Iberoamerican Congress on Pattern Recognition (CIARP 2019)

We attend the Iberoamerican congress on Pattern recognition (CIARP 2019), held in Havana, Cuba. The congress is a series of annual international conferences devoted to all aspects of pattern recognition, computer vision, artificial intelligence, data mining and related fields. This conference was a great forum to exchange scientific results and experiences, as well as the sharing of new knowledge, and the increasing of the cooperation between research groups in pattern recognition and related areas.

I presented two papers there

1. Vásquez-Correa, J. C., Arias-Vergara, T., Rios-Urrego, C. D., Schuster, M., Rusz, J., Orozco-Arroyave, J. R., & Nöth, E. (2019). Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages. In Iberoamerican Congress on Pattern Recognition (pp. 697-706).

2. Vásquez-Correa, J. C., Rios-Urrego, C. D., Rueda, A., Orozco-Arroyave, J. R., Krishnan, S., & Nöth, E. (2019). Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients. In Iberoamerican Congress on Pattern Recognition (pp. 688-696).

Particulary, we were awarded with the best paper award at for the paper titled “Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages.”

This was a great opportunity to visit Cuba, and to exchange knowledge and experiences in topics related to all aspects of pattern recognition. Next year the conference will be held in Porto (Portugal), and I also plan to be there.