Paper published @ Neural Computing & Applications
I’m happy to share that our paper has been published in Neural Computing & Applications:
Clustering Astronomical Orbital Synthetic Data Using Advanced Feature Extraction and Dimensionality Reduction Techniques.
Read it here: https://doi.org/10.1007/s00521-026-12057-4
Thanks to my co-authors for the great collaboration: Eraldo Pereira Marinho, Nelson Callegari Junior, and Caetano Mazzoni Ranieri.
Dynamical map representing the clustering of initial orbital conditions in the space of semi-major axis versus initial eccentricity.
Fabricio Breve
Fabricio Breve received his bachelor's degree from the Methodist University of Piracicaba, Brazil in 2001, his master's degree from the Federal University of Sao Carlos, Brazil in 2006, and his Ph.D. from the University of Sao Paulo, Brazil in 2010, with a collaborative period at the University of Alberta, Canada. He is currently an associate professor at Sao Paulo State University, Brazil. His research interests include machine learning, pattern recognition, image processing, artificial neural networks, complex networks, and nature-inspired computing.
Permanent link to this article: https://www.fabriciobreve.com/2026/04/24/paper-published-neural-computing-applications/
