Rodrigo Ordonez-Hurtado

According to our database, Rodrigo Ordonez-Hurtado authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics.

Tobia Boschi, Andrea Loreti, Nicola C. Amorisco, Rodrigo Ordonez-Hurtado, Cécile Rousseau, George K. Holt, Eszter Székely, Alexander Whittle, Samuel Jackson, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabé-Moreno, Vassil Alexandrov, Mykhaylo Zayats

CoRR, February, 2026

TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models.

Cécile Rousseau, Samuel Jackson, Rodrigo Ordonez-Hurtado, Nicola C. Amorisco, Tobia Boschi, George K. Holt, Andrea Loreti, Eszter Székely, Alexander Whittle, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabé-Moreno, Sue Thorne, Mykhaylo Zayats

CoRR, February, 2026

2025

Enhancing foundation models for scientific discovery via multimodal knowledge graph representations.

Vanessa López, Thanh Lam Hoang, Marcos Martínez Galindo, Raúl Fernández-Díaz, Marco Luca Sbodio, Rodrigo Ordonez-Hurtado, Mykhaylo Zayats, Natasha Mulligan, Joao H. Bettencourt-Silva

J. Web Semant., 2025

KITE+: A Knowledge Integration Platform to Support the Development of Multimodal, Large-Scale Data Analytics Applications with Alignment to Modern Data Protection Laws.

Rodrigo Ordonez-Hurtado, Francesca Bonin, Tobia Boschi, Alessandra Pascale

Proceedings of the IEEE International Conference on Digital Health, 2025

2024

Feature Selection for Functional Data Classification.

Tobia Boschi, Francesca Bonin, Jonathan Epperlein, Rodrigo Ordonez-Hurtado, Alessandra Pascale

CoRR, 2024

Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights.

Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale, John Dinsmore

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces.

Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Jonathan P. Epperlein

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ProInsight: A Tool for Risk Prediction and Impact Evaluation of Digital Health Solution Implementations.

Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Filipa Teixeira, Isil Coklar Okutkan, Jéssica Morais, Sara Polak, An Jacobs, Julie Doyle, John Dinsmore

Proceedings of the IEEE International Conference on Digital Health, 2024

2023

Automated Feature Selection from Medical Literature.

Alberto Purpura, Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Natasha Mulligan, Joao H. Bettencourt-Silva, Alessandra Pascale

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023