.- 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 User’s 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.