iCanCloud: A Brief Architecture Overview. - Gabriel G. Castañé; Alberto Nuñez; Jesús Carretero 001 (ISPA, 2012)

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator. - Alberto Nuñez; José Luis Vázquez-Poletti; Agustín C. Caminero; Gabriel G. Castañé; Jesús Carretero 001; Ignacio Martín Llorente (J. Grid Comput., 2012)

Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications. - Gabriel G. Castañé; Alberto Nuñez; Rosa Filgueira; Jesús Carretero 001 (ICCS, 2012)

E-mc2: A formal framework for energy modelling in cloud computing. - Gabriel G. Castañé; Alberto Nuñez; Pablo Llopis; Jesús Carretero 001 (Simul. Model. Pract. Theory, 2013)

Cost-benefit Analysis and Exploration of Cost-energy-Performance Trade-offs in Scientific Computing Infrastructures. - Pablo Llopis Sanmillán; Gabriel G. Castañé; Jesús Carretero 001 (ICCS, 2016)

A Decentralized Cloud Management Architecture Based on Application Autonomous Systems. - Dapeng Dong; Huanhuan Xiong; Gabriel G. Castañé; John P. Morrison (CLOSER (Selected Papers), 2017)

Heterogeneous Resource Management and Orchestration in Cloud Environments. - Dapeng Dong; Huanhuan Xiong; Gabriel G. Castañé; Paul Stack; John P. Morrison (CLOSER (Selected Papers), 2017)

CloudLightning: a Self-Organized Self-Managed Heterogeneous Cloud. - Huanhuan Xiong; Dapeng Dong; Christos K. Filelis-Papadopoulos; Gabriel G. Castañé; Theo Lynn; Dan C. Marinescu; John P. Morrison (FedCSIS, 2017)

Towards a Scalable and Adaptable Resource Allocation Framework in Cloud Environments. - Huanhuan Xiong; Christos K. Filelis-Papadopoulos; Dapeng Dong; Gabriel G. Castañé; John P. Morrison (ICPP Workshops, 2017)

A Generic Framework Supporting Self-Organisation and Self-Management in Hierarchical Systems. - Christos K. Filelis-Papadopoulos; Huanhuan Xiong; Adrian F. Spataru; Gabriel G. Castañé; Dapeng Dong; George A. Gravvanis; John P. Morrison (ISPDC, 2017)

An ontology for heterogeneous resources management interoperability and HPC in the cloud. - Gabriel G. Castañé; Huanhuan Xiong; Dapeng Dong; John P. Morrison (Future Gener. Comput. Syst., 2018)

Simulation-Based Optimization Tool for Field Service Planning. - Gabriel G. Castañé; Helmut Simonis; Kenneth N. Brown; Yiqing Lin; Cemalettin Ozturk; Michele Garraffa; Mark Antunes (WSC, 2019)

Machine learning applied to accelerate energy consumption models in computing simulators. - Gabriel G. Castañé; Alejandro Calderón Mateos (Simul. Model. Pract. Theory, 2020)

Modelling Serverless Function Behaviours. - Rafael Tolosana-Calasanz; Gabriel G. Castañé; José A. Bañares; Omer F. Rana (GECON, 2021)

Code for the Paper Modeling Serverless Function Behaviours. - Rafael Tolosana-Calasanz; Gabriel G. Castañé; José A. Bañares; Omer F. Rana (Zenodo, 2021)

Assessing and Enforcing Fairness in the AI Lifecycle. - Roberta Calegari; Gabriel G. Castañé; Michela Milano; Barry O'Sullivan (IJCAI, 2023)

Risk as a driver for AI framework development on manufacturing. - Eduardo Vyhmeister; Gabriel González-Castañé; Per-Olov Östberg (AI Ethics, 2023)

A responsible AI framework: pipeline contextualisation. - Eduardo Vyhmeister; Gabriel González-Castañé; Per-Olov Östberg; Simon Thevenin (AI Ethics, 2023)

The ASSISTANT project: AI for high level decisions in manufacturing. - Gabriel González-Castañé; Alexandre Dolgui; N. Kousi; B. Meyers; Simon Thevenin; Eduardo Vyhmeister; Per-Olov Östberg (Int. J. Prod. Res., 2023)

Deep Neural Network for Constraint Acquisition Through Tailored Loss Function. - Eduardo Vyhmeister; Rocio Paez; Gabriel González-Castañé (ICCS (5), 2024)

Market Analysis of a Data Platform in the European Data Ecosystem. - Gabriel G. Castañé; Alejandro Martinez; Qusai Ramadan; Zaneta Gkika; Panagiotis Mpempis; Eduardo Vyhmeister (AIAI (Workshops), 2024)

When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0. - Eduardo Vyhmeister; Gabriel G. Castañé (CoRR, 2024)

A Tool for Fairness Assessment and Red-Lining Detection in AI Systems. - Dimitrios Bikoulis; Panagiotis E. Kyziropoulos; Eduardo Vyhmeister; Gabriel G. Castañé; Andrea Visentin (SMARTCOMP, 2025)

Data Monetization Through Tailored Demand Representation. - Eduardo Vyhmeister; Lorenzo Reyes-Bozo; Dimitrios Bikoulis; Panagiotis E. Kyziropoulos; Gabriel G. Castañé; Andrea Visentin (SMARTCOMP, 2025)

TAI-PRM: trustworthy AI - project risk management framework towards Industry 5.0. - Eduardo Vyhmeister; Gabriel G. Castañé (AI Ethics, 2025)