Time Series
An Adaptive Data-Driven Imputation Model for Incomplete Event Series
From Time Series to Multi-Modality: Classifying Multivariate Time Series via Both 1D and 2D Representations
Exploring the Effectiveness of Positional Embedding on Transformer-based Architectures for Multivariate Time Series Classification
Modeling of Repeated Measures for Time-to-Event Prediction
A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph
STAD: Multivariate Time Series Anomaly Detection Based on Spatio-temporal Relationship
Recommendation I
Refined Node Type Graph Convolutional Network for Recommendation
Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation
Enhancing Knowledge-aware Recommendation with Contrastive Learning
Knowledge-Rich Influence Propagation Recommendation Algorithm Based on Graph Attention Networks
A Novel Variational Autoencoder with Multi-Position Latent Self-Attention and Actor-Critic for Recommendation
Fair Re-ranking Recommendation Based on Debiased Multi-Graph Representations
Information Extraction
FastNER: Speeding Up Inferences for Named Entity Recognition Tasks
CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition
STMC-GCN: A Span Tagging Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution
Joint Modeling of Local and Global Semantics for Contrastive Entity Disambiguation
Fine-grained Review Analysis using BERT with Attention: A Categorical and Rating-based Approach
Emotional Analysis
Discovery of Emotion Implicit Causes in Products based on Commonsense Reasoning
Multi-modal Multi-emotion Emotional Support Conversation
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
Generating Enlightened Suggestions based on Mental State Evolution for Emotional Support Conversation
Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning
EmoKnow: Emotion- and Knowledge-oriented Model for COVID-19 Fake News Detection
Popular Songs: The Sentiment Surrounding the Conversation
Market Sentiment Analysis based on Social Media and Trading Volume for Asset Price Movement Prediction
Data Mining
Efficient mining of high utility co-location patterns based on a query strategy
Point-level Label-free Segmentation Framework for 3D Point Cloud Semantic Mining
CD-BNN: Causal Discovery with Bayesian Neural Network
A Preference-based Indicator Selection Hyper-heuristic for Optimization Problems
An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems
Incremental natural gradient boosting for probabilistic regression
Discovering Skyline Periodic Itemset Patterns in Transaction Sequences
Double-optimized CS-BP Anomaly Prediction for Control Operation Data
Bridging the Interpretability Gap in Coupled Neural Dynamical Models
Multidimensional Adaptative kNN Over Tracking Outliers (Makoto)
Traffic
MANet: An End-to-End Multiple Attention Network for Extracting Roads around EHV Transmission Lines from High-Resolution Remote Sensing Images
Deep Reinforcement Learning for Solving the Trip Planning Query
MDCN: Multi-Scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection
Identifying Critical Congested Roads based on Traffic Flow-Aware Road Network Embedding
A Cross-Region-based Framework for Supporting Car-Sharing
Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
Transformer Based Driving Behavior Safety Prediction For New Energy Vehicles
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting
A Bottom-Up Sampling Strategy for Reconstructing Geospatial Data from Ultra Sparse Inputs
Recommendation II
Feature Representation Enhancing by Context Sensitive Information in CTR Prediction
ProtoMix: Learnable Data Augmentation on Few-shot Features with Vector Quantization in CTR Prediction
When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction
Dual-Ganularity Contrastive Learning for Session-based Recommendation
Efficient Graph Collaborative Filtering with Multi-layer Output-enhanced Contrastive Learning
Influence Maximization with Tag Revisited: Exploiting the Bi-Submodularity of the Tag-Based Influence Function
Multi-Interest Aware Graph Convolution Network for Social Recommendation
Enhancing Multimedia Recommendation through Item-Item Semantic Denoising and Global Preference Awareness
Resident-based Store Recommendation Model for Community Commercial Planning.