Ricardo Pereira Cruz

Ricardo P. M. Cruz is an Assistant Professor at the Faculty of Engineering of the University of Porto and a researcher at INESC TEC. His work focuses on machine learning, particularly deep learning, and computer vision. He received a B.Sc. degree in Computer Science (2012), an M.Sc. degree in Mathematical Engineering (2015), both from the University of Porto, and a Ph.D. degree in Computer Science (2021) jointly from the University of Porto, Aveiro and Minho. His topics cover transversal aspects of machine learning with applications to health and autonomous driving, detailed in over 20 publications with 100+ citations.

Domains

Telecommunications and Multimedia Artificial Intelligence

Projects

CLARE

Computer-aided cervical cancer screening

Publications

Condition Invariance for Autonomous Driving by Adversarial Learning

Silva, DTE;Cruz, RPM;

2024

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2023, PT I

YOLOMM - You Only Look Once for Multi-modal Multi-tasking

Campos, F;Cerqueira, FG;Cruz, RPM;Cardoso, JS;

2024

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2023, PT I

Active Supervision: Human in the Loop

Cruz, RPM;Shihavuddin, ASM;Maruf, MH;Cardoso, JS;

2024

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2023, PT I

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models

Barbero-Gómez, J;Cruz, R;Cardoso, JS;Gutiérrez, PA;Hervás-Martínez, C;

2023

ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT II

View all publications

Supervised theses

Building Geolocated Narratives: A Retrieval System for Folk Songs Across Traditions

João Nuno Rua Fonseca

M - 2024

UP-FEUP

Centres

Telecommunications and Multimedia

The Centre for Telecommunications and Multimedia (CTM) welcomes close to 200 members, including at least 100 integrated researchers who carry out scientific work in the fields of communications, Artificial Intelligence, and computer science and engineering. The Centre’s activities cover several Research and Development (R&D) domains: Communications and Electronics Radio Frequency Technologies Optoelectronics Microelectronics Wireless Communication Networks Computer Perception Computer Vision applied to Medical Imaging Computer Vision applied to Digital Media Computer Audio applied to Music With multidisciplinary teams that include dozens of PhDs, CTM is strongly committed to both European and national research projects, as well as consultancy projects with industry.