Del 1792 - Communications in Computer and Information Science

Neural Information Processing

29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part V

Häftad, Engelska, 2023

Av Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt

1 449 kr

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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.

Produktinformation

Utgivningsdatum2023-04-15
Mått155 x 235 x undefined mm
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor609
FörlagSpringer Verlag, Singapore
EAN9789819916412

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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.