Progress in Artificial Intelligence

24th EPIA Conference on Artificial Intelligence, EPIA 2025, Faro, Portugal, October 1-3, 2025, Proceedings, Part II
Herausgegeben:Valente de Oliveira, José; Leite, João; Rodrigues, João; Dias, João; Cardoso, Pedro

• Broschiertes Buch

Produktbeschreibung

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).

Produktdetails

• Lecture Notes in Computer Science 16122
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89550425, 978-3-032-05178-3
• Seitenzahl: 510
• Erscheinungstermin: 16. September 2025
• Englisch
• Abmessung: 235mm x 155mm x 30mm
• Gewicht: 821g
• ISBN-13: 9783032051783
• ISBN-10: 3032051789
• Artikelnr.: 75135435

Inhaltsangabe

.- 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.