162 citations · 262 across the 7 of their papers we have counts for
7 papers
From Photometric Redshifts to Improved Weather Forecasts: machine learning and proper scoring rules as a basis for interdisciplinary work
Kai Lars Polsterer, Antonio D'Isanto, Sebastian Lerch
The amount, size, and complexity of astronomical data-sets and databases are growing rapidly in the last decades, due to new technologies and dedicated survey telescopes. Besides d…
Comparison of outlier detection methods on astronomical image data
Lars Doorenbos, Stefano Cavuoti, Massimo Brescia +2
Among the many challenges posed by the huge data volumes produced by the new generation of astronomical instruments there is also the search for rare and peculiar objects. Unsuperv…
Return of the features. Efficient feature selection and interpretation for photometric redshifts
Antonio D'Isanto, Stefano Cavuoti, Fabian Gieseke +1
The explosion of data in recent years has generated an increasing need for new analysis techniques in order to extract knowledge from massive datasets. Machine learning has proved…
Photometric redshift estimation via deep learning
Antonio D'Isanto, Kai Lars Polsterer
The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application…
Uncertain Photometric Redshifts with Deep Learning Methods
Antonio D'Isanto
The need for accurate photometric redshifts estimation is a topic that has fundamental importance in Astronomy, due to the necessity of efficiently obtaining redshift information w…
Uncertain Photometric Redshifts
Kai Lars Polsterer, Antonio D'Isanto, Fabian Gieseke
Photometric redshifts play an important role as a measure of distance for various cosmological topics. Spectroscopic redshifts are only available for a very limited number of objec…
An analysis of feature relevance in the classification of astronomical transients with machine learning methods
Antonio D'Isanto, Stefano Cavuoti, Massimo Brescia +4
The exploitation of present and future synoptic (multi-band and multi-epoch) surveys requires an extensive use of automatic methods for data processing and data interpretation. In…