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Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V
Title
Neural Information Processing [electronic resource] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt.
ISBN
9789819916429
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XXXV, 609 p.) 196 illus., 173 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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 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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
May 09, 2023
Series
Communications in Computer and Information Science, 1792
Contents
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 other's 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 Convolutional Neural 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 Parkinson's 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.
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