E-raamat: Web Information Systems Engineering - WISE 2024: 25th International Conference, Doha, Qatar, December 2-5, 2024, Proceedings, Part IV

.- Learning and Optimization.



.- PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model
Adaptation without Target Domain Data.



.- Weighted Linear Regression with Optimized Gap for Learned Index.



.- TAKE: Tracing Associative Empathy Keywords for Generating Empathetic
Responses Based on Graph Attention.



.- Intent identification using few-shot and active learning with user
feedback.



.- CLIMB: Imbalanced Data Modelling using Contrastive Learning with Limited
 Labels.



.- Equivariant Diffusion-based Sequential Hypergraph Neural Networks with
Co-Attention Fusion for Information Diffusion Prediction.



.- CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data
Privacy in the Hyperconnected Environment.



.- Selectivity Estimation for Spatial Filters using Optimizer Feedback: A
Machine Learning Perspective.



.- On Adversarial Training with Incorrect Labels.



.- Model Lake: a New Alternative for Machine Learning Models Management and
Governance.



.- A Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot
Cities.



.- Large Language Models and their Applications.



.- Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for
Problem-Solving Improvement of LLMs.



.- Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal
Discovery.



.- Combining Uncensored and Censored LLMs for Ransomware Generation.



.- Therapying Outside the Box: Innovating the Implementation and Evaulation
of CBT in Therapeutic Artificial Agents.



.- iText2KG: Incremental Knowledge Graphs Construction Using Large Language
Models.



.- Is this site legit?": LLMs for Scam Website Detection.



.- Towards Enhancing Linked Data Retrieval in Conversational UIs using Large
Language Models.



.- BioLinkerAI: Capturing Knowledge using LLMs to Enhance Biomedical Entity
Linking.



.- Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food
Recommendation.



.- ShizishanGPT: An Agricultural Large Language Model Integrating Tools and
Resources.



.- AI Applications.



.- Web-based AI Assistant for Medical Imaging: A Case Study on Predicting
Spontaneous Preterm Birth via Ultrasound Images.



.- Satellite-Driven Deep Learning Algorithm for Bathymetry Extraction.



.- Would You Trust an AI Doctor? Building Reliable Medical Predictions with
Kernel Dropout Uncertainty.



.- Empowering Visual Navigation: A Deep-Learning Solution for Enhanced
Accessibility and Safety among the Visually Impaired.



.- A Transformer and LSTM Model for Electricity Consumption Forecasting and
Users Behavior Influence.



.- Enhancing Customer Service Efficiency in the Holy Makkah Municipality
Using Machine Learning.



.- Motivation, Concerns, and Attitudes Towards AI: Differences by Gender,
Age, and Culture.



.- DefectClassifierX: A Cross-Platform Automated Pattern Classification
System for Wafer Defects.



.- Safe-Path: A Perspective on Next-Generation Road Safety Recommendations.



.- Unsupervised and Dynamic Dendrogram-based Visualization of Medical Data.



.- Federated Deep Learning Models for Stroke Prediction.