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Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23
Mapping Intimacies
◽
10.1002/essoar.10507642.1
◽
2021
◽
Author(s):
Spiridon Kasapis
◽
Lulu Zhao
◽
Yang Chen
◽
Xiantong Wang
◽
Monica Bobra
◽
...
Keyword(s):
Machine Learning
◽
Solar Cycle
◽
Interpretable Machine Learning
◽
Solar Cycle 23
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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases
10.3389/978-2-88966-274-6
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2020
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Keyword(s):
Machine Learning
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Big Data
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Hereditary Diseases
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Learning Methods
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Machine Learning Methods
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Interpretable Machine Learning
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Interpretable Machine Learning: Shapley Values (Seminar Slides)
SSRN Electronic Journal
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10.2139/ssrn.3637020
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2020
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Author(s):
Marcos López de Prado
Keyword(s):
Machine Learning
◽
Interpretable Machine Learning
◽
Shapley Values
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Investable and Interpretable Machine Learning for Equities
SSRN Electronic Journal
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10.2139/ssrn.3747203
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2020
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Author(s):
Yimou Li
◽
Zachary Simon
◽
David Turkington
Keyword(s):
Machine Learning
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Mid-term Periodicities in Solar Radio Emission Corresponding to Sunspot Number During Solar Cycle 23
Solar Physics
◽
10.1007/s11207-021-01793-6
◽
2021
◽
Vol 296
(3)
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Author(s):
Mahender Aroori
◽
Panditi Vemareddy
◽
Partha Chowdhury
◽
Ganji Yellaiah
Keyword(s):
Solar Cycle
◽
Radio Emission
◽
Sunspot Number
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Solar Radio
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Solar Radio Emission
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Solar Cycle 23
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Kinetic magnetic holes in the high-speed streams during solar cycle 23
Planetary and Space Science
◽
10.1016/j.pss.2020.105066
◽
2020
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Vol 192
◽
pp. 105066
Author(s):
Alexander S. Potapov
Keyword(s):
Solar Cycle
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High Speed
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Solar Cycle 23
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Techniques for interpretable machine learning
Communications of the ACM
◽
10.1145/3359786
◽
2019
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Vol 63
(1)
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pp. 68-77
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Cited By ~ 47
Author(s):
Mengnan Du
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Ninghao Liu
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Xia Hu
Keyword(s):
Machine Learning
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Interpretable Machine Learning
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CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy
Cell Systems
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10.1016/j.cels.2020.11.013
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2020
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Author(s):
Bo Yuan
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Ciyue Shen
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Augustin Luna
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Machine Learning
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Combination Therapy
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Physically interpretable machine learning algorithm on multidimensional non-linear fields
Journal of Computational Physics
◽
10.1016/j.jcp.2020.110074
◽
2021
◽
Vol 428
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pp. 110074
Author(s):
Rem-Sophia Mouradi
◽
Cédric Goeury
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Olivier Thual
◽
Fabrice Zaoui
◽
Pablo Tassi
Keyword(s):
Machine Learning
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Learning Algorithm
◽
Machine Learning Algorithm
◽
Interpretable Machine Learning
◽
Non Linear
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Application of interpretable machine learning models for the intelligent decision
Neurocomputing
◽
10.1016/j.neucom.2018.12.012
◽
2019
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Vol 333
◽
pp. 273-283
◽
Cited By ~ 10
Author(s):
Yawen Li
◽
Liu Yang
◽
Bohan Yang
◽
Ning Wang
◽
Tian Wu
Keyword(s):
Machine Learning
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Learning Models
◽
Interpretable Machine Learning
◽
Intelligent Decision
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Machine Learning Models
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Study of the geoeffectiveness of coronal mass ejections, corotating interaction regions and their associated structures observed during Solar Cycle 23
Astrophysics and Space Science
◽
10.1007/s10509-016-2839-4
◽
2016
◽
Vol 361
(8)
◽
Cited By ~ 12
Author(s):
A. Badruddin
◽
Z. Falak
Keyword(s):
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◽
Coronal Mass Ejections
◽
Corotating Interaction Regions
◽
Solar Cycle 23
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Interaction Regions
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