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Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI de Mohammad Tanveer

Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI: Communications in Computer and Information Science, cartea 1793

Editat de Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
en Limba Engleză Paperback – 15 apr 2023
The 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.
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Specificații

ISBN-13: 9789819916443
ISBN-10: 9819916445
Pagini: 714
Ilustrații: XXXVI, 714 p. 246 illus., 221 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.03 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Singapore, Singapore

Cuprins

​Applications.- Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting.- ScriptNet: A Two Stream CNN for Script Identification in Camera-based Document Images.- Projected Entangled Pair State Tensor Network for Colour Image and Video Completion.- Artificial Neural Networks for Downbeat Estimation and Varying Tempo Induction in Music Signals.- FedSpam: Privacy Preserving SMS Spam Detection.- Point Cloud Completion with Difference-aware Point Voting.- External Knowledge and Data Augmentation Enhanced Model for Chinese Short Text Matching.- Improving Oracle Bone Characters Recognition via A CycleGAN-based Data Augmentation Method.- Local-Global Interaction and Progressive Aggregation for Video Salient Object Detection.- A Fast Stain Normalization Network for Cervical Papanicolaou Images.- MEW: Evading Ownership Detection Against Deep Learning Models.- Spatial-Temporal Graph Transformer for Skeleton-Based Sign Language Recognition.- Combining Traffic Assignment and Traffic Signal Control for Online Traffic Flow Optimization.- Convolve with Wind: Parallelized Line Integral Convolutional Network for Ultra Short-term Wind Power Prediction of Multi-wind Turbines.- BOTTOM-UP TRANSFORMER REASONING NETWORK FOR TEXT-IMAGE RETRIEVAL.- Graph Attention Mixup Transformer for Graph Classification.- Frequency Spectrum with Multi-head Attention for Face Forgery Detection.- Autoencoder-based Attribute Noise Handling Method for Medical Data.- A Machine-Reading-Comprehension Method for Named Entity Recognition in Legal Documents.- Cross-Modality Visible-Infrared Person Re-Identification with Multi-Scale Attention and Part Aggregation.- Bearing Fault Diagnosis based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions.- Automatic Language Identification for Celtic Texts.- Span Detection for Kinematics Word Problems.- Emotion-aided Multi-modal Personality Prediction System.- Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition.- Deep Global and Local Matching Network for Implicit Recommendation.- A Bi-Hemisphere Capsule Network Model for Cross-Subject EEG Emotion Recognition.- Attention 3D Fully Convolutional Neural Network for False Positive Reduction of Lung Nodule Detection.- A Novel Optimized Context-Based Deep Architecture for Scene Parsing.- Resnet-2D-ConvLstm: A means to extract features from Hyperspectral Image.- An application of MCDA methods in sustainable information systems.- Decision support system for sustainable transport development.- Image Anomaly Detection and Localization Using Masked Autoencoder.- Cross-domain Object Detection Model via Contrastive Learning with Style Transfer.- A Spatio-temporal Event Data Augmentation Method for Dynamic Vision Sensor.- FCFNet: a Network Fusing Color Features and Focal Loss for Diabetic Foot Ulcer Image Classification.- ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection.- Image Captioning with Local-Global Visual Interaction Network.- Rethinking Voxelization and Classification for 3D Object Detection.- GhostVec: Directly Extracting Speaker Embedding from End-to-End Speech Recognition Model using Adversarial Examples.- An End-to-End Chinese and Japanese Bilingual Speech Recognition Systems with Shared Character Decomposition.- An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection.- Investigating Effective Domain Adaptation Method for Speaker Verification Task.- Real-time inertial foot-ground contact detection based on SVM.- Channel Spatial Collaborative Attention Network for Fine-grained Classification of Cervical Cells.- Multimodal Learning of Audio-visual Speech Recognition with Liquid State Machine.- Identification of Fake News: A Semantic Driven Technique for Transfer Domain.- Portrait Matting Network with Essential Feature Mining and Fusion.- Hybrid-Supervised Network for 3D Renal Tumor Segmentation in Abdominal CT.- Double Attention-based Lightweight Network for Plant Pest Recognition.- A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion.- Sequential Recommendation based on Multi-View Graph Neural Networks.- Cross-Domain Reinforcement Learning for Sentiment Analysis.- PPIR-Net: An Underwater Image Restoration Framework Using Physical Priors.- Denoising fMRI Message on Population Graph for Multi-site Disease Prediction.- CATM: Candidate-aware Temporal Multi-head Self-attention News Recommendation Model.- Variational Graph Embedding for Community Detection.- Counterfactual Causal Adversarial Networks for Domain Adaptation.