Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 2226, 2022, Proceedings, Part II 2023 ed. [Mīkstie vāki]

Cognitive Neurosciences.- Differences in Brain Activation during Physics
Problem Solving across Students with Various Learning Progression:
Electrophysiological Evidence based on Detrended Fluctuation analysis.- A
dynamic, economical, and robust coding scheme in the lateral prefrontal
neurons of monkeys.- Dynamic Characteristics of Micro-state Transition
Defined by Instantaneous Frequency in the Electroencephalography of
Schizophrenia Patients.- Lagrange Programming Neural Networks for Sparse
Portfolio Design.- An Adaptive Convolution Auto-encoder based on Spiking
Neurons.- Schizophrenia detection based on EEG using Recurrent Auto-Encoder
framework.- Functional Roles of Amygdala and Orbitofrontal Cortex in Adaptive
Behavior.- A Multiclass EEG Signal Classification Model using Channel
Interaction Maximization and Multivariate Empirical Mode Decomposition.-
MVNet: Memory Assistance and Vocal Reinforcement Network for Speech
Enhancement.- Learning Associative Reasoning Towards Systematicity using
Modular Networks.- Identifying dominant emotion in positive and negative
groups of Navrasa using functional brain connectivity patterns.- A
Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint.-
Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker.- A
Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole
Brain Dynamics in terms of BOLD signal.- Explainable Causal Analysis of
Mental Health on Social Media Data.- Brain-inspired attention model for
object counting.- Human Centered Computing.- Emotion Detection from Viariable
Conversation Context.- Multi-relation Word Pair Tag Space for Joint Entity
and Relation Extraction.- Efficient Policy Generation in Multi-Agent Systems
via Hypergraph Neural Network.- Bring Ancient Murals Back to Life.-
Multi-Modal Rumor detection via Knowledge-aware Heterogeneous Graph
Convolutional Networks.- DAGKT: Difficulty and Attempts Boosted Graph-based
Knowledge Tracing.- AMRE: An Attention-based CRNN for Manchu Word Recognition
on a Woodblock-Printed Dataset.- High-Accuracy and Energy-Efficient Action
Recognition with Deep Spiking Neural Network.- Sequence Recommendation Based
on Interactive Graph Attention Network.- Imbalanced Equilibrium: Emergence of
Social Asymmetric Coordinated Behavior in Multi-Agent Games.- Model-based
Reinforcement Learning with Self-Attention Mechanism for Autonomous Driving
in Dense Traffic.- CLCDR: Contrastive Learning for Cross-Domain
Recommendation to Cold-Start Users.- Medical Visual Question Answering via
Targeted Choice Contrast and Multimodal Entity Matching.- Boosting Star-GANs
for Voice Conversion with Contrastive Discriminator.- Next POI Recommendation
with Neighbor and Location Popularity.- Trustworthiness and Confidence of
Gait Phase Predictions in Changing Environments Using Interpretable
Classifier Models.- Enhance Gesture Recognition Via Visual-Audio Modal
Embedding.- Learning from Fourier: Leveraging Frequency Transformation for
Emotion Recognition.- Efficient Double Oracle for Extensive-Form Two-Player
Zero-Sum Games.- FastThaiCaps: A Transformer based Capsule Network for Hate
Speech Detection in Thai Language.