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

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 selec...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tanveer, Mohammad (Editor), Agarwal, Sonali (Editor), Ozawa, Seiichi (Editor), Ekbal, Asif (Editor), Jatowt, Adam (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edición:1st ed. 2023.
Colección:Communications in Computer and Information Science, 1792
Materias:
Acceso en línea:https://doi.org/10.1007/978-981-99-1642-9
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Tabla de Contenidos:
  • 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.