IJCNN Best Paper Award en WCCI 2024

TECNALIA's artificial intelligence research has reached a new level of excellence, after one of its papers presented at the IJCNN (International Joint Conference on Neural Networks) won the coveted IJCNN Best Paper Award.

The winning paper, entitled Balancing Performance, Efficiency and Robustness in Open-World Machine Learning using Evolutionary Multi-objective Model Compression, was presented by a research team led by Javier Del Ser, in collaboration with Aitor Martínez Seras, Nekane Bilbao, Jesús López Lobo, PhD, Ibai Laña, PhD and Francisco Herrera, at the World Congress on Computational Intelligence (WCCI 2024) held in Yokohama, Japan.

WCCI 2024 gathered more than 2000 attendees from all over the world. It is the largest congress on intelligent computing in the world and brings together three sub-conferences; Fuzz-IEEE, CEC and the International Joint Conference on Neural Networks (IJCNN).

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