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1by Dumitru, C. O., Andrei, V., Schwarz, G., Datcu, M.“... weather conditions. To this end, we applied modern machine learning techniques to produce ice-describing...”
Published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2019)
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2“... an integrated machine learning tool to objectively classify and track marine carbon biomes under seasonally...”
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3“... models, we test three general-purpose Machine Learning (ML) approaches to understand their strengths...”
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4by Kaltenborn, Julia, Macfarlane, Amy R., Clay, Viviane, Schneebeli, Martin“..., such as from classified snow pits. We evaluate how well machine learning models can automatically segment...”
Published in Geoscientific Model Development (2023)
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5“..., such as from classified snow pits. We evaluate how well machine learning models can automatically segment...”
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6by Tian, Tian, Cheng, Lijing, Wang, Gongjie, Abraham, John, Wei, Wangxu, Ren, Shihe, Zhu, Jiang, Song, Junqiang, Leng, Hongze“..., than the 1 ∘ × 1 ∘ resolution product, indicating the efficiency of the machine learning approach...”
Published in Earth System Science Data (2022)
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7by Tian, Tian, Cheng, Lijing, Wang, Gongjie, Abraham, John, Ren, Shihe, Zhu, Jiang, Song, Junqiang, Leng, Hongze“... change and its variability. Here, we explore a machine learning approach to reconstruct a high-resolution...”
Published 2022
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8“... circulation would need to be tested. Here, we use unsupervised machine learning techniques to define distinct...”
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9by Goliber, Sophie, Black, Taryn, Catania, Ginny, Lea, James M., Olsen, Helene, Cheng, Daniel, Bevan, Suzanne, Bjørk, Anders, Bunce, Charlie, Brough, Stephen, Carr, J. Rachel, Cowton, Tom, Gardner, Alex, Fahrner, Dominik, Hill, Emily, Joughin, Ian, Korsgaard, Niels, Luckman, Adrian, Moon, Twila, Murray, Tavi, Sole, Andrew, Wood, Michael, Zhang, Enze“..., particularly for Greenland, which is a major scientific research focus. At the same time, machine learning...”
Published 2021
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10GTWS-MLrec: Global terrestrial water storage reconstruction by machine learning from 1940 to presentby Yin, Jiabo, Slater, Louise J., Khouakhi, Abdou, Yu, Le, Liu, Pan, Li, Fupeng, Pokhrel, Yadu, Gentine, Pierre“... is achieved by using a set of machine learning models with a large number of predictors, including climatic...”
Published 2023
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11GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to presentby Yin, Jiabo, Slater, Louise J., Khouakhi, Abdou, Yu, Le, Liu, Pan, Li, Fupeng, Pokhrel, Yadu, Gentine, Pierre“.... The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including...”
Published in Earth System Science Data (2023)
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12by Goliber, Sophie, Black, Taryn, Catania, Ginny, Lea, James M., Olsen, Helene, Cheng, Daniel, Bevan, Suzanne, Bjørk, Anders, Bunce, Charlie, Brough, Stephen, Carr, J. Rachel, Cowton, Tom, Gardner, Alex, Fahrner, Dominik, Hill, Emily, Joughin, Ian, Korsgaard, Niels J., Luckman, Adrian, Moon, Twila, Murray, Tavi, Sole, Andrew, Wood, Michael, Zhang, Enze“..., particularly for Greenland, which is a major scientific research focus. At the same time, machine learning...”
Published in The Cryosphere (2022)
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13“... in the machine learning community known as “SHAP” (SHapley Additive exPlanations). We apply our methodology to a...”
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14by Rohmer, Jeremy, Thieblemont, Remi, Cozannet, Goneri, Goelzer, Heiko, Durand, Gael“... in the machine learning community known as “SHAP” (SHapley Additive exPlanations). We apply our methodology to a...”
Published in The Cryosphere (2022)
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15“... occurrence was defined using the Standardized Precipitation Index. The best performing machine learning...”
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16“... Long-Short-Term Memory Neural Network, Bi-LSTM) belongs to the category of machine learning methods...”
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17by Zhang, Zeguo, Wagner, Sebastian, Klockmann, Marlene, Zorita, Eduardo“... to the category of machine-learning methods. In contrast to PCR and CCA, Bi-LSTM does not need to assume a linear...”
Published in Climate of the Past (2022)
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18“... of this gas. In this study, we applied machine learning methods to model the distribution of DMS in the NE...”
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19“... of this gas. In this study, we applied machine-learning methods to model the distribution of DMS...”
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20by Mete, Öykü, Subhas, Adam, Kim, Heather, Dunlea, Ann, Whitmore, Laura, Shiller, Alan, Gilbert, Melissa, Leavitt, William, Horner, Tristan“... 4,095 models for predicting [Ba] using Gaussian Progress Regression Machine Learning. These models were...”
Published 2023
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