E-raamat: Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part III

Theory and Algorithms.- Efficient Lightweight Network with
Transformer-based Distillation for Micro-crack Detection of Solar Cells.-
{MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence
Embedding.- Correlated Online k-Nearest Neighbors Regressor Chain for Online
Multi-Output Regression.- Evolutionary Computation for Berth Allocation
Problems: A Survey.- Cognitive Neurosciences.- Privacy-Preserving Travel Time
Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning
Approach.- A Fine-Grained Domain Adaptation Method for Cross-Session
Vigilance Estimation in SSVEP-Based BCI.- RMPE:Reducing Residual Membrane
Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking
Neural Networks.- An improved target searching and imaging method for CSAR.-
Block-Matching Multi-Pedestrian Tracking.- RPF3D: Range-Pillar Feature Deep
Fusion 3D Detector for Autonomous Driving.- Traffic Signal Control
Optimization Based on Deep Reinforcement Learning WithAttention Mechanisms.-
CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks.- A
Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using
MRI and Incomplete Labels.- Two-Stream Spectral-Temporal Denoising Network
for End-to-end Robust EEG-based Emotion Recognition.- Brain-inspired Binaural
Sound Source Localization Method Based On Liquid State Machine.- A
Causality-Based Interpretable Cognitive Diagnosis Model.- RoBrain: Towards
Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning.-
High-dimensional multi-objective PSO based on radial projection.- Link
Prediction Based on the Sub-graphs Learning with Fused Features.-
Naturalistic Emotion Recognition Using EEG and Eye Movements.- Task
Scheduling With Improved Particle Swarm Optimization In Cloud Data Center.-
Traffic Signal Optimization at T-shaped intersections Based on Deep Q
Networks.- A Multi-task Framework for Solving Multimodal Multiobjective
Optimization Problems.- DomainGeneralized Object Detection with Triple Graph
Reasoning Network.- RPUC: Semi-supervised 3D Biomedical Image Segmentation
through Rectified Pyramid Unsupervised Consistency.- Cancellable iris
recognition scheme based on inversion fusion and local ranking.- EWMIGCN:
Emotional Weighting based Multimodal Interaction Graph Convolutional Networks
for Personalized Prediction.- Neighborhood Learning for Artificial Bee Colony
Algorithm: A Mini-survey.- Human Centred Computing.- Channel Attention
Separable Convolution Network for Skin Lesion Segmentation.- A DNN-based
Learning Framework for Continuous Movements Segmentation.- Neural-Symbolic
Recommendation with Graph-Enhanced Information.- Contrastive Hierarchical
Gating Networks for Rating Prediction.- Interactive Selection Recommendation
Based on the Multi-Head Attention Graph Neural Network.- CM-TCN:
Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion
Recognition.- FLDNet: A Foreground-Aware Network for Polyp Segmentation
Leveraging Long-Distance Dependencies.- Domain-Invariant Task Optimization
for Cross-domain Recommendation.- Ensemble of randomized neural network and
boosted trees for eye tracking-based driver situation awareness recognition
and interpretation.- Temporal Modeling Approach for Video Action Recognition
Based on Vision-Language Models.- A Deep Learning Framework with Pruning RoI
Proposal for Dental Caries Detection in Panoramic X-ray Images.- User stance
aware network for rumor detection using semantic relation inference and
temporal graph convolution.- IEEG-CT: A CNN and Transformer Based Method for
Intracranial EEG Signal Classification.- Multi-Task Learning Network for
Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network
Channel Feature Fusion.- Fast and Efficient Brain Extraction with Recursive
MLP based 3D UNet.- A Hip-Knee Joint Coordination Evaluation System in
Hemiplegic Individuals Based on Cyclogram Analysis.- Evaluation of football
players' performance based on Multi-Criteria Decision Analysis approach and
sensitivity analysis.