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)

Deep Neural Network for Constraint Acquisition through Tailored Loss Function. - Eduardo Vyhmeister; Rocio Paez; Gabriel Gonzalez (CoRR, 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)