Fostering Multi-Scientific Usage in the Iberian Production Infrastructure. - Gonçalo Borges; Mário David; Hugo Gomes; Jorge A. T. Gomes; João Martins 001; João Murta Pina; Ignacio Blanquer; David Arce; Miguel Caballer; Álvaro López García; Pablo Orviz Fernández; Isabel Campos Plasencia; et al. (Comput. Informatics, 2012)

Software Provision Process for EGI. - Mário David; Gonçalo Borges; Jorge A. T. Gomes; João Murta Pina; Isabel Campos Plasencia; Enol Fernández-del-Castillo; Álvaro López García; Pablo Orviz Fernández; Javier López Cacheiro; Carlos Fernández; Álvaro Simón (Comput. Informatics, 2012)

Phenomenology Tools on Cloud Infrastructures using OpenStack - Isabel Campos Plasencia; Enol Fernández-del-Castillo; Sven Heinemeyer; Álvaro López García; F. von der Pahlen (CoRR, 2012)

Identity Federation with VOMS in Cloud Infrastructures. - Álvaro López García; Enol Fernández-del-Castillo; Mattieu Puel (CloudCom (1), 2013)

Analysis of Scientific Cloud Computing requirement. - Álvaro López García; Enol Fernández-del-Castillo (CoRR, 2013)

The EGI Federated Cloud e-Infrastructure. - Enol Fernández-del-Castillo; Diego Scardaci; Álvaro López García (Cloud Forward, 2015)

Evolution of the Open Cloud Computing Interface. - Boris Parák; Zdenek Sustr; Michal Kimle; Pablo Orviz Fernández; Álvaro López García; Stavros Sachtouris; Víctor Méndez Muñoz (CLOSER (2), 2016)

INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing. - Davide Salomoni; Isabel Campos Plasencia; Luciano Gaido; Giacinto Donvito; P. Fuhrman; J. Marco 001; Álvaro López García; Pablo Orviz Fernández; Ignacio Blanquer; Germán Moltó; Marcin Plóciennik; Michal Owsiak; et al. (CoRR, 2016)

Standards for enabling heterogeneous IaaS cloud federations. - Álvaro López García; Enol Fernández-del-Castillo; Pablo Orviz Fernández (Comput. Stand. Interfaces, 2016)

Efficient image deployment in cloud environments. - Álvaro López García; Enol Fernández-del-Castillo (J. Netw. Comput. Appl., 2016)

ooi: OpenStack OCCI interface. - Álvaro López García; Enol Fernández-del-Castillo; Pablo Orviz Fernández (SoftwareX, 2016)

Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers. - Álvaro López García; Lisa Zangrando; Massimo Sgaravatto; Vincent Llorens; Sara Vallero; Valentina Zaccolo; Stefano Bagnasco; Sonia Taneja; Stefano Dal Pra; Davide Salomoni; Giacinto Donvito (CoRR, 2017)

Enabling rootless Linux Containers in multi-user environments: the udocker tool. - Jorge Gomes 001; Isabel Campos Plasencia; Emanuele Bagnaschi; Mário David; Luís Alves; João Martins 001; João Murta Pina; Álvaro López García; Pablo Orviz Fernández (CoRR, 2017)

INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures. - Davide Salomoni; Luciano Gaido; Isabel Campos Plasencia; Jesús E. Marco de Lucas; P. Solagna; Jorge Gomes 001; Ludek Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; Lukasz Dutka; Marcin Plóciennik; et al. (CoRR, 2017)

Enabling rootless Linux Containers in multi-user environments: The udocker tool. - Jorge A. T. Gomes; Emanuele Bagnaschi; Isabel Campos Plasencia; Mário David; Luís Alves; João Martins 001; João Murta Pina; Álvaro López García; Pablo Orviz Fernández (Comput. Phys. Commun., 2018)

Orchestrating Complex Application Architectures in Heterogeneous Clouds. - Miguel Caballer; Sahdev Zala; Álvaro López García; Germán Moltó; Pablo Orviz Fernández; Mathieu Velten (J. Grid Comput., 2018)

umd-verification: Automation of Software Validation for the EGI Federated e-Infrastructure. - Pablo Orviz Fernández; João Murta Pina; Álvaro López García; Isabel Campos Plasencia; Mário David; Jorge Gomes 001 (J. Grid Comput., 2018)

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures. - Davide Salomoni; Isabel Campos Plasencia; Luciano Gaido; Jesús E. Marco de Lucas; P. Solagna; Jorge Gomes 001; Ludek Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; Lukasz Dutka; Marcin Plóciennik; et al. (J. Grid Comput., 2018)

Resource provisioning in Science Clouds: Requirements and challenges. - Álvaro López García; Enol Fernández-del-Castillo; Pablo Orviz Fernández; Isabel Campos Plasencia; Jesús Marco de Lucas (Softw. Pract. Exp., 2018)

Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers. - Adrian Grupp; Valentin Kozlov; Isabel Campos Plasencia; Mário David; Jorge Gomes 001; Álvaro López García (ISC Workshops, 2019)

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey. - Giang Nguyen 001; Stefan Dlugolinský; Martin Bobák 001; Viet D. Tran; Álvaro López García; Ignacio Heredia; Peter Malík; Ladislav Hluchý (Artif. Intell. Rev., 2019)

