rpcruz@fe.up.pt 0000-0002-5189-6228 github.com/rpmcruz PDF
Ricardo Cruz has worked 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. He is a Post-doc Researcher on autonomous driving at the Faculty of Engineering, University of Porto, and he has been a researcher at INESC TEC since 2015, where his research earned him the computer science PhD in 2021. He has a BSc in computer science and a MSc in applied mathematics. He is frequently invited to teach at the Faculty of Engineering, University of Porto, where he earned a pedagogic award.
The following citation counts come from Crossref. The SJR rank quantiles are of subject categories related to machine learning. The CORE rank is of the last year that is available for that conference. (last update: 2024-03-12)
Last update: 2024-03-12