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1

A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha

by The 2021 Conference on Empirical Methods in Natural Language Processing 2021, ., Jonathan, Ivanova, Sardana, Tyers, Francis
Published 2021

Subjects: “...Machine Learning...”
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2

The Distributed Machine Learning in Cloud Computing and Web Technology: A Review of Scalability and Efficiency

by Zeebaree, Imad
Published 2024

Subjects: “...Distributed Machine Learning...”
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Article in Journal/Newspaper

3

Comparative Performance Study of Linear and Gaussian Kernel SVM Implementations for Phase Scintillation Detection

by Savas, Caner, Dovis, Fabio
Published in 2019 International Conference on Localization and GNSS (ICL-GNSS) (2019)

Subjects: “...Machine Learning...”
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Conference Object

4

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space

by The 2021 Conference on Empirical Methods in Natural Language Processing 2021, Jones, Alex, Mahowald, Kyle, Wang, William Yang
Published 2021

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

5

UK RSE Conference 2022 Walkthrough - MLOps for RSEs - Sample Data

by Stephen Hadadad
Published 2022

Subjects: “...Machine Learning...”
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Dataset

6

RADARSAT-2 Polarimetric Radar Imaging for Lake Ice Mapping

by Pan, Feng
Published 2017

Subjects: “...Machine Learning...”
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Master Thesis

7

1903 - Making Every Label Count: Handling Semantic Imprecision By Integrating Domain Knowledge

by 25th International Conference on Pattern Recognition 2021, Brust, Clemens-Alexander
Published 2020

Subjects: “...Machine Learning...”
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8

Crude Oil Price Forecasting Using Machine Learning

by Shambulingappa H S
Published 2021

Subjects: “...Machine Learning....”
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Text

9

Crude Oil Price Forecasting Using Machine Learning

by Shambulingappa H S
Published 2021

Subjects: “...Machine Learning....”
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Text

10

1264 - SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

by 25th International Conference on Pattern Recognition 2021, Memmesheimer, Raphael
Published 2020

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

11

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks

by Driscoll S., Carrassi A., Brajard J., Bertino L., Bocquet M., Olason E. O.
Published in Journal of Computational Science (2024)

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

12

From Isotopes and Whole Rock Geochemistry to Machine Learning: Diving into the Plumbing System of Large Mafic Eruptions using a Diverse Geochemical Toolset to Investigate Magmatic...

by Hampton, Rachel
Published 2023

Subjects: “...Machine Learning...”
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Thesis

13

Osteometric Study of Metapodial Bones and Phalanges as Indicators of the Behavioural Ecology of Modern Reindeer (Rangifer tarandus) and Implications for Reconstruction of Paleo Mob...

by Galán López, Ana, Costamagno, Sandrine, Burke, Ariane
Published in Open Quaternary (2022)

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

14

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

by Association for Artificial Intelligence 2023, Gu, Bin, Luo, Lei, Zhang, Chenkang
Published 2023

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

15

Osteometric Study of Metapodial Bones and Phalanges as Indicators of the Behavioural Ecology of Modern Reindeer (Rangifer tarandus) and Implications for Reconstruction of Paleo Mob...

by Galán López, Ana, Costamagno, Sandrine, Burke, Ariane
Published in Open Quaternary (2022)

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

16

Unsupervised part-of-speech induction for language description: Modeling documentation materials in Kolyma Yukaghir ...

by Association for Computational Linguistics 2023, Roll, Nathan, Todd, Simon, Ventayol-Boada, Albert
Published 2023

Subjects: “...Machine Learning...”
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17

Deep Machine Learning with Spatio-Temporal Inference

by Karnowski, Thomas Paul
Published 2012

Subjects: “...Machine Learning...”
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Text

18

Automated Extraction of Glacial Features using Deep Learning

by Cheng, Daniel Lop-Chi
Published 2021

Subjects: “...Machine Learning...”
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Other/Unknown Material

19

Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data

by Nielsen, Andreas Holm, Iosifidis, Alexandros, Karstoft, Henrik
Published in Scientific Reports (2022)

Subjects: “...Machine Learning...”
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Article in Journal/Newspaper

20

Datasets from "Electrostatic Embedding of Machine Learning Potentials"

by Kirill Zinovjev
Published 2022

Subjects: “...Machine Learning...”
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Dataset

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