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 TextClassification -- 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.