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Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part V de Mohammad Tanveer

Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part V: Communications in Computer and Information Science, cartea 1792

Editat de Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
en Limba Engleză Paperback – 15 apr 2023
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.
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Specificații

ISBN-13: 9789819916412
ISBN-10: 9819916410
Pagini: 609
Ilustrații: XXXV, 609 p. 196 illus., 173 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.89 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Singapore, Singapore

Cuprins

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 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 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.