Web Information Systems Engineering - WISE 2025

.- AI and Machine Learning.
.- Towards Cost-Effective Model Update in Online Feature-Incremental Learning.
.- Ilargi: a GPU Compatible Factorized ML Model Training Framework.
.- Multi-Armed Bandit-Based Client Selection for Efficient Federated Learning.
.- Hybrid Adaptive Resonance Theory Model for Online Noisy Data Classification.
.- Recommender Systems I.
.- Intra-Domain Preference Modeling with Cross-Domain Dependency Alignment for Cross-Domain Sequential Recommendation.
.- CLARE : A Category-Aware RAG-Based Framework for Recommending Learning Objects in Education and Professional Training.
.- Recommending the Right Recommender System Software: A Practical Guide.
.- Causal Insights for Debiasing Recommender Systems: Future Directions and Challenges.
.- Web Applications and Services.
.- Collaborative Multi-Agent Anomaly Detection in Web Services using Machine Learning and Semantic Reasoning.
.- A Web-based Fauna Taxonomic Rank Identification Application.
.- Evidence Retrieval for Chinese Tabular Data in the Web Based on Dense Passage Retriever.
.- A Multi-Layered Approach for Proactive Counterfeit Detection and Autonomous Decision-Making in Pharmaceutical Supply Chains.
.- Security and Privacy.
.- Verifying security requirements of fog services communication with Event-B.
.- Convergence and Variability Assessment and Analysis of QGANs and GANs for Advanced Cybersecurity Applications: An Empirical Study.
.- MOMA-DPK: A Multi-Objective Memetic Algorithm for Privacy-Utility Trade-Offs in Differentially Private K-means Clustering.
.- FP-BSS: Full Privacy Blockchain-Based Self-Tallying Score Voting Protocol.
.- Large Language Models I.
.- FORA: An Efficient One-for-All Cross-Task Reasoning Framework for Financial Domain via LLMs.
.- A Comparative Study of ASRs, LLMs, and Few-Shot Learning for Emotion Recognition in Tunisian Dialect.
.- CMANet:Sarcasm Detection with LLMs and Cross-Modal Adaptive Attention Networks.
.- Small Scale, Strategic Advantage: Enhancing LLMs with Domain Knowledge Graph for StarCraft II.
.- Deep Learning and Networks.
.- Interpretable Tree-Structured Deep Learning Model for Extracting Cognitive Pathways from Social Media.
.- Adaptive Online Index Selection with a Noisy Dueling Deep Q-Network.
.- An Advanced-PER based Deep Reinforcement Learning Method for Adversarial Maritime Mission Planning.
.- Deep Cross Networks for Intelligent Prostate Cancer Risk Prediction.
.- Knowledge Graphs I.
.- Graph Reachability Queries: Empirical Evaluation and Practical Guidelines.
.- Context-Aware Hybrid Neuro-Symbolic Approach for Knowledge Graph Enrichment.
.- stvd-kg: A Knowledge Graph for French Electronical Program Guides.
.- DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation.
.- Security and Networking.
.- PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection.
.- TITID: A Transformer-Based IoT Traffic Intrusion Detection Model for MQTT Networks.
.- Explainable CAN Intrusion Detection via Feature Extraction.
.- Extending Hyperbolic Temporal Graph Neural Network to Anomaly Detection for secure Cyber-spaces.
.- Security and Trust.
.- Building Trust on User Attributes for Identity Assurance Frameworks.
.- GCN-InjectionDetect: Injection attack detection method based on Graph Convolutional Networks.
.- Improving Trust in AI-Driven Diabetes Prediction: Explainability Through SHAP and Counterfactual Analysis.
.- SLF-DF: a Framework for Fraud Detection in Airdrop Business Processes.
.- Sentiment Analysis and Classification.
.- EmoCIE: Emotion-Cause Identification with Intensity Estimation.
.- Knowledge Injection in a Neural Model for Aspect-Based Sentiment Classification.
.- Model Knowledge Injection for Aspect-Based Sentiment Classification.
.- Happiness Maximization Queries with Two-sided Fairness.