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Utilizing Macroeconomic Factors for Sector Rotation based on Interpretable Machine Learning and Explainable AI
2020 IEEE International Conference on Big Data (Big Data)
◽
10.1109/bigdata50022.2020.9377954
◽
2020
◽
Author(s):
Ye Zhu
◽
Chao Yi
◽
Yixin Chen
Keyword(s):
Machine Learning
◽
Macroeconomic Factors
◽
Interpretable Machine Learning
◽
Explainable Ai
◽
Sector Rotation
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10.1016/j.knosys.2021.106916
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2021
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pp. 106916
Author(s):
Miroslav Hudec
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Erika Mináriková
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Anna Saranti
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Andreas Holzinger
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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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Automatic Modeling of Logic Device Performance Based on Machine Learning and Explainable AI
2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
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10.23919/sispad49475.2020.9241681
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2020
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Author(s):
Seungju Kim
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Kwangseok Lee
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Hyeon-Kyun Noh
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Youngkyu Shin
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Kyu-Baik Chang
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...
Keyword(s):
Machine Learning
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Device Performance
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Logic Device
◽
Automatic Modeling
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Explainable Ai
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Understanding Machine Learning for Diversified Portfolio Construction by Explainable AI
SSRN Electronic Journal
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10.2139/ssrn.3528616
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2020
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Author(s):
Markus Jaeger
◽
Stephan Krügel
◽
Dimitri Marinelli
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Jochen Papenbrock
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Peter Schwendner
Keyword(s):
Machine Learning
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Portfolio Construction
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Explainable Ai
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Diversified Portfolio
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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
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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
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Zachary Simon
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David Turkington
Keyword(s):
Machine Learning
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Interpretable Machine Learning
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Techniques for interpretable machine learning
Communications of the ACM
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10.1145/3359786
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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
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Vol 428
◽
pp. 110074
Author(s):
Rem-Sophia Mouradi
◽
Cédric Goeury
◽
Olivier Thual
◽
Fabrice Zaoui
◽
Pablo Tassi
Keyword(s):
Machine Learning
◽
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
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pp. 273-283
◽
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Author(s):
Yawen Li
◽
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Keyword(s):
Machine Learning
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Learning Models
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Interpretable Machine Learning
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Intelligent Decision
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Machine Learning Models
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