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

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 andtheir 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.