Search Results

VAE-based latent-space classification of RNO-G data

by Glüsenkamp, Thorsten
Published 2023

Bias corrected era5 skin temperature over the Arctic sea ice – 1981 to 2018 monthly means and climatology ...

by Zampieri, Lorenzo
Published 2023

Bias corrected era5 skin temperature over the Arctic sea ice – 1981 to 2018 monthly means and climatology ...

by Zampieri, Lorenzo
Published 2023

A probability model to detect carbonate cementation in sandstones and other enigmatic wireline facies

by Bunch, M.A.
Published in Marine and Petroleum Geology (2020)

Recommender Systems for DevOps

by Maddila, C.S. (author)
Published 2022

Machine Learning Thermo-Barometry: Application to Clinopyroxene-Bearing Magmas

by Petrelli M., Caricchi L., Perugini D.
Published in Journal of Geophysical Research: Solid Earth (2020)

Brain-inspired Distributed Memorization Learning for Efficient Feature-free Unsupervised Domain Adaptation ...

by Lv, Jianming, Liang, Depin, Liang, Zequan, Zhang, Yaobin, Xia, Sijun
Published 2024

Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry

by Fernandes-salvador, Jose A., Davidson, Keith, Sourisseau, Marc, Revilla, Marta, Schmidt, Wiebke, Clarke, Dave, Miller, Peter I., Arce, Paola, Fernández, Raúl, Maman, Luz, Silva, Alexandra, Whyte, Callum, Mateo, Maria, Neira, Patricia, Mateus, Marcos, Ruiz-villarreal, Manuel, Ferrer, Luis, Silke, Joe
Published in Frontiers in Marine Science (2021)

Neighbour-Aware Cooperation For Semi-Supervised Decentralized Machine Learning

by Prof. Anmol S Budhewar, Prof. Pramod G Patil, Prof. Sunil M Kale
Published in Educational Administration Theory and Practices (2024)

Antarctic Geothermal Heat Flow: Investigations by Geophysical and Statistical Analyses

by Lösing, Mareen Isabell Susanne
Published 2022

Whistle classification ofsympatric false killer whale populations in Hawaiian waters yields low accuracy rates

by Barkley, Yvonne, Oleson, Erin M., Oswald, Julie N., Franklin, Erik C.
Published in Frontiers in Marine Science (2019)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Improve automatic detection of animal call sequences with temporal context

by Madhusudhana, Shyam, Shiu, Yu, Klinck, Holger, Fleishman, Erica, Liu, Xiaobai, Nosal, Eva-Marie, Helble, Tyler, Cholewiak, Danielle, Gillespie, Douglas, Širović, Ana, Roch, Marie A
Published in Journal of The Royal Society Interface (2021)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, Ham, Yoo-Geun, Im, Jungho, Kim, Baek-Min, Kim, Beong-Hoon, Kim, Jinsuk, Kim, Joo-Hong, Kim, Seong-Joong, Kim, Seung Hee, Korosov, Anton, Lee, Choon-Ki, Lee, Donghyuck, Lee, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica

by Riel, B., Minchew, B., Bischoff, T.
Published 2021