output
20122026
most citedFully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks

152 citations

Showing 2024Show all

10 papers · 1 filter

cs.AI2024★ 23 cited

Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach

Urtzi Otamendi, Mikel Maiza, Igor G. Olaizola +3

Managing resources effectively in uncertain demand, variable availability, and complex governance policies is a significant challenge. This paper presents a paradigmatic framework…

cs.CV2024★ 13 cited

Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets

Andoni Cortés, Clemente Rodríguez, Gorka Velez +2

A major challenges of deep learning (DL) is the necessity to collect huge amounts of training data. Often, the lack of a sufficiently large dataset discourages the use of DL in cer…

cs.NI2024★ 2 cited

Data streaming platform for crowd-sourced vehicle dataset generation

Felipe Mogollon, Zaloa Fernandez, Angel Martin +2

Vehicles are sophisticated machines equipped with sensors that provide real-time data for onboard driving assistance systems. Due to the wide variety of traffic, road, and weather…

cs.LG2024

Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees

Pablo A. Osorio-Marulanda, John Esteban Castro Ramirez, Mikel Hernández Jiménez +2

Creation of synthetic data models has represented a significant advancement across diverse scientific fields, but this technology also brings important privacy considerations for u…

cs.CV2024★ 1 cited

Learning Gaze-aware Compositional GAN

Nerea Aranjuelo, Siyu Huang, Ignacio Arganda-Carreras +4

Gaze-annotated facial data is crucial for training deep neural networks (DNNs) for gaze estimation. However, obtaining these data is labor-intensive and requires specialized equipm…

cs.CV2024★ 1 cited

Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios

Paola Natalia Cañas, Mikel García, Nerea Aranjuelo +3

This paper describes the methodology for building a dynamic risk assessment for ADAS (Advanced Driving Assistance Systems) algorithms in parking scenarios, fusing exterior and inte…