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2020 – today
- 2024
[c2]Eduardo Vyhmeister
, Rocio Paez, Gabriel González-Castañé:
Deep Neural Network for Constraint Acquisition Through Tailored Loss Function. ICCS (5) 2024: 43-57- [c1]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 - [i2]Eduardo Vyhmeister, Rocio Paez, Gabriel Gonzalez:
Deep Neural Network for Constraint Acquisition through Tailored Loss Function. CoRR abs/2403.02042 (2024) - [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
- [j3]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) - [j2]Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg, Simon Thevenin:
A responsible AI framework: pipeline contextualisation. AI Ethics 3(1): 175-197 (2023) - [j1]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)
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