Eduardo Vyhmeister

According to our database, Eduardo Vyhmeister authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When industry meets Trustworthy AI: a systematic review of AI for Industry 5.0.

Eduardo Vyhmeister, Gabriel G. Castañé

AI Ethics, April, 2026

2025

Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - Internal Processes Perspective.

Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin

CoRR, December, 2025

A Framework for Data Valuation and Monetisation.

Eduardo Vyhmeister, Bastien Pietropaoli, UdoBub, Rob Schneider, Andrea Visentin

CoRR, December, 2025

Data Quality Taxonomy for Data Monetization.

Eduardo Vyhmeister, Bastien Pietropoli, Andrea Visentin

CoRR, October, 2025

Metrics, KPIs, and Taxonomy for Data Valuation and Monetisation - A Systematic Literature Review.

Eduardo Vyhmeister, Bastien Pietropaoli, Alejando Martinez Molina, Montserrat González Ferreiro, Gabriel González-Castañé, Jordi Arjona Aroca, Andrea Visentin

CoRR, August, 2025

TAI-PRM: trustworthy AI - project risk management framework towards Industry 5.0.

Eduardo Vyhmeister, Gabriel G. Castañé

AI Ethics, April, 2025

Data Monetization Through Tailored Demand Representation.

Eduardo Vyhmeister, Lorenzo Reyes-Bozo, Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Gabriel G. Castañé, Andrea Visentin

Proceedings of the IEEE International Conference on Smart Computing, 2025

A Tool for Fairness Assessment and Red-Lining Detection in AI Systems.

Dimitrios Bikoulis, Panagiotis E. Kyziropoulos, Eduardo Vyhmeister, Gabriel G. Castañé, Andrea Visentin

Proceedings of the IEEE International Conference on Smart Computing, 2025

2024

Deep Neural Network for Constraint Acquisition through Tailored Loss Function.

Eduardo Vyhmeister, Rocio Paez, Gabriel Gonzalez

CoRR, 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

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops, 2024

Deep Neural Network for Constraint Acquisition Through Tailored Loss Function.

Eduardo Vyhmeister, Rocio Paez, Gabriel González-Castañé

Proceedings of the Computational Science - ICCS 2024, 2024

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., April, 2023

A responsible AI framework: pipeline contextualisation.

Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg, Simon Thevenin

AI Ethics, February, 2023

Risk as a driver for AI framework development on manufacturing.

Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg

AI Ethics, February, 2023