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

Theory and Algorithms II.- GCD-PKAug: A Gradient Consistency
Discriminator-based Augmentation Method for Pharmacokinetics Time Courses.-
ISP-FESAN: Improving Significant Wave Height Prediction with Feature
Engineering and Self-Attention Network.- Binary Orthogonal Non-negative
Matrix Factorization.- Shifted Chunk Encoder for Transformer Based Streaming
End-to-End ASR.- Interpretable Decision Tree Ensemble Learning with Abstract
Argumentation for Binary Classification.- Adaptive Graph Recurrent Network
for Multivariate Time Series Imputation.- Adaptive Rounding Compensation for
Post-Training Quantization.- More Efficient And Locally Enhanced
Transformer.- ASLEEP: A Shallow neural modEl for knowlEdge graph comPletion.-
A speech enhancement method combining two-branch communication and spectral
subtraction.- A fast and robust Photometric redshift forecasting method using
Lipschitz adaptive learning rate.- Generating Textual Description using
Modified Beam Search.- Disentangling Exploration and Exploitation in Deep
Reinforcement Learning Using Contingency Awareness.- Multi-Grained Fusion
Graph Neural Networks for Sequential Recommendation.- Optimal Design of
Cable-Driven Parallel Robots by Particle Schemes.- UPFP-growth++: An
Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal
Databases.- Active Learning with Weak Supervision for Gaussian Processes.-
HPC based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for
Handling Big Data.- Cognitive Neurosciences.- RTS:A Regional Time Series
Framework for Brain Disease Classification.- Deep Domain Adaptation for
EEG-based Cross-subject Cognitive Workload Recognition.- Graph Convolutional
Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition.-
Detecting Major Depressive Disorder by Graph Neural Network Exploiting
Resting-state Functional MRI.- An Improved Stimulus Reconstruction Method for
EEG-based Short-time Auditory Attention Detection.- Functional Connectivity
of the Brain while Solving Scientific Problems with Uncertainty as Revealed
by Phase Synchronization based on Hilbert Transform.- Optimizing pcsCPD with
Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued
Multi-Subject fMRI Data.- Decoding Brain Signals with Meta-Learning.- Human
Centered Computing.- Research on Answer Generation for Chinese Gaokao
Reading Comprehension.- A Novel Graph Transformer Based Approach Toward
Multi-hop Question Answering.- Logit Distillation via Student Diversity.-
Causal connectivity transition from action observation to mentalizing network
for understanding others action intention.- ND-NER: A Named Entity
Recognition Dataset for OSINT towards the National Defense Domain.-
Extractive Question Answering using Transformer-based LM.- Temporal dynamics
of value integration in perceptual decisions: An EEG study .- Measuring
Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal
Adaptive Graph ConvolutionalNeural Network.- BPMCF: Behavior Preference
Mapping Collaborative Filtering for Multi-Behavior Recommendation.- Neural
Distinguishers on TinyJAMBU-128 and GIFT-64.- Towards Hardware-friendly and
Robust Facial Landmark Detection Method.- Few-shot Class-incremental Learning
for EEG-based Emotion Recognition.- Motor Imagery BCI-based Online Control
Soft Glove Rehabilitation System with Vibrotactile Stimulation.- Multi-level
visual feature enhancement method for visual question answering.- Learning
from Hindsight Demonstrations.- Hindsight Balanced Reward Shaping.- Emotion
Recognition with Facial Attention and Objective Activation Functions.-
M3S-CNN: Resting-state EEG based Multimodal and Multiscale Feature Extraction
for Student Status Prediction in Class.- Towards Human Keypoint Detection in
Infrared Images.- Multi-human intelligence in Instance-Based Learning.- How
the Presence of Cognitive Biases in Phishing Emails Affects Human
Decision-making?.- A simple memory module on reading comprehension.-
Predicting Parkinsons Disease Severity Using Patient-Reported Outcomes and
Genetic Information.- Towards the Development of a Machine Learning-based
Action Recognition Model to Support Positive Behavioural Outcomes in Students
with Autism.- Safety Issues Investigation in Deep Learning based Chatbots
Answers to Medical Advice Requests.