Neural Information Processing [E-Book] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII /

Neural Information Processing [E-Book] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt.

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 selec...

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Agarwal, Sonali, editor
Ekbal, Asif, editor / Jatowt, Adam, editor / Ozawa, Seiichi, editor / Tanveer, Mohammad, editor
1st edition 2023.
Singapore : Springer, 2023
XXXV, 569 pages 193 illustrations, 169 illustrations in color (online resource)
englisch
9789819916481
10.1007/978-981-99-1648-1
Communications in Computer and Information Science ; 1794
Artificial intelligence.
Computer networks .
Computer vision.
Education-Data processing.
Pattern recognition systems.



  • Applications II
  • An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting
  • Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes
  • Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-supervised Video Anomaly Detection
  • Automatically Generating Storylines from Microblogging Platforms
  • Improving Document Image Understanding with Reinforcement Finetuning
  • MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction
  • Vision Transformer-based Federated Learning for COVID-19 Detection using Chest X-ray
  • HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System
  • Multi-level Network Based on Text Attention and Pose-guided for Person Re-ID
  • Sketch Image Style Transfer based on Sketch Density Controlling
  • VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images
  • DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation
  • Efficient-Nets and their Fuzzy Ensemble: An Approach for Skin Cancer Classification
  • A Framework for Software Defect Prediction Using Optimal Hyper-parameters of Deep Neural Network
  • Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition
  • A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis
  • Anomaly detection in surveillance videos using transformer based attention model
  • Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning
  • TeethU2Net: A Deep Learning-Based Approach for Tooth Saliency Detection in Dental Panoramic Radiographs
  • The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks
  • Wine Characterisation with Spectral Information and Predictive Artificial Intelligence
  • MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction
  • Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition
  • Transformer-based Original Content Recovery from Obfuscated PowerShell Scripts
  • A Generic Enhancer for Backdoor Attacks on Deep Neural Networks
  • Attention Based Twin Convolutional Neural Network with Inception Blocks for Plant Disease Detection using Wavelet Transform
  • A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem using Pixel Value Difference Method
  • Deep Ensemble Architecture: A Region Mapping for Chest Abnormalities
  • Privacy-Preserving Federated Learning for Pneumonia Diagnosis
  • Towards Automated Segmentation of Human Abdominal Aorta and Its Branches Using a Hybrid Feature Extraction Module with LSTM
  • p-LSTM: An explainable LSTM architecture for Glucose Level Prediction
  • A Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-based Human Activity Recognition
  • Prediction of the Facial Growth Direction: Regression Perspective
  • A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors
  • PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification
  • An optimized hybrid solution for IoT based lifestyle disease classification using stress data
  • A Deep Concatenated Convolutional Neural Network-based Method to Classify Autism
  • Deep Learning-based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays
  • Dynamic Convolutional Network for Generalizable Face Anti-Spoofing
  • Challenges Of Facial Micro-expression Detection and Recognition : A Survey
  • Biometric Iris Identifier Recognition With Privacy Preserving Phenomenon: A Federated Learning Approach
  • Traffic Flow Forecasting using Attention Enabled Bi-LSTM and GRU Hybrid Model
  • Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification
  • Deep reinforcement learning with comprehensive reward for stock trading
  • Deep Learning based automobile identification application
  • Automatic Firearm Detection in Images and Videos Using YOLO-based Model.