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E-grāmata: Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13625
  • Izdošanas datums: 12-Apr-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031301117
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13625
  • Izdošanas datums: 12-Apr-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031301117

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The three-volume set LNCS 13623, 13624, and 13625 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 146 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.- A Comparative Analysis of Loss Functions for Handling
Foreground-Background Imbalance in Image Segmentation.- Electron Microscopy
Image Registration with Transformers.- Deps-SAN: Neural Machine Translation
with Dependency-Scaled Self-Attention Network.- A Measurement-Based
Quantum-Like Language Model for Text Matching.- Virtual Try-On via Matching
Relation with Landmark.- WINMLP:Quantum&Involution Inspire False Positive
Reduction In Lung Nodule Detection.- Incorporating Generation Method and
Discourse Structure to Event Coreference Resolution.- CCN: Pavement Crack
Detection With Context Contrasted Net.- Spatial and Temporal Guidance for
Semi-supervised Video Object Segmentation.- A Hybrid Framework based on
Classifier Calibration for Imbalanced Aerial Scene Recognition.- Enhancing
BERT for Short Text Classification with Latent Information.- Unsupervised
Anomaly Segmentation for Brain Lesions using Dual Semantic-Manifold
Reconstruction.- Transformer Based High-frequency Predictive Model for
Visual-haptic Feedback of Virtual Surgery Navigation.- Hierarchical
Multimodal Attention Network Based on Semantically Textual Guidance for Video
Captioning.- Autism Spectrum Disorder Classification of Facial Images using
Xception Model and Transfer Learning with Image Augmentation.- A
Comprehensive Vision-based Model for Commercial Truck Driver Fatigue
Detection.- Automatic Identification of Class Level Refactoring using
Abstract Syntax Tree and Embedding Technique.- Universal Distributional
Decision-based Black-box Adversarial Attack with Reinforcement Learning.-
Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible
Triggers.- NAS-StegNet: Lightweight Image Steganography Networks via Neural
Architecture Search.- FIT: Frequency-based Image Translation for Domain
Adaptive Object Detection.- Single Image Dehazing Using Frequency Attention.-
A Recurrent Point Clouds Selection Method for 3D Dense Captioning.-
Multi-domain Feature Fusion Neural Network for Electrocardiogram
Classification.- Graph-based Contextual Attention Network for Single Image
Deraining.- ADTR: Anomaly Detection Transformer with Feature Reconstruction.-
SCIEnt: A Semantic-feature-based Framework for Core Information Extraction
from Web Pages.- Hierarchical down-sampling based ultra high-resolution image
inpainting.- Vision Transformer With Depth Auxiliary Information For Face
Anti-spoofing.- Dynamically Connected Graph Representation For Object
Detection.- Multi-Class Anomaly Detection.- Understanding Graph and
Understanding Map and their Potential Applications.- BBSN: Bilateral-Branch
Siamese Network for Imbalanced Multi-label Text Classification.- Deep
Hierarchical Semantic Model for Text Matching.- Multimodal Neural Network For
Demand Forecasting.- Image Super-Resolution Based on Adaptive Feature Fusion
Channel Attention.- SGFuion:Camera-LiDAR Semantic and Geometric Fusion for 3D
Object Detection.- SATNet: Captioning with Semantic Alignment and Feature
Enhancement.- Halyomorpha Halys Detection Using Efficient Neural Networks.-
HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D
Images.- In Situ Augmentation for Defending Against Adversarial Attacks on
Text Classifiers.- Relation-guided Dual Hash Network for Unsupervised
Cross-Modal Retrieval.- Prompt-Based Learning for Aspect-Level Sentiment
Classification.- Multi-Knowledge Embeddings Enhanced Topic Modeling for Short
Texts.- Adaptive early classification of time series using deep learning.-
Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent.-
Low Dose CT Image Denoising Using Efficient Transformer With SimpleGate
Mechanism.- iResSENet: An Accurate Convolutional Neural Network for Retinal
Blood Vessel Segmentation.- Evolutionary Action Selection for Gradient-based
Policy Learning.- Building Conversational Diagnosis Systems for Fine-grained
Diseases using Few Annotated Data.- Towards Improving EEG-based Intent
Recognition in Visual SearchTasks.- RVFL Classifier based Ensemble Deep
Learning for Early Diagnosis of Alzheimers Disease.- Anatomical Landmarks
Localization for 3D Foot Point Clouds.- Impact of the composition of feature
extraction and class sampling in medicare fraud detection.- A Hybrid Feature
Selection Approach for Data Clustering Based on Ant Colony Optimization.-
FaceMix: Transferring local regions for data augmentation in face
recognition.- Permissioned Blockchain-based XGBoost for Multi Banks Fraud
Detection.- Rethinking Image Inpainting with Attention Feature Fusion.-
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.