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Full Description
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).
Contents
.- 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.