secuencia |
1969 |
| 505 0# - NOTA DE CONTENIDO CON FORMATO |
|---|
| Nota de contenido con formato |
Applications -- 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. . |
| 520 ## - SUMARIO, ETC. |
|---|
| Sumario, etc. |
The 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. |
| 988 ## - NOTA LOCAL 598 |
|---|
| Nota local 598 (boletines) |
Springer_Computer_2024 |
| 856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS |
|---|
| Identificador Uniforme del Recurso |
https://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-8184-7 |
| Nota pública |
Acceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 912 ## - |
|---|
| -- |
ZDB-2-SCS |
| 912 ## - |
|---|
| -- |
ZDB-2-SXCS |
| 942 ## - ELEMENTOS DE PUNTO DE ACCESO ADICIONAL (KOHA) |
|---|
| Fuente del sistema de clasificación o colocación |
Library of Congress Classification |
| Tipo de ítem Koha |
LIBRO-E NO PRÉSTAMO |