C. Muntaner, A. Nadal, M. Martín, Y. González. Automatic deep learning-based pipeline for Mediterranean fish segmentation. In Frontiers in Marine Science, Frontiers , Fabio Fiorentino, vol. 12 - 2025, March, 2025.

C. Muntaner, E. Alfaro, A. Nadal, A. Martorell, M. Martín, F. Bonin-Font. Exploring deep waters: preliminary findings and design insights from a stereo vision unit deployment. In The 11th International Workshop on Marine Technology, Palma, 2024.

F. Bonin-Font, A. Martorell, B. M. Nordfeldt-Fiol, C. Muntaner, M. Martín, Y. González, G. Oliver. Measuring the temporal evolution of seagrass Posidonia oceanica coverage using autonomous marine robots and Deep Learning. In Estuarine, Coastal and Shelf Science, List of complete authors: Francisco Bonin-Font, Antoni Martorell-Torres, Miguel Martin Abadal, Caterina Muntaner-González , Bo Miquel Nordfeldt-Fiol, Yolanda González-Cid , Gabriel Oliver-Codina , Julia Máñez-Crespo , Xesca Reynés , Laura Pereda , Gema Hernan , Fiona Tomás, Elsevier, vol. 312, no. 109029, November, 2024.

C. Muntaner, M. Martín, Y. González. A Deep Learning Approach to Estimate Halimeda incrassata Invasive Stage in the Mediterranean Sea. In Marine Science and Engineering, vol. 12, no. 70, pp. 19, December, 2023.

M. Martín, Y. González. Efficient Implementation of Deep Nets for Video Processing to Preserve Marine Ecosystem Services. University of the Balearic Islands, Ph. D. Thesis, 2023.

M. Massot, F. Bonin-Font, E. Guerrero, A. Martorell, M. Martín, C. Muntaner, B. M. Nordfeldt-Fiol, G. Oliver, J. Cappeletto, B. Thornton. Assessing benthic marine habitats colonised with posidonia oceanica using autonomous marine robots and deep learning: A eurofleets campaign. In Estuarine, Coastal and Shelf Science, Elsevier, vol. 291, no. 108438, pp. 1-16, 2023.

C. Muntaner, B. M. Nordfeldt-Fiol, M. Martín, A. Martorell, F. Bonin-Font, F. Molina, R. Marín, G. Oliver, P. J. Sanz. Towards Underwater Robust Image Transmission Using Acoustic Communications. In IEEE Oceans, 2023.

M. Martín, G. Oliver, Y. González. Real-Time Pipe and Valve Characterisation and Mapping for Autonomous Underwater Intervention Tasks. In Sensors, MDPI, vol. 22, no. 8141, 2022.

Y. González, F. Bonin-Font, E. Guerrero, A. Martorell, M. Martín, G. Oliver, H. Hinz, L. Pereda-Briones, F. Tomàs. Autonomous Marine Vehicles and CNN: Tech Tools for Posidonia Meadows Monitoring. In IEEE Oceans , Sant Diego/Virtual, 2021.

F. Bonin-Font, M. Martín, E. Guerrero, A. Martorell, B. M. Nordfeldt-Fiol, Y. González, J. Máñez, F. Tomás. AUVs for Control of Marine Alien Invasive Species. In IEEE Oceans , Sant Diego/Virtual, 2021.

M. Martín, M. Piñar, A. Martorell, G. Oliver, Y. González. Underwater Pipe and Valve 3D Recognition Using Deep Learning Segmentation. In Journal of Marine Science and Engineering, MDPI, 2021.

E. Guerrero, F. Bonin-Font, G. Oliver, Y. González, M. Martín. Sparse Gaussian Process for Online Seagrass Semantic Mapping. In Expert Systems with Applications, Elsevier, vol. 170, pp. 114478, May, 2021.

M. Martín, Y. González, A. Ruiz, H. Hinz. The Application of Deep Learning in Marine Sciences. In Book: Deep Learning: Algorithms and Applications, Springer, pp. 193-230, 2020.

M. Martín, A. Ruiz, H. Hinz, Y. González. Jellytoring: Real-Time Jellyfish Monitoring Based on Deep Learning Object Detection. In MDPI Sensors, MDPI, vol. 20, no. 6, 2020.

H. Hinz, A. Ruiz, M. Martín, Y. González. Jellytoring: a global tool in the making. In The Marine Biologist magazin, Marine Biological Association, no. 15, 2020.

M. Martín, Y. González. Cloud Type Distinction Based on CNN: An Aid for Short-Term Weather Forecast. In Frontiers in Artificial Intelligence and Applications. Artificial Intelligence Research and Development, IOS Press, vol. 319, pp. 152 - 159, 2019.

M. Martín, G. Oliver, Y. González, I. Riutort. A deep learning solution for Posidonia oceanica seafloor habitat multiclass recognition. In IEEE Oceans, Marseilles, 2019.

M. Martín, A. Ruiz, H. Hinz, C. Jennings, Y. González. Real-time jellyfish quantification.

E. Guerrero, M. Martín, F. Bonin-Font, Y. González, G. Oliver. Uncertainty estimation for online seagrass semantic mapping using AUVs (Video).

M. Martín. Poster: Workflow for the online automatic process of Posidonia oceanica segmentation.

M. Martín, E. Guerrero, F. Bonin-Font, Y. González. Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows Identification. In IEEE Access, 2018.

M. Martín, A. Ruiz, C. Jennings, Y. González, H. Hinz. Jellyfish object detection.

M. Martín, E. Guerrero, F. Bonin-Font, Y. González. Deep Semantic Segmentation for Posidonia Meadows Identification.

G. Oliver, Y. González, A. Martorell, E. Guerrero, M. Martín, F. Tomàs, J. Máñez, L. Antich, R. Jiménez. Marine Robots for IAS Control.

G. Oliver, Y. González, F. Tomàs, E. Guerrero, A. Martorell, M. Martín, L. Antich, J. Máñez, R. Jiménez. Marine Robots for IAS Control – Short.