Search Results

Compression and Distribution of a Neural Network With IoT Applications

by Backe, Hannes, Rydberg, David
Published 2021

Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss

by Zabihzadeh, Davood, Tuama, Amar, Karami-Mollaee, Ali
Published 2020

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning

by Mittone, Gianluca, Tonci, Nicoló, Birke, Robert, Colonnelli, Iacopo, Medić, Doriana, Bartolini, Andrea, Esposito, Roberto, Parisi, Emanuele, Beneventi, Francesco, Polato, Mirko, Torquati, Massimo, Benini, Luca, Aldinucci, Marco
Published in Proceedings of the 20th ACM International Conference on Computing Frontiers (2023)

Echo-CGC: A Communication-Efficient Byzantine-Tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network ...

by Zhang, Qinzi, Tseng, Lewis
Published 2021

Development Of A Deep Neural Network Based Method For Quality Control Of Modis Maiac Aerosol Data For Aerosol Modeling Applications

by Aldridge, Joel Braxton
Published 2021

McNicol-2019-NPCTR-SOC-map

by McNicol, Gavin, Bulmer, Chuck, D'Amore, David D., Sanborn, Paul, Saunders, Sari, Giesbrecht, Ian, Gonzalez Arriola, Santiago, Bidlack, Allison, Butman, David, Buma, Brian
Published 2018

Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences

by Gagne, Tyler
Published 2021

A machine learning approach to predicting seafloor properties and their application in estimating a global methane hydrate inventory

by Lee, Taylor Runyan
Published 2021

Machine Learning Solutions for Navigating Big Data from the Arctic and Antarctic

by Maryam Rahnemoonfar (10967820), Masoud Yari (10957449), Debvrat Varshney (10942074), John Paden (10967784)
Published 2021

The Orchive: A system for semi-automatic annotation and analysis of a large collection of bioacoustic recordings

by Ness, Steven
Published 2013

PCA-based SVM classification for simulated ice floes in front of sluice gates

Published in Polar Science (2022)

Water Mass and Biogeochemical Variability in the Kerguelen Sector of the Southern Ocean: A Machine Learning Approach for a Mixing Hotspot

by Rosso, Isabella, Mazloff, Matthew R., Talley, Lynne D., Purkey, Sarah G., Freeman, Natalie M., Maze, Guillaume
Published in Journal of Geophysical Research: Oceans (2020)

Iceberg drift and melting rates in the northwestern Weddell Sea, Antarctica: Novel automated regional estimates through machine learning

by MAURO M. BARBAT, MAURICIO M. MATA
Published in Anais da Academia Brasileira de Ciências (2022)

Visions of the Arctic Future: Blending Computational Text Analysis and Structured Futuring to Create Story‐Based Scenarios

by P. W. Keys, A. E. Meyer
Published in Earth's Future (2022)

Expanding infrastructure and growing anthropogenic impacts along Arctic coasts

by Annett Bartsch (b.geos), Georg Pointner (b.geos), Ingmar Nitze (Permafrost Research Section, Alfred Wegener Institute for Polar and Marine Research), Aleksandra Efimova (b.geos), Dan Jakober (b.geos), Sarah Ley (b.geos), Elin Högström (b.geos), Guido Grosse (Permafrost Research Section Alfred Wegener Institute for Polar and Marine Research, Alfred Wegener Institute for Polar and Marine Research), Peter Schweitzer (Department of Social and Cultural Anthropology, Faculty of Social Sciences, University of Vienna)
Published in Environmental Research Letters (2021)

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

by Cohen, Judah, Coumou, Dim, Hwang, Jessica, Mackey, Lester, Orenstein, Paulo, Totz, Sonja, Tziperman, Eli
Published 2018

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

by Cohen, Judah, Coumou, Dim, Hwang, Jessica, Mackey, Lester, Orenstein, Paulo, Totz, Sonja, Tziperman, Eli
Published 2018

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

by Cohen, Judah, Coumou, Dim, Hwang, Jessica, Mackey, Lester, Orenstein, Paulo, Totz, Sonja, Tziperman, Eli
Published 2018

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

by Cohen, Judah, Coumou, Dim, Hwang, Jessica, Mackey, Lester, Orenstein, Paulo, Totz, Sonja, Tziperman, Eli
Published 2018

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

by Cohen, Judah, Coumou, Dim, Hwang, Jessica, Mackey, Lester, Orenstein, Paulo, Totz, Sonja, Tziperman, Eli
Published 2018