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221

Data Sampling and Analysis for the Improvement of Estimating Heating Loads in Alaska

by Gaumer, Madelyn Elizabeth
Published 2022
Subjects: “...Machine Learning...”

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222

Runoff Calculations For Ungauged River Basins Of The Russian Arctic Region

by Ayzel Georgy
Published 2016
Subjects: “...arctic, runoff, modeling, ungauged basins, machine learning, HBV...”

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Conference Object
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223

A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic

by Waga, Hisatomo, Eicken, Hajo, Light, Bonnie, Fukamachi, Yasushi
Published in Remote Sensing of Environment
Subjects: “...Machine learning...”

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224

DIT4BEARs Smart Roads Internship

by Jahin, Md. Abrar, Krutsylo, Andrii
Published 2021
Subjects: “...Machine Learning cs.LG...”

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Article in Journal/Newspaper
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225

ILSA 2017 in Tromsø : proceedings from the 42nd annual conference of the International Lung Sound Association

by Melbye, Hasse
Published 2017
Subjects: “...machine learning...”

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226

Trajectories of land surface evolution in polygonal tundra

by Abolt, Charles Joseph
Published 2019
Subjects: “...Machine learning...”

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227

Detecting and interpreting faults in vulnerable power grids with machine learning

by Eikeland, Odin Foldvik, Holmstrand, Inga Setså, Bakkejord, Sigurd, Chiesa, Matteo, Bianchi, Filippo Maria
Published 2021
Subjects: “...Machine Learning cs.LG...”

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Article in Journal/Newspaper
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228

Machine learning and the identification of Smart Specialisation thematic networks in Arctic Scandinavia

by Moilanen, M. (Mikko), Østbye, S. (Stein), Simonen, J. (Jaakko)
Published 2022
Subjects: “...machine learning...”

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Article in Journal/Newspaper
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229

Runoff calculations for ungauged river basins of the Russian Arctic region

by Ayzel Georgy
Published 2016
Subjects: “...machine learning...”

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Conference Object
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230

End-to-End Automatic Speech Recognition with Deep Mutual Learning

by Masumura, Ryo, Ihori, Mana, Takashima, Akihiko, Tanaka, Tomohiro, Ashihara, Takanori
Published 2021
Subjects: “...Computer Science - Machine Learning...”

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231

Exploring Adversarial Robustness of Deep Metric Learning

by Panum, Thomas Kobber, Wang, Zi, Kan, Pengyu, Fernandes, Earlence, Jha, Somesh
Published 2021
Subjects: “...Computer Science - Machine Learning...”

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232

Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning

by Zhang, Chenkang, Luo, Lei, Gu, Bin
Published 2022
Subjects: “...Computer Science - Machine Learning...”

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233

Automatic Double Machine Learning for Continuous Treatment Effects

by Klosin, Sylvia
Published 2021
Subjects: “...Statistics - Machine Learning...”

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234

Distributed Machine Learning and the Semblance of Trust

by Usynin, Dmitrii, Ziller, Alexander, Rueckert, Daniel, Passerat-Palmbach, Jonathan, Kaissis, Georgios
Published 2021
Subjects: “...Computer Science - Machine Learning...”

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235

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

by Giorgi, John, Nitski, Osvald, Wang, Bo, Bader, Gary
Published 2020
Subjects: “...Computer Science - Machine Learning...”

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236

R\'{e}nyi Divergence Deep Mutual Learning

by Huang, Weipeng, Tao, Junjie, Deng, Changbo, Fan, Ming, Wan, Wenqiang, Xiong, Qi, Piao, Guangyuan
Published 2022
Subjects: “...Computer Science - Machine Learning...”

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237

Predicting failure characteristics of structural materials via deep learning based on nondestructive void topology

by Tiong, Leslie Ching Ow, Lee, Gunjick, Sohn, Seok Su, Kim, Donghun
Published 2022
Subjects: “...Computer Science - Machine Learning...”

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238

Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2

by Annett Bartsch, Georg Pointner, Thomas Ingeman-Nielsen, Wenjun Lu
Published in Remote Sensing (2020)
Subjects: “...machine learning...”

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239

Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning

by Tianchen Liang, Shunlin Liang, Linqing Zou, Lin Sun, Bing Li, Hao Lin, Tao He, Feng Tian
Published in Remote Sensing (2022)
Subjects: “...machine learning...”

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240

Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River

by Mikhail Sarafanov, Yulia Borisova, Mikhail Maslyaev, Ilia Revin, Gleb Maximov, Nikolay O. Nikitin
Published in Water (2021)
Subjects: “...automated machine learning...”

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