Del 16121 i serien Lecture Notes in Computer Science

Progress in Artificial Intelligence

24th EPIA Conference on Artificial Intelligence, EPIA 2025, Faro, Portugal, October 1–3, 2025, Proceedings, Part I

Häftad, Engelska, 2025

AvJosé Valente de Oliveira,João Leite,João Rodrigues,João Dias,Pedro Cardoso

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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).

Produktinformation

Utgivningsdatum2025-09-16
Mått155 x 235 x 34 mm
Vikt828 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor522
FörlagSpringer Nature Switzerland AG
ISBN9783032051752

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

.- Artificial Intelligence in Medicine (AIM)..- AI-Driven Mobile Solution for Early Detection and Management ofDiabetic Foot Ulcers..- Deep neural networks to the detection of lumbar hernias: methodologyand preliminary results ..- Knowledge-aware Clinical Narrative Extraction using Ontologies andKnowledge 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 usingDiscriminative Models..- Smartphone Keyboard Typing for Rheumatic Disease Identification: AMachine Learning Approach..- Dual Watermarking with Deep Learning for Enhancing Security ofMedical Images..- AI for Architecture, Engineering and Conservation (AI4AEC)..- AI-driven adaptive photogrammetry for Built Heritage informationmodelling..- From synthetic data to deep learning enhancements in muontomography for cultural heritage..- Crack Detection in Pavement Imagery: Evaluating U-Net Variants..- Coral and Fish Segmentation Enhanced by Image Restoration andAssisted Labeling via a Foundation Model..- Multimodal Pipeline for Underwater Artifact Detection and 3DReconstruction with VLM and Gaussian Splatting..- From Facades to 3D Models: Automating Building Reconstruction withDeep Learning and Texture Analysis..- Challenging Fortification Attribution Through AI-Assisted GeometricAnalysis..- 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 tabularanomaly 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 viaInterpretable Tree Models..- Generative AI: Foundations and Applications (GenAI)..- SynDocDis: A Metadata-Driven Framework for Generating SyntheticPhysician Discussions Using Large Language Models..- Large Language Model Framework for Log Sequence Anomaly Detection..- LLM–Based Framework for Synthetic Data Generation in PortugueseClinical NER..- RAG-EVO: Increasing the Reliability and Autonomy of LLMs viaIterative 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 Fingerprintsfor Drug Discovery..- Enhancing privacy: using blurred images with MobileNet SSD..- From Homeostatic Principles to Discrete Emotions in an AgentArchitecture - the HOmeostatic Regulation Architecture (HORA)..- Multi-Objective Reinforcement Learning Algorithm for IrregularSpatial Clusters Detection..- Exploring the Early Universe with Deep Learning..- Improved Complex-Valued Kolmogorov–Arnold Networks withTheoretical Support..- From Execution to Representation: Capturing Metaheuristic Behaviourvia Graph-Derived Meta-Features..- A New Proposal of Layer Insertion in Stacked Autoencoder NeuralNetworks..- Ethics and Responsibility in AI (ERAI)..- Evaluating Coreset Selection with Coverage and Density: A DataQuality Perspective..- Invisible Citizens, Visible Futures: Rethinking Inclusivity in UrbanDigital Twins..- Subgroup Discovery Using Model Uncertainty: A Feasibility Study.

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Del 16121 i serien Lecture Notes in Computer Science

Progress in Artificial Intelligence

24th EPIA Conference on Artificial Intelligence, EPIA 2025, Faro, Portugal, October 1–3, 2025, Proceedings, Part I

Häftad, Engelska, 2025

AvJosé Valente de Oliveira,João Leite,João Rodrigues,João Dias,Pedro Cardoso

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Produktinformation

Utgivningsdatum2025-09-16
Mått155 x 235 x 34 mm
Vikt828 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor522
FörlagSpringer Nature Switzerland AG
ISBN9783032051752

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

.- Artificial Intelligence in Medicine (AIM)..- AI-Driven Mobile Solution for Early Detection and Management ofDiabetic Foot Ulcers..- Deep neural networks to the detection of lumbar hernias: methodologyand preliminary results ..- Knowledge-aware Clinical Narrative Extraction using Ontologies andKnowledge 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 usingDiscriminative Models..- Smartphone Keyboard Typing for Rheumatic Disease Identification: AMachine Learning Approach..- Dual Watermarking with Deep Learning for Enhancing Security ofMedical Images..- AI for Architecture, Engineering and Conservation (AI4AEC)..- AI-driven adaptive photogrammetry for Built Heritage informationmodelling..- From synthetic data to deep learning enhancements in muontomography for cultural heritage..- Crack Detection in Pavement Imagery: Evaluating U-Net Variants..- Coral and Fish Segmentation Enhanced by Image Restoration andAssisted Labeling via a Foundation Model..- Multimodal Pipeline for Underwater Artifact Detection and 3DReconstruction with VLM and Gaussian Splatting..- From Facades to 3D Models: Automating Building Reconstruction withDeep Learning and Texture Analysis..- Challenging Fortification Attribution Through AI-Assisted GeometricAnalysis..- 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 tabularanomaly 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 viaInterpretable Tree Models..- Generative AI: Foundations and Applications (GenAI)..- SynDocDis: A Metadata-Driven Framework for Generating SyntheticPhysician Discussions Using Large Language Models..- Large Language Model Framework for Log Sequence Anomaly Detection..- LLM–Based Framework for Synthetic Data Generation in PortugueseClinical NER..- RAG-EVO: Increasing the Reliability and Autonomy of LLMs viaIterative 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 Fingerprintsfor Drug Discovery..- Enhancing privacy: using blurred images with MobileNet SSD..- From Homeostatic Principles to Discrete Emotions in an AgentArchitecture - the HOmeostatic Regulation Architecture (HORA)..- Multi-Objective Reinforcement Learning Algorithm for IrregularSpatial Clusters Detection..- Exploring the Early Universe with Deep Learning..- Improved Complex-Valued Kolmogorov–Arnold Networks withTheoretical Support..- From Execution to Representation: Capturing Metaheuristic Behaviourvia Graph-Derived Meta-Features..- A New Proposal of Layer Insertion in Stacked Autoencoder NeuralNetworks..- Ethics and Responsibility in AI (ERAI)..- Evaluating Coreset Selection with Coverage and Density: A DataQuality Perspective..- Invisible Citizens, Visible Futures: Rethinking Inclusivity in UrbanDigital Twins..- Subgroup Discovery Using Model Uncertainty: A Feasibility Study.