rpcruz@fe.up.pt
rpmcruz
0000-0002-5189-6228
PDF
Ricardo P. M. Cruz received a B.S. degree in Computer Science and an M.S. degree in Applied Mathematics, both from the University of Porto, Portugal. Since 2015, he has been a researcher at INESC TEC, working in machine learning with a particular emphasis on computer vision. He earned his Ph.D. in Computer Science in 2021 with a special emphasis on computer vision and deep learning. After this, he was a post-doctoral researcher on autonomous driving under the THEIA research project. Currently, Cruz is an Assistant Professor at the Faculty of Engineering of the University of Porto. He works on a wide range of machine learning topics, with particular emphasis on theoretical aspects of deep learning and computer vision – with 20+ publications and 100+ citations in such topics as: • adapting ranking models for class imbalance; • making convolutional neural networks invariant to background; • making them faster by adjusting the computational effort to each image; • losses for ordinal regression.
Google Scholar | Scopus | Web of Science |
---|---|---|
7 | 5 | 4 |
Sources for the following metrics: • Impact Factor (IF) as reported by the journal's webpage. • SJR rank quartiles are from Scimago and relate to the subject category closest to machine learning (not necessarily the best quartile). • CORE rank is from ICORE for whatever last year is available for that conference. • Citation counts come from Crossref. Last update: 2025-02-16