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Found 4 papers, 2 papers with code
Applications of AI in Astronomy
We provide a brief, and inevitably incomplete overview of the use of Machine Learning (ML) and other AI methods in astronomy, astrophysics, and cosmology.
Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys
The nature of scientific and technological data collection is evolving rapidly: data volumes and rates grow exponentially, with increasing complexity and information content, and there has been a transition from static data sets to data streams that must be analyzed in real time.
Instrumentation and Methods for Astrophysics Databases
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets
The amount of collected data in many scientific fields is increasing, all of them requiring a common task: extract knowledge from massive, multi parametric data sets, as rapidly and efficiently possible.
Using conditional entropy to identify periodicity
This paper presents a new period finding method based on conditional entropy that is both efficient and accurate.
Instrumentation and Methods for Astrophysics
