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Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 2226, 2022, Proceedings, Part VI 2023 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 714 pages, height x width: 235x155 mm, weight: 1133 g, 221 Illustrations, color; 25 Illustrations, black and white; XXXVI, 714 p. 246 illus., 221 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1793
  • Izdošanas datums: 15-Apr-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819916445
  • ISBN-13: 9789819916443
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 714 pages, height x width: 235x155 mm, weight: 1133 g, 221 Illustrations, color; 25 Illustrations, black and white; XXXVI, 714 p. 246 illus., 221 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1793
  • Izdošanas datums: 15-Apr-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819916445
  • ISBN-13: 9789819916443
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.
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.