M.A. (Matias) Valdenegro Toro, Dr

Assistant Professor of Machine Learning

Faculty of Science and Engineering

Telephone:

+31 50 36 36533

E-mail:

m.a.valdenegro.toro rug.nl

ORCID Research Portal

Research interests

My research interests are in building trustworthy machine learning models with real-world data for several applications, including medical AI and Robotics. These relate to Uncertainty Estimation, Computer Vision, and Explainable AI.

Publications

A multi-toxicity deep learning approach for normal tissue complication probability modelling in head and neck cancer patients receiving radiotherapy

MacRae, D. C., van der Hoek, L., de Vette, S. P. M., Neh, H., Moreno, A. C., Fuller, C. D., Langendijk, J. A., Valdenegro-Toro, M. A., Sijtsema, N. M., van Ooijen, P. M. A. & van Dijk, L. V., Jun-2026, In: Radiotherapy and Oncology. 219, 9 p., 111486.

Research output: Contribution to journal › Article › Academic › peer-review

An evaluation of uncertainty quantification methods and measures for deep learning outcome prediction models in head and neck cancer radiotherapy

MacRae, D. C., van der Hoek, L., van Aalst, J. E., de Vette, S. P. M., van der Wal, R., Neh, H., Ma, B., Sijtsema, N. M., Valdenegro-Toro, M. A., van Ooijen, P. M. A. & van Dijk, L. V., May-2026, In: Physics and imaging in radiation oncology. 39, 9 p., 100978.

Research output: Contribution to journal › Article › Academic › peer-review

Clustered Spatio-Temporal Traffic Prediction with K-Means and GCN-LSTM Neural Networks: A Case Study in Santiago, Chile

Jara, B., Nicolis, O., Bronfman, A., Astudillo, H., Valdenegro-Toro, M. & Peralta, B., 2026, In: Transportation Research Procedia. 97, p. 788-795 8 p.

Research output: Contribution to journal › Article › Academic › peer-review

Confusion Detection from Facial Expressions in Elderly-Robot Interactions: Why Is It Difficult?

Vogt, P., Bikowski, Y. & Valdenegro-Toro, M., 16-Mar-2026, HRI Companion '26: Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction. Baillie, L., Smart, W. D., De Graaf, M., Gombolay, M. & Torre, I. (eds.). ACM Press Digital Library, p. 1109-1113 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Disentangling Model and Human Data Uncertainty in Apparent Facial Age Estimation

Foitos, A., de Jong, I. P. & Valdenegro-Toro, M., 17-Jul-2026, (Submitted) arXiv, 13 p.

Research output: Working paper › Preprint › Academic

PREFER-IT: A transdisciplinary co-created framework to realise inclusive health AI

Ferreira, P. P., Longarón, S. S., Bouisaghouane, W., Goris, J., Hoekman, A. H., Markos, B., Maus, B., Pozzi, G., Hasan, H., Kalinauskaité, I., Stunt, J., Kist, J. D., van der Elst, J., Maguet, K., Ziegfeld, L., Cuypers, M., Milota, M., Habets, M., Colombo, S. & Petrič, Š., Groefsema, S., Warmelink, S., Daae, E., Briganti, G., Vajda, I., Valdenegro-Toro, M., Braun, M., Jeekel, P., Goosen, S., Schepel, A., Ester, L., Kuzee, R., de Klerk, S., Lamoth, C., Ballard, L. & Plantinga, M., 23-Sept-2026, In: PLOS Digital Health. 5, 9, 23 p., e0001096.

Research output: Contribution to journal › Article › Academic › peer-review

The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs

Mulder, M., Valdenegro-Toro, M., Sburlea, A. I. & de Jong, I. P., 4-Mar-2026, (Submitted) arXiv, 19 p.

Research output: Working paper › Preprint › Academic

Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review

de Jong, I. P., Sburlea, A. I. & Valdenegro-Toro, M., 1-Aug-2026, (E-pub ahead of print) In: Journal of Healthcare Informatics Research. 55 p.

Research output: Contribution to journal › Article › Academic › peer-review

2480 Towards a multi-toxicity NTCP modelling approach for head and neck cancer

MacRae, D., der Hoek, L. V., de Vette, S. P. M., Neh, H., van Ooijen, P. M. A., Sijtsema, N. M., Moreno, A. C., Fuller, C. D., Langendijk, J. A., Toro, M. V. & van Dijk, L. V., May-2025. 3 p.

Research output: Contribution to conference › Abstract › Academic

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning

Brouwer, E., Woerden, J. E. V., Burghouts, G., Valdenegro-Toro, M. & Zullich, M., 2025, Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 2. p. 114-125 12 p. (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review