Intelligent Astrophysics - Emergence, Complexity and Computation
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Published By Springer International Publishing

9783030658663, 9783030658670
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Intelligent Photometric Identification of Extragalactic Objects from AllWISE$$\times $$Pan-STARRS DR1 Data

2021 ◽  
pp. 137-152
Author(s):  
Vladislav Khramtsov ◽  
Volodymyr Akhmetov ◽  
Peter Fedorov ◽  
Sergii Khlamov ◽  
Artem Dmytrenko ◽  
...  

Artificial Intelligence in Astrophysics

2021 ◽  
pp. 1-28
Author(s):  
Ivan Zelinka ◽  
Thanh Cong Truong ◽  
Diep Quoc Bao ◽  
Lumir Kojecky ◽  
Eslam Amer
Keyword(s):  
Artificial Intelligence

Application of Machine and Deep Learning Methods to the Analysis of IACTs Data

2021 ◽  
pp. 115-136
Author(s):  
Alessandro Bruno ◽  
Antonio Pagliaro ◽  
Valentina La Parola
Keyword(s):  
Deep Learning ◽  
Learning Methods

scholarly journals Rejection Criteria Based on Outliers in the KiDS Photometric Redshifts and PDF Distributions Derived by Machine Learning

2021 ◽  
pp. 245-264
Author(s):  
Valeria Amaro ◽  
Stefano Cavuoti ◽  
Massimo Brescia ◽  
Giuseppe Riccio ◽  
Crescenzo Tortora ◽  
...  
Keyword(s):  
Machine Learning ◽  
Photometric Redshifts

scholarly journals Anomaly Detection in Astrophysics: A Comparison Between Unsupervised Deep and Machine Learning on KiDS Data

2021 ◽  
pp. 225-244
Author(s):  
Maurizio D’Addona ◽  
Giuseppe Riccio ◽  
Stefano Cavuoti ◽  
Crescenzo Tortora ◽  
Massimo Brescia
Keyword(s):  
Machine Learning ◽  
Anomaly Detection

scholarly journals Comparison of Outlier Detection Methods on Astronomical Image Data

2021 ◽  
pp. 197-223
Author(s):  
Lars Doorenbos ◽  
Stefano Cavuoti ◽  
Massimo Brescia ◽  
Antonio D’Isanto ◽  
Giuseppe Longo
Keyword(s):  
Outlier Detection ◽  
Image Data ◽  
Detection Methods ◽  
Astronomical Image
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