Artificial Intelligence Applications and Innovations

.- AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT.
.- An algorithmic data pipeline architecture for the production of personalized telecom product offers.
.- Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning.
.- Generating Profiles of News Commentators with Language Models.
.- GreekT5: Sequence-to-Sequence Models for Greek News Summarization.
.- Improving RAG Quality for Large Language Models with Topic-Enhanced Reranking.
.- LLM Prompting versus  Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback.
.- Multi-Dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models.
.- Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach.
.- Strategizing the Shallows: Leveraging Multi-Agent Reinforcement Learning for Enhanced Tactical Decision-Making in Littoral Naval Warfare.
.- A Prediction Analysis for the Case of a Korean Police Dataset.
.- An AI-based Approach to Identify Financial Risks in Transportation Infrastructure Construction Projects.
.- Benign Paroxysmal Positional Vertigo disorders classification using eye tracking data.
.- Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Models.
.- Enhancing Predictive Process Monitoring with Conformal Prediction.
.- Improved NO2 Prediction using Machine Learning Algorithms.
.- Improving Agricultural Image Classification by Mining Images.
.- Learning-based Short-Term Energy Consumption Forecasting.
.- Machine learning models for electricity generation forecasting from a PV farm.
.- Pollutant concentration prediction by random forest to estimate a contaminant source position.
.- Predictive Maintenance under Absence of Sensor Data.
.- Simulation Study for evaluating efficiency of McPhail traps in olive groves.
.- SMT: Self-supervised approach for Multiple Animal