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Gabriel G. Castañé
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- affiliation: University College Cork, Ireland
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2020 – today
- 2024
- [c13]Eduardo Vyhmeister, Rocio Paez, Gabriel González-Castañé:
Deep Neural Network for Constraint Acquisition Through Tailored Loss Function. ICCS (5) 2024: 43-57 - [c12]Gabriel G. Castañé, Alejandro Martinez, Qusai Ramadan, Zaneta Gkika, Mpempis Panagiotis, Eduardo Vyhmeister:
Market Analysis of a Data Platform in the European Data Ecosystem. AIAI Workshops 2024: 94-108 - [i1]Eduardo Vyhmeister, Gabriel G. Castañé:
When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0. CoRR abs/2403.03061 (2024) - 2023
- [j7]Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg:
Risk as a driver for AI framework development on manufacturing. AI Ethics 3(1): 155-174 (2023) - [j6]Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg, Simon Thevenin:
A responsible AI framework: pipeline contextualisation. AI Ethics 3(1): 175-197 (2023) - [j5]Gabriel González-Castañé, Alexandre Dolgui, N. Kousi, B. Meyers, Simon Thevenin, Eduardo Vyhmeister, Per-Olov Östberg:
The ASSISTANT project: AI for high level decisions in manufacturing. Int. J. Prod. Res. 61(7): 2288-2306 (2023) - [c11]Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan:
Assessing and Enforcing Fairness in the AI Lifecycle. IJCAI 2023: 6554-6562 - [e2]Roberta Calegari, Andrea Aler Tubella, Gabriel González-Castañé, Virginia Dignum, Michela Milano:
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, October 1st, 2023. CEUR Workshop Proceedings 3523, CEUR-WS.org 2023 [contents] - 2021
- [c10]Rafael Tolosana-Calasanz, Gabriel G. Castañé, José A. Bañares, Omer F. Rana:
Modelling Serverless Function Behaviours. GECON 2021: 109-122 - [d1]Rafael Tolosana-Calasanz, Gabriel G. Castañé, José A. Bañares, Omer F. Rana:
Code for the Paper Modeling Serverless Function Behaviours. Zenodo, 2021 - 2020
- [j4]Gabriel G. Castañé, Alejandro Calderón Mateos:
Machine learning applied to accelerate energy consumption models in computing simulators. Simul. Model. Pract. Theory 102: 102012 (2020)
2010 – 2019
- 2019
- [c9]Gabriel G. Castañé, Helmut Simonis, Kenneth N. Brown, Yiqing Lin, Cemalettin Ozturk, Michele Garraffa, Mark Antunes:
Simulation-Based Optimization Tool for Field Service Planning. WSC 2019: 1684-1695 - 2018
- [j3]Gabriel G. Castañé, Huanhuan Xiong, Dapeng Dong, John P. Morrison:
An ontology for heterogeneous resources management interoperability and HPC in the cloud. Future Gener. Comput. Syst. 88: 373-384 (2018) - 2017
- [c8]Dapeng Dong, Huanhuan Xiong, Gabriel G. Castañé, Paul Stack, John P. Morrison:
Heterogeneous Resource Management and Orchestration in Cloud Environments. CLOSER (Selected Papers) 2017: 61-80 - [c7]Dapeng Dong, Huanhuan Xiong, Gabriel G. Castañé, John P. Morrison:
A Decentralized Cloud Management Architecture Based on Application Autonomous Systems. CLOSER (Selected Papers) 2017: 102-114 - [c6]Huanhuan Xiong, Dapeng Dong, Christos K. Filelis-Papadopoulos, Gabriel G. Castañé, Theo Lynn, Dan C. Marinescu, John P. Morrison:
CloudLightning: a Self-Organized Self-Managed Heterogeneous Cloud. FedCSIS 2017: 749-758 - [c5]Huanhuan Xiong, Christos K. Filelis-Papadopoulos, Dapeng Dong, Gabriel G. Castañé, John P. Morrison:
Towards a Scalable and Adaptable Resource Allocation Framework in Cloud Environments. ICPP Workshops 2017: 137-144 - [c4]Christos K. Filelis-Papadopoulos, Huanhuan Xiong, Adrian F. Spataru, Gabriel G. Castañé, Dapeng Dong, George A. Gravvanis, John P. Morrison:
A Generic Framework Supporting Self-Organisation and Self-Management in Hierarchical Systems. ISPDC 2017: 149-156 - [e1]John P. Morrison, Gabriel González-Castañé:
Proceedings of the 1st International Workshop on Next generation of Cloud Architectures, CloudNG@EuroSys 2017, Belgrade, Serbia, April 23-26, 2017. ACM 2017, ISBN 978-1-4503-4936-9 [contents] - 2016
- [c3]Pablo Llopis Sanmillán, Gabriel G. Castañé, Jesús Carretero:
Cost-benefit Analysis and Exploration of Cost-energy-Performance Trade-offs in Scientific Computing Infrastructures. ICCS 2016: 2256-2260 - 2013
- [j2]Gabriel G. Castañé, Alberto Nuñez, Pablo Llopis, Jesús Carretero:
E-mc2: A formal framework for energy modelling in cloud computing. Simul. Model. Pract. Theory 39: 56-75 (2013) - 2012
- [j1]Alberto Nuñez, José Luis Vázquez-Poletti, Agustín C. Caminero, Gabriel G. Castañé, Jesús Carretero, Ignacio Martín Llorente:
iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator. J. Grid Comput. 10(1): 185-209 (2012) - [c2]Gabriel G. Castañé, Alberto Nuñez, Jesús Carretero:
iCanCloud: A Brief Architecture Overview. ISPA 2012: 853-854 - [c1]Gabriel G. Castañé, Alberto Nuñez, Rosa Filgueira, Jesús Carretero:
Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications. ICCS 2012: 226-235
Coauthor Index
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