Brian J. Bett

According to our database, Brian J. Bett authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-supervised learning with multimodal remote sensed maps for seafloor visual class inference.

Cailei Liang, José Cappelletto, Miquel Massot-Campos, Adrian Bodenmann, Veerle A. I. Huvenne, Catherine Wardell, Brian J. Bett, Darryl Newborough, Blair Thornton

Int. J. Robotics Res., 2025

2024

Defining the target population to make marine image-based biological data FAIR.

Jennifer M. Durden, Timm Schoening, Emma J. Curtis, Anna Downie, Andrew R. Gates, Daniel O. B. Jones, Alexandra Kokkinaki, Erik Simon-Lledó, Danielle Wright, Brian J. Bett

Ecol. Informatics, 2024

2022

AURORA, a multi-sensor dataset for robotic ocean exploration.

Marco Bernardi, Brett Hosking, Chiara Petrioli, Brian J. Bett, Daniel Jones, Veerle A. I. Huvenne, Rachel Marlow, Maaten Furlong, Steve McPhail, Andrea Munafò

Int. J. Robotics Res., 2022

2021

AURORA, A multi sensor dataset for robotic ocean exploration.

Marco Bernardi, Brett Hosking, Chiara Petrioli, Brian J. Bett, Daniel Jones, Veerle A. I. Huvenne, Rachel Marlow, Maaten Furlong, Steve McPhail, Andrea Munafò

Dataset, November, 2021

2020

Assessing the Repeatability of Automated Seafloor Classification Algorithms, with Application in Marine Protected Area Monitoring.

America Zelada Leon, Veerle A. I. Huvenne, Noëlie M. A. Benoist, Matthew Ferguson, Brian J. Bett, Russell B. Wynn

Remote. Sens., 2020