A Bayesian approach for predicting risk of autonomous underwater vehicle loss during their missions. - Mario Brito; Gwyn Griffiths (Reliab. Eng. Syst. Saf., 2016)

Adaptive Autonomous Underwater Vehicles: An Assessment of Their Effectiveness for Oceanographic Applications. - Mario Brito; Ronald S. Lewis; Neil Bose; Gwyn Griffiths (IEEE Trans. Engineering Management, 2019)

A Hybrid Fuzzy System Dynamics Approach for Risk Analysis of AUV Operations. - Tzu Yang Loh; Mario Brito; Neil Bose; Jingjing Xu; Natalia D. Nikolova; Kiril Tenekedjiev (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Geospatial Data Analysis for Global Maritime Risk Assessment Using the Discrete Global Grid System. - Andrew Rawson; Zoheir A. Sabeur; Mario Brito (IGARSS, 2021)

A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles. - Xi Chen; Neil Bose; Mario Brito; Faisal Khan; Bo Thanyamanta; Ting Zou (Reliab. Eng. Syst. Saf., 2021)

Industry Led Use-Case Development for Human-Swarm Operations. - Jediah R. Clark; Mohammad Naiseh; Joel E. Fischer; Marise Galvez Trigo; Katie J. Parnell; Mario Brito; Adrian Bodenmann; Sarvapali D. Ramchurn; Mohammad Divband Soorati (CoRR, 2022)

Trustworthy UAV Relationships: Applying the Schema Action World Taxonomy to UAVs and UAV Swarm Operations. - Katie J. Parnell; Joel E. Fischer; Jediah R. Clark; Adrian Bodenmann; Maria Jose Galvez Trigo; Mario Brito; Mohammad Divband Soorati; Katherine L. Plant; Sarvapali D. Ramchurn (Int. J. Hum. Comput. Interact., 2023)

Trust, risk perception, and intention to use autonomous vehicles: an interdisciplinary bibliometric review. - Mohammad Naiseh; Jediah R. Clark; Tugra Akarsu; Yaniv Hanoch; Mario Brito; Mike Wald; Thomas Webster; Paurav Shukla (AI Soc., 2025)