Titlebook: Intelligent Astrophysics; Ivan Zelinka,Massimo Brescia,Dalya Baron Book 2021 The Editor(s) (if applicable) and The Author(s), under exclus

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書目名稱Intelligent Astrophysics影響因子(影響力)




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書目名稱Intelligent Astrophysics網(wǎng)絡(luò)公開度學科排名




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書目名稱Intelligent Astrophysics被引頻次學科排名




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瑪瑙

2194-7287 sical data processing.Discusses new ideas and interdisciplin.This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and informa

Hdl348

Comparison of Outlier Detection Methods on Astronomical Image Data,plied to data extracted from SDSS stripe 82. After discussing the sensitivity of each method to its own set of hyperparameters, we combine the results from each method to rank the objects and produce a final list of outliers.

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Book 2021er interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics.?.

態(tài)學

arbiter

HARD

Ensemble Classifiers for Pulsar Detection,pically improved classification performance, while class imbalance can be addressed through careful sampling or through cost-sensitive classification. Our results demonstrate that such dedicated ensembles yield better results compared to methods that do not consider class balance.

衰老

高興一回

The Voronoi Tessellation Method in Astronomy,he moving-mesh cosmology simulation. We briefly describe these results paying more attention to the practical application of the Voronoi tessellation related to the spatial large-scale galaxy distribution.

高腳酒杯

Statistical Characterization and Classification of Astronomical Transients with Machine Learning in is based on a test campaign performed on simulated data. The classification was carried out by comparing the performances among several Machine Learning algorithms on statistical parameters extracted from the light curves. The results make in evidence some critical aspects related to the data quali