E-grāmata: PRICAI 2022: Trends in Artificial Intelligence: 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I

AI Foundations/Decision Theory.- Fair Allocation with Special
Externalities.- Robust Weighted Partial Maximum Satisfiability Problem :
Challenge to Sigma2P-Complete Problem.-  Epistemic Logic via Distance and
Similarity.-  Abstract Argumentation Goes Quantum: An Encoding to QUBO
Problems.- Diversification of Parallel Search of Portfolio SAT solver by
Search Similarity Index.- Dagster: Parallel Structured Search with Case
Studies.-  Faster Optimistic Online Mirror Descent for Extensive-form
Games.- Generalized 3-Valued Belief States in Conformant
Planning.- Clustering-Based Network Inference with Submodular
Maximization.- Applications of AI.- A LiDAR based Control Solution to Achieve
High Precision in Autonomous Parking.-  Multi-View Heterogeneous Temporal
Graph Neural Network for Click Farming Detection.- Deep forest with sparse
topological feature extraction and hash mapping for brain network
classification.- COVID-19 Forecasting Based on Local Mean Decomposition and
Temporal Convolutional Network.- VMEKNet: Visual Memory and External
Knowledge Based Network for Medical Report Generation.- Detecting Video
Anomalous Events with an Enhanced Abnormality Score.- Frequency Domain Based
Learning with Transformer for Underwater Image Restoration.- MMISeg: A
Semi-Supervised Segmentation Method Based on Mixup and Mutual Information for
Cardiac MRI Segmentation.-  Dual-Stream Feature Fusion Network for Detection
and ReID in Multi-Object Tracking.- A Novel Approach for Pill-Prescription
Matching with GNN Assistance and Contrastive Learning.- A Robust Lightweight
Deepfake Detection Network using Transformers.- A General Personality
Analysis Model Based on Social Posts and Links.- Deception Detection Towards
Multi-turn Question Answering with Context Selector Network.- A Unet with
Sequence Information for Gastrointestinal Tract Segmentation.- Co-contrastive
self-supervised learning for drug-disease association
prediction.- Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with
Self-Attention based Full Semantic Information Mining.- Data Mining and
Knowledge Discovery.- APGKT: Exploiting Associative Path on Skills Graph for
Knowledge Tracing.- Features Fusion Framework for Multimodal Irregular
Time-series Events.- A Multi-output Integration Residual Network for
Predicting Time Series Data with Diverse Scales.- Time-series Prediction
Improvement by Adaptive Decomposition.- Attention-based Memory-Enhanced
Knowledge Tracing.- Dual-VIE: Dual-Level Graph Attention Network for Visual
Information Extraction.- Temporal Edge-Aware Hypergraph Convolutional Network
for Dynamic Graph Embedding.- Performance Improvement Validation of Decision
Tree Algorithms with Non-normalized Information Distance in Experiments.- The
Time-sequence Prediction via Temporal and ContextualContrastive
Representation Learning.- Managing dataset shift by adversarial validation
for credit scoring.- Linking Check-in Data to Users on Location-aware Social
Networks.- Robust Subspace Clustering Based on Latent Low-rank Representation
with Weighted Schatten-p Norm Minimization.- Evolutionary
Computation/Optimisation.- Speeding up Genetic Programming Based Symbolic
Regression Using GPUs.- High-Dimensional Discrete Bayesian Optimization with
Intrinsic Dimension.- Multi-Objective Evolutionary Instance Selection for
Multi-Label Classification.- An Investigation of Adaptive Operator Selection
in Solving Complex Vehicle Routing Problem.- Evolutionary Automated Feature
Engineering.