Antonio D'Isanto

DCMDN: Deep Convolutional Mixture Density Network

Kai Lars Polsterer, Antonio D'Isanto, 2017 .

Photometric redshift estimation via deep learning

Kai Lars Polsterer, Antonio D'Isanto, K. Polsterer, 2017, 1706.02467.

Uncertain photometric redshifts via combining deep convolutional and mixture density networks

Kai Lars Polsterer, Antonio D'Isanto, 2017, ESANN.

Uncertain Photometric Redshifts with Deep Learning Methods

Antonio D'Isanto, 2016, Astroinformatics.

Comparison of Outlier Detection Methