Valente de Oliveira / Leite / Rodrigues Progress in Artificial Intelligence

24th EPIA Conference on Artificial Intelligence, EPIA 2025, Faro, Portugal, October 1–3, 2025, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-3-032-05179-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 510 Seiten

Reihe: Computer Science (R0)

This two-volume set LNAI 16121-16122 constitutes the proceedings of the 24th EPIA Conference on Progress in Artificial Intelligence, EPIA 2025, held in Faro, Portugal, during October 1–3, 2025.

The 76 full papers included in these proceedings were carefully reviewed and selected from 158 submissions. They were organized in topical sections as follows:

Part I: Artificial Intelligence in Medicine (AIM); AI for Architecture, Engineering and Conservation (AI4AEC); Knowledge Discovery and Business Intelligence (KDBI); Generative AI: Foundations and Applications (GenAI); Artificial Intelligence: Theory, Methods, and Applications (AITMA); Ethics and Responsibility in AI (ERAI).

Part II: Artificial Intelligence for Industry and Societies (AI4IS); Artificial Intelligence and Law (AIL); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence in Transportation Systems (AITS); Natural Language Processing, Text Mining and Applications (NLP-TeMA); Ambient Intelligence and Affective Environments (AmIA); AI and Creativity (AIC); Artificial Intelligence in Power and Energy Systems (AIPES); Fuzzy Data Analysis and Applications (FDA).

Zielgruppe

Research

Autoren/Hrsg.

Valente de Oliveira, José

Leite, João

Rodrigues, João

Dias, João

Cardoso, Pedro

Inhaltsverzeichnis

.- Artificial Intelligence for Industry and Societies (AI4IS).

.- DLensRisk: A Deep Learning Framework for Financial Risk Assessment
in the Oil and Gas Industry.

.- LisHAB - a Housing Policies Agent-Based Simulation Model.

.- Food Waste Detection in Canteen Plates with Visual Large Language
Models.

.- Optimizing 2D Packing Strategies for Autoclave Loading using Deep
Reinforcement Learning.

.- Intelligent models for predicting water quality in the textile processes.

.- Artificial Intelligence and Law (AIL).

.- The Dawn of a XAI Road to Humachinal-Centric Justifications in EU
Consumer Credit Denials.

.- Autonomous Systems are Mere Tools: Legal Fiction or Reality?.

.- Legal Discrimination in Focus: Empirical Assessment of LLMs under
the European Convention on Human Rights.

.- Integrating Artificial Intelligence into goAML by Indonesia’s FIU:
A Transnational Legal Process Approach to Combatting Terrorist
Financing via Cryptocurrency Crowdfunding.

.- Retrieval-Augmented Generation for Addressing Consumer Complaints.

.- Benefit-Harm Assessment of AI in the Justice System.

.- Not Knowing, Yet Living: AI and the Modern Legal Trial of Prometheus
in Medicine.

.- Artificial Intelligence and IoT in Agriculture (AIoTA).

.- CVVEFM layer: an edge detection inspired layer for image segmentation
tasks

.- Artificial Intelligence in Transportation Systems (AITS).

.- A MaxSAT approach for the train timetabling problem with route
choice and other features.

.- Driving Scene Context-Augmented Trajectory Prediction with
Risk-Aware Decision Reasoning using Multimodal LLM

.- RailSafeNet: Visual Scene Understanding for Tram Safety.

.- Deep Reinforcement Learning for the Berth Allocation Problem with
Inventory Control: A DQN-LSTM Approach

.- Interpretable Predictive Maintenance: Combining Anomaly Detection
with Quantitative Root Cause Analysis.

.- Natural Language Processing, Text Mining and Applications (NLP-TeMA).

.- Prompting LLMs for Relation Classification in Portuguese: Is it Worth it?.

.- Cross-Lingual Information Retrieval in Tetun for Ad-Hoc Search.

.- User Behavior in Sports Search: Entity-Centric Query and Click Log
Analysis.

.- Multi-Agent Retrieval-Augmented Generation for Enhancing Answer
Generation and Knowledge Retrieval.

.- A quantitative evaluation of natural language retrieval methods for
OpenAPI specifications.

.- Authorship Verification of the Caesarian Corpus Using Siamese BERT.

.- CrioleSet: A New Corpus for Cape Verdean Creole, Towards Robust
Machine Translation.

.- ExpliCIT-QA: Explainable Code-Based Image Table Question Answering.

.- Ambient Intelligence and Affective Environments (AmIA).

.- Lightweight Tree Ensembles with Optimized Features for Five-Class
Sleep Apnea Stratification.

.- Framework for Adaptive and Creative Learning Based on Generative
Artificial Intelligence in Higher Education

.- Enabling Context-Aware Sarcasm Detection in Ambient Intelligence
through Local LLMs

.- An Explainable Deep Learning Architecture for the Detection of
Gastrointestinal Lesions in Colonoscopy images

.- Challenges of AI in healthcare projects.

.- Thermal Impact on Vegetable Growth: Case Study in Lettuce Production

.- AI and Creativity (AIC).

.- Text Rewriting with Transformers for Humor Generation in Portuguese.

.- Artificial Intelligence in Power and Energy Systems (AIPES).

.- Reinforcement Learning for Real-Time Price Prediction in Energy Systems

.- Optimizing Quay Crane Operations considering Energy Consumption

.-- Dynamic Retraining Framework for Reliable Energy Forecasting in
Smart Buildings.

.- Fuzzy Data Analysis and Applications (FDA).

.- EvoNFuzz: A New Evolutionary Neuro-Fuzzy Network with Genetic
Programming-based Learning.