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ORCID20th AIAI 2024: Corfu, Greece
- Ilias Maglogiannis
, Lazaros S. Iliadis, John MacIntyre, Markos Avlonitis, Antonios Papaleonidas:
Artificial Intelligence Applications and Innovations - 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024, Proceedings, Part II. IFIP Advances in Information and Communication Technology 712, Springer 2024, ISBN 978-3-031-63214-3
Reinforcement/Natural Language
- Abdulrahman Alharbi, Ameen Abdel Hai, Rafaa Aljurbua, Zoran Obradovic:
AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT. 3-17 - Charis Stylianakis, Dimitrios Bouras, Konstantinos Alexakis, Spyros Oikonomopoulos, Vassilis Spitadakis, Yorgos Panagiotakis:
An Algorithmic Data Pipeline Architecture for the Production of Personalized Telecom Product Offers. 18-31 - Diep Tran, Quyen Tran, Quy Tran, Vu Nguyen, Minh-Triet Tran:
Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning. 32-46 - William Power, Zoran Obradovic:
Generating Profiles of News Commentators with Language Models. 47-59 - Nikolaos Giarelis, Charalampos Mastrokostas, Nikos I. Karacapilidis:
GreekT5: Sequence-to-Sequence Models for Greek News Summarization. 60-73 - Nicholas Ampazis:
Improving RAG Quality for Large Language Models with Topic-Enhanced Reranking. 74-87 - Aleyna Er, Banu Diri, Meltem Turhan Yöndem:
LLM Prompting Versus Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback. 88-99 - Riccardo Cantini, Cristian Cosentino, Fabrizio Marozzo:
Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models. 100-114 - Anass El Houd, Benoît Piranda, Raphael De Matos, Julien Bourgeois:
Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach. 115-128 - Lauri Vasankari, Kalle Saastamoinen:
Strategizing the Shallows: Leveraging Multi-Agent Reinforcement Learning for Enhanced Tactical Decision-Making in Littoral Naval Warfare. 129-141
Machine Learning
- Benjamin Aziz, Alaa Mohasseb, Jeyong Jung:
A Prediction Analysis for the Case of a Korean Police Dataset. 145-157 - Marina Ivanova, Michael Grims, Daniel Karas, Gerhard Höfinger, Marco Xaver Bornschlegl, Matthias L. Hemmje:
An AI-Based Approach to Identify Financial Risks in Transportation Infrastructure Construction Projects. 158-173 - Thang-Anh-Quan Nguyen, Ehtesham Hashmi, Muhammad Mudassar Yamin, Azeddine Beghdadi, Faouzi Alaya Cheikh, Mohib Ullah:
Benign Paroxysmal Positional Vertigo Disorders Classification Using Eye Tracking Data. 174-185 - Serge Lionel Nikiema, Aminata Sabané, Abdoul Kader Kaboré, Rodrique Kafando, Tegawendé F. Bissyandé:
Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Models. 186-200 - Fotios Skouvas, Harris Papadopoulos, Andreas S. Andreou:
Enhancing Predictive Process Monitoring with Conformal Prediction. 201-214 - Chukwuemeka Jaja-Wachuku, Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktab Dar Oghaz:
Improved NO2 Prediction Using Machine Learning Algorithms. 215-225 - Wei Zhou, Aoyang Liu, Yongqiang Ma:
Improving Agricultural Image Classification by Mining Images. 226-237 - Hatem Haddad, Feres Jerbi, Issam Smaali:
Learning-Based Short-Term Energy Consumption Forecasting. 238-251 - Adam Krechowicz, Maria Krechowicz, Artur Pawelec:
Machine Learning Models for Electricity Generation Forecasting from a PV Farm. 252-264 - Sidi Mohammed Alaoui, Khalifa Djemal, Amir Ali Feiz, Pierre Ngae:
Pollutant Concentration Prediction by Random Forest to Estimate a Contaminant Source Position. 265-278 - Ioannis Pierros, Vasileios Kochliaridis, Eirini Apostolidou, Eleni Delimpasi, Vasileios Zygouris, Ioannis P. Vlahavas:
Predictive Maintenance Under Absence of Sensor Data. 279-292 - Nikolaos Avgoustis, Evangelos Alvanitopoulos, Nikolaos Marios Polymenakos, Ioannis Karydis, Markos Avlonitis:
Simulation Study for Evaluating Efficiency of McPhail Traps in Olive Groves. 293-306 - Muhammad Moosa, Muhammad Mudassar Yamin, Ehtesham Hashmi, Azeddine Beghdadi, Ali Shariq Imran, Faouzi Alaya Cheikh, Mohib Ullah:
SMT: Self-supervised Approach for Multiple Animal Detection and Tracking. 307-317 - Madalina Dicu, Camelia Chira:
The Impact of Augmentation Techniques on Icon Detection Using Machine Learning Techniques. 318-331 - Hatem Haddad, Feres Jerbi, Issam Smaali:
Toward Unsupervised Energy Consumption Anomaly Detection. 332-346 - Rena Lavranou, Aggeliki Tsohou:
Unlocking User Privacy: A Systematic Survey of Factors and Methods in Predicting App Permission Decisions. 347-360
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