Rule-Based Systems
RD-Classifier: Reduced Dimensionality Classifier for Alzheimer‘s Diagnosis Sup-port System
User Interactions-aware Knowledge Graphs for Recommender Systems
How Does the System Perceive Me?
- A Transparent and Tunable Recommender System
MERIHARI-Area Tour Planning by Considering Regional Characteristics. -Financial Argument Quality Assessment in Earnings Conference Calls
Explaining Decisions of Black-box Models using BARBE
Efficient Video Captioning with Frame Similarity-based Filtering
Trace-based Anomaly Detection with Contextual Sequential Invocations
Fusing Fine-grained Information of Sequential News for Personalized News Recommendation
A Finite- Domain Constraint-based Approach on the Stockyard Planning Problem
Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities
Natural Language Processing
Hierarchy-aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification
Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis
Knowledge Injection for Aspect-Based Sentiment Classification
Towards Ensemble-based Imbalanced Text Classification using Metric Learning
Target and Precursor named entities recognition from scientific texts of high-temperature steel using deep neural network
Enabling PII Discovery in Textual Data via Outlier Detection. -Deep Learning
An Efficient Embedding Framework for Uncertain Attribute Graph
Double-layer Attention for Long Sequence Time-Series Forecasting
Multi-core Adaptive Merging of the Secondary Index for LSM-based Stores
CAGAIN: Column Attention Generative Adversarial Imputation Networks
CF-SAFF: Collaborative Filtering based on Self-Attention Mechanism and Feature Fusion
Except-Condition Generative Adversarial Network for Generating Trajectory Data. - Next POIs Prediction for Group Recommendations: Influence-based Deep Learning Model. - Interpreting Deep Text Quantification Models
NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation
Dual Congestion-aware Route Planning for Tourists by Multi-agent Reinforcement Learning
Subspace Clustering Technique Using Multi-Objective Functions for Multi-class Categorical Data
Neural Networks
Multi-task Graph Neural Network for Optimizing the Structure Fairness
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making
A Label Embedding Method via Conditional Covariance Maximization for Mul-ti-label Classification
Integrally Private Model Selection for Deep Neural Networks
Gaussian Process Component Mining with the Apriori Algorithm
Learnable Filter Components For Social Recommendation
Efficient Machine Learning-Based Prediction of CYP450 Inhibition
A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems
Fine-tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews
Deep Multi-Interaction Hidden Interest Evolution Network for Click-through Rate Prediction
Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis
Celestial Machine Learning from Data to Mars and Beyond with AI Feynman.