E-raamat: Artificial Intelligence Applications and Innovations: 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024, Proceedings, Part II

.- 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 Detection & Tracking.

.- The Impact of Augmentation Techniques on Icon Detection using Machine
Learning Techniques.

.- Toward Unsupervised Energy Consumption Anomaly Detection.

.- Unlocking User Privacy: A Systematic Survey of Factors and Methods in
Predicting App Permission Decisions.