Progress in Artificial Intelligence
Springer International Publishing (Verlag)
978-3-032-05175-2 (ISBN)
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).
.- Artificial Intelligence in Medicine (AIM).
.- AI-Driven Mobile Solution for Early Detection and Management of
Diabetic Foot Ulcers.
.- Deep neural networks to the detection of lumbar hernias: methodology
and preliminary results .
.- Knowledge-aware Clinical Narrative Extraction using Ontologies and
Knowledge Graphs.
.- Deep Learning-Based Microbial Colony Detection on Agar Plates.
.- Towards Intelligent Low-Code Systems: A systematic review.
.- Unveiling microRNA biomarkers for Breast Cancer Sub-typing using
Discriminative Models.
.- Smartphone Keyboard Typing for Rheumatic Disease Identification: A
Machine Learning Approach.
.- Dual Watermarking with Deep Learning for Enhancing Security of
Medical Images.
.- AI for Architecture, Engineering and Conservation (AI4AEC).
.- AI-driven adaptive photogrammetry for Built Heritage information
modelling.
.- From synthetic data to deep learning enhancements in muon
tomography for cultural heritage.
.- Crack Detection in Pavement Imagery: Evaluating U-Net Variants.
.- Coral and Fish Segmentation Enhanced by Image Restoration and
Assisted Labeling via a Foundation Model.
.- Multimodal Pipeline for Underwater Artifact Detection and 3D
Reconstruction with VLM and Gaussian Splatting.
.- From Facades to 3D Models: Automating Building Reconstruction with
Deep Learning and Texture Analysis.
.- Challenging Fortification Attribution Through AI-Assisted Geometric
Analysis.
.- Experimental LINCS Dam for Low-Cost Monitoring & Synthetic Data.
.- Knowledge Discovery and Business Intelligence (KDBI).
.- Online Data Augmentation for Forecasting with Deep Learning.
.- Time Series Modeling for Smart Energy Consumption in Industry 4.0.
.- Towards Smarter Property Recommendations in Complex Housing Market.
.- Feature-tokeniser transformer autoencoders for interpretable tabular
anomaly detection.
.- Benchmarking Time Series Feature Extraction for Algorithm Selection.
.- Managing Missing Data and Predictions in Short Time Series.
.- Learning Coastal Upwelling Patterns from Wind Velocity via
Interpretable Tree Models.
.- Generative AI: Foundations and Applications (GenAI).
.- SynDocDis: A Metadata-Driven Framework for Generating Synthetic
Physician Discussions Using Large Language Models.
.- Large Language Model Framework for Log Sequence Anomaly Detection.
.- LLM Based Framework for Synthetic Data Generation in Portuguese
Clinical NER.
.- RAG-EVO: Increasing the Reliability and Autonomy of LLMs via
Iterative Recovery.
.- Generating Synthetic Medical Dialogues in European Portuguese:
Preliminary Results with GPT models.
.- Artificial Intelligence: Theory, Methods, and Applications (AITMA).
.- Convolutional Spiking Neural Networks with Molecular Fingerprints
for Drug Discovery.
.- Enhancing privacy: using blurred images with MobileNet SSD.
.- From Homeostatic Principles to Discrete Emotions in an Agent
Architecture - the HOmeostatic Regulation Architecture (HORA).
.- Multi-Objective Reinforcement Learning Algorithm for Irregular
Spatial Clusters Detection.
.- Exploring the Early Universe with Deep Learning.
.- Improved Complex-Valued Kolmogorov Arnold Networks with
Theoretical Support.
.- From Execution to Representation: Capturing Metaheuristic Behaviour
via Graph-Derived Meta-Features.
.- A New Proposal of Layer Insertion in Stacked Autoencoder Neural
Networks.
.- Ethics and Responsibility in AI (ERAI).
.- Evaluating Coreset Selection with Coverage and Density: A Data
Quality Perspective.
.- Invisible Citizens, Visible
| Erscheinungsdatum | 16.09.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XXXVIII, 522 p. 159 illus., 131 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Artificial Intelligence • computer vision • Distributed Artificial Intelligence • information extraction • Intelligent Agents • Learning Paradigms • machine learning • machine learning algorithms • machine learning approaches • Machine Translation • Mobile Agents • Natural Language Generation • Natural Language Processing • Neural networks • Object detection • Object identification • Probabilistic Reasoning • Reinforcement Learning • vagueness and fuzzy logic • Video segmentation |
| ISBN-10 | 3-032-05175-4 / 3032051754 |
| ISBN-13 | 978-3-032-05175-2 / 9783032051752 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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