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IFCA Advanced Computing and e-Science
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Advanced Computing and e-Science Group
Publications
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Conferences
Created by
Miguel Angel Nunez
, last modified on
28/Mar/2019
Papers
2024 - Sistema de vision artificial basado en aprendizaje profundo para la detección automática de defectos superficiales en pavimentos.
2024 - Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
2024 - Making Federated Learning Accessible to Scientists: The AI4EOSC Approach
2023 - Comparison of machine learning models applied on anonymized data with different techniques
2021 - On the use of Deep Generative Models for ”Perfect” Prognosis Climate Downscaling
2017 - Large Scale Plant Classification with Deep Neural Networks
2017 - Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers
2016 - Evolution of the open cloud computing interface
2014 - The role of IBERGRID in the Federated Cloud of EGI
2013 - Identity Federation with VOMS in Cloud Infrastructures
2013 - Analysis of Scientific Cloud Computing requirements
2012 - Production change management using Puppet, Git, Jenkins and Gerrit
2012 - IberCloud: federated access to virtualized resources
2011 - Software Provision Process for EGI
2011 - Fostering multi-scientific usage in the Iberian production infrastructure
2011 - Focusing on an integrated computing infrastructure: the IFCA experience
2011 - Experience on running the Ibergrid infrastructure within EGI
2010 - Virtualization and network mirroring to deliver High Availability to Grid services
2010 - Provisioning of Grid Middleware for EGI in the framework of EGI-InSPIRE
2010 - Int.eu.grid
2010 - Ibergrid transition to EGI
Presentations
2024 - Sistema de visión artificial basado en aprendizaje profundo para la detección automática de defectos superficiales en pavimentos.
2024 - MAPSIA: Automated Pavement Distress Detection for Optimal Road Maintenance Planning
2024 - Image-based deep learning system for coronary artery tortuosity diagnosis in coronary angiography
2024 - Federated AI in the European Open Science Cloud
2024 - Correlación de tráfico, mantenimiento y tipo de vía con un índice de condición del pavimento obtenido a partir de un sistema de visión artificial
2022 - FAIRness Evaluation, Validation and Advising with FAIR EVA
2022 - FAIR EVA: Evaluator, Validator & Advisor
2022 - FAIR EVA: Checking data FAIRness in data repositories
2022 - Deep learning to estimate wine volume from one single-view image
2022 - Artificial Intelligence to evaluate the impact of COVID-19 disease on the elderly
2019 - Using Unsupervised Artificial Neural Networks to Detect Sibling Species: A case in Myxomycetes
2018 - Deep learning for weed identification based on seed images
2018 - Convolutional Neural Networks for Phytoplankton identification and classification
2017 - A workbench for species identification based on images and deep learning techniques
Posters
2024 - Deep learning for volumetric assessment of primary lung cancer on computed tomography
2024 - Deep Learning and Explainability for Multimodal Medical Data
2023/07 - Deep learning to detect coronary artery tortuosity in coronary angiography
2023/07 - Application of federated learning to medical imaging scenarios
2023/05 - Reliable machine learning algorithms for medical imaging
2023/05 - Privacy preserving techniques for data science
2022/09 - pyCANON: A Python library to check the level of anonymity of a dataset
2022/09 - Frouros: A Python library for drift detection in Machine Learning problems
2022/06 - SQAaaS - Ensuring Software, Service and Data quality automatically in open repositories
2020/07 - The ethical and legal issues arising from the implantation of AI systems in the radiological practice
2020/07 - Radiologists in the regulation of the responsibilities of artificial intelligence applied to radiodiagnosis: Let's make it real.
2019/04 - Deep Learning techniques for Satellite data: Atmospheric Corrections
2019/04 - Deep Learning as a Service for Satellite Imagery Super-resolution
2018 - Water quality forecasting system
2013/10 - Experience with a frozen computational framework from LEP age
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