An efficient cloud scheduler design supporting preemptible instances. - Álvaro López García; Enol Fernández-del-Castillo; Isabel Campos Plasencia (Future Gener. Comput. Syst., 2019)

DEEPaaS API: a REST API for Machine Learning and Deep Learning models. - Álvaro López García (J. Open Source Softw., 2019)

A Cloud-Based Framework for Machine Learning Workloads and Applications. - Álvaro López García; Viet D. Tran; Andy S. Alic; Miguel Caballer; Isabel Campos Plasencia; Alessandro Costantini; Stefan Dlugolinský; Doina Cristina Duma; Giacinto Donvito; Jorge Gomes 001; Ignacio Heredia Cacha; Jesús E. Marco de Lucas; et al. (IEEE Access, 2020)

Deep Learning for Proactive Network Monitoring and Security Protection. - Giang Nguyen 001; Stefan Dlugolinský; Viet D. Tran; Álvaro López García (IEEE Access, 2020)

Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods. - María Castrillo; Álvaro López García (CoRR, 2020)

Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study. - Ignacio Heredia Cacha; Judith Sáinz-Pardo Díaz; María Castrillo Melguizo; Álvaro López García (CoRR, 2022)

Frouros: A Python library for drift detection in Machine Learning problems. - Jaime Céspedes Sisniega; Álvaro López García (CoRR, 2022)

pyCANON: A Python library to check the level of anonymity of a dataset. - Judith Sáinz-Pardo Díaz; Álvaro López García (CoRR, 2022)

Comparison of machine learning models applied on anonymized data with different techniques. - Judith Sáinz-Pardo Díaz; Álvaro López García (CSR, 2023)

Study of the performance and scalability of federated learning for medical imaging with intermittent clients. - Judith Sáinz-Pardo Díaz; Álvaro López García (Neurocomputing, 2023)

A container-based workflow for distributed training of deep learning algorithms in HPC clusters. - Jose González-Abad; Álvaro López García; Valentin Y. Kozlov (Clust. Comput., 2023)

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach. - Judith Sáinz-Pardo Díaz; Andrés Heredia Canales; Ignacio Heredia Cacha; Viet D. Tran; Giang T. Nguyen 001; Khadijeh Alibabaei; Marta Obregón Ruiz; Susana Rebolledo Ruiz; Álvaro López García (IH&MMSec, 2024)

Experimental Demonstration of Optical Encryption Using Quantum Keys: Two Scenarios. - Morteza Ahmadian; Rafael J. Vicente; Juan Pedro Brito; Álvaro López García; Antonio Pastor 001; José Manuel Rivas-Moscoso; Jaume Comellas; Marc Ruiz 001; Vicente Martín; Luis Velasco 001 (OFC, 2024)

An Open Source Python Library for Anonymizing Sensitive Data. - Judith Sáinz-Pardo Díaz; Álvaro López García (CoRR, 2024)

Efficient and scalable covariate drift detection in machine learning systems with serverless computing. - Jaime Céspedes Sisniega; Vicente Rodríguez; Germán Moltó; Álvaro López García (Future Gener. Comput. Syst., 2024)

Frouros: An open-source Python library for drift detection in machine learning systems. - Jaime Céspedes Sisniega; Álvaro López García (SoftwareX, 2024)

Network security AIOps for online stream data monitoring. - Giang T. Nguyen 001; Stefan Dlugolinský; Viet D. Tran; Álvaro López García (Neural Comput. Appl., 2024)

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas. - Judith Sáinz-Pardo Díaz; María Castrillo; Juraj Bartok; Ignacio Heredia Cacha; Irina Malkin Ondík; Ivan Martynovskyi; Khadijeh Alibabaei; Lisana Berberi; Valentin Kozlov; Álvaro López García (Earth Sci. Informatics, 2024)

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches. - Leonhard Duda; Khadijeh Alibabaei; Elena Vollmer; Leon Klug; Valentin Kozlov; Lisana Berberi; Mishal Benz; Rebekka Volk; Juan Pedro Gutiérrez H. Muriedas; Markus Götz; Judith Sáinz-Pardo Díaz; Álvaro López García; et al. (ICCSA (1), 2025)

iMagine: AI-Powered Image Data Analysis in Aquatic Science. - Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Álvaro López García; Dick Schaap; Gergely Sipos (PASC, 2025)

DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments. - Aida Palacio Hoz; Andrés Heredia Canales; Ezequiel Cimadevilla Álvarez; Marta Obregón Ruiz; Álvaro López García (IEEE Access, 2025)

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data. - Judith Sáinz-Pardo Díaz; Álvaro López García (CoRR, 2025)

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools. - Giang Thu Nguyen; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Lisana Berberi; Oleksandr Lytvyn; Valentin Kozlov; Viet D. Tran; Germán Moltó; Álvaro López García (Artif. Intell. Rev., 2025)

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks. - Judith Sáinz-Pardo Díaz; Andreas Athanasiou; Kangsoo Jung; Catuscia Palamidessi; Álvaro López García (CoRR, 2025)

Machine learning operations landscape: platforms and tools. - Lisana Berberi; Valentin Kozlov; Giang Nguyen 001; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Germán Moltó; Viet D. Tran; Álvaro López García (Artif. Intell. Rev., 2025)