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 Contextual Contrastive 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.