Manjur, S. M., Senyurek, V., Skarke, A., & Gurbuz, A. (2025). Deep Learning Based Sequential Processing of Multibeam Echosounder Images for Automated Detection of Seafloor Gas Seep Occurrence. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 18, 25549-25561. DOI:10.1109/JSTARS.2025.3612936. [Document Site]

Skarke, A., Gurbuz, A., Senyurek, V., Manjur, S., Kalski, R., & Gupta, S. (2024). Automated Detection of Seafloor Gas Seeps with an Attention-Guided Convolutional Neural Network. AGU Fall Meeting Abstracts. Washington DC.. 2024(573).

Hicks, B., Ayna, C. O., Senyurek, V., Gupta, S., Skarke, A., & Gurbuz, A. (2023). Machine Learning Based Automated Detection of Seafloor Gas Seeps. OCEANS 2023 - MTS/IEEE U.S. Gulf Coast. Biloxi, MS, USA: IEEE. 1-6. DOI:10.23919/OCEANS52994.2023.10337038. [Abstract] [Document Site]

Fitzpatrick, P. J., Lau, Y. H., Moorhead, R. J., Skarke, A., Merritt, D., Kreider, K., Masters, J., Carlon, R., Hine, G., Lampoudi, T., & Leonardi, A. (2016). Further Analysis of the 2014 Gulf of Mexico Wave Glider Field Program. Marine Technology Society Journal. Marine Technology Society. 50(3), 72-75. DOI:10.4031/MTSJ.50.3.3. [Abstract] [Document Site]

DuVal, C., Trembanis, A., & Skarke, A. (2015). Characterizing and Hindcasting Ripple Bedform Dynamics: Field Test of Non-equilibrium Models Utilizing a Fingerprint Algorithm. Continental Shelf Reserch. 116, 103-115.