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Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part III /

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 select...

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Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Tanveer, Mohammad (Editor), Agarwal, Sonali (Editor), Ozawa, Seiichi (Editor), Ekbal, Asif (Editor), Jatowt, Adam (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2023.
Izdaja:1st ed. 2023.
Serija:Lecture Notes in Computer Science, 13625
Teme:
Pattern recognition systems.
Data mining.
Machine learning.
Social sciences > Data processing.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Machine Learning.
Computer Application in Social and Behavioral Sciences.
Online dostop:https://doi.org/10.1007/978-3-031-30111-7
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Kazalo:
  • 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.

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