Neural Information Processing

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 2226, 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.

Inhalt
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 Alzheimer's 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.