Progress in Artificial Intelligence

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3-6, 2024.

The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections:

Volume I:

AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS).

Volume II:

Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI).

Volume III:

Generative AI - Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI - Solutions and Emerging Technologies (DCenAI).

Generative AI Foundations and Applications (GenAI). -
Large Language Model for Querying Databases in Portuguese. - A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation. - Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical Study. - AICIS: A System for Identifying AI Contribution in Textual Content. -
Intelligent Robotics (IROBOT). -
AIMSM - A Mechanism to Optimize Systems with Multiple AI Models: A Case Study in Computer Vision for Autonomous Mobile Robots. - Defect Detection in the Painting of Combustion Device Covers using the Deflectometry Method and YOLOv8. - Information-Oriented and Energy-Aware Path Planning for Small Unmanned Aerial Vehicles. - Pollinationbots - A Swarm Robotic System for Tree Pollination. -
Knowledge Discovery and Business Intelligence (KDBI). -
Extensible Data Ingestion System for Industry 4. 0. - Next Location Prediction with Time-Evolving Markov Models over Data Streams. - Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization. - A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities. - A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models. - Optimising Dialogue Flow Discovery. - BI-Enabled Web Visualization of In-Place Inclinometer Data for Geotechnical Applications. - An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting. -
Natural Language Processing, Text Mining and Applications (TeMA). -
Meta-prompting Optimized Retrieval-augmented Generation. - Pseudo-Semantic Graphs for Generating Paraphrases. - Compositionality and Ambiguity in Multiword Expressions: A Dataset for the Evaluation of Language Models in Galician. - Bypassing the Nuances of Portuguese Covert Hate Speech through Contextual Analysis. - Sequence Labeling for Pun Location and Detection in Portuguese. - Open Sentence Embeddings for Portuguese with the Serafim PT* Encoders Family. - WordNet Expansion with Bilingual Word Embeddings and Neural Machine Translation. - A Galician-Portuguese Generative Model. -Assessing the Trustworthiness of Large Language Models on Domain-specific Questions. -
Data-Centric AI Solutions and Emerging Technologies (DCenAI). -
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study. -Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry. - Meta TadGAN: Time Series Anomaly Detection Using TADGAN with Meta-Features. - Context-aware Deep Forecasting: Principles for the Nation-wide Management of Blood Products.