Progress in Artificial Intelligence

.- 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 Futures: Rethinking Inclusivity in Urban
Digital Twins.

.- Subgroup Discovery Using Model Uncertainty: A Feasibility Study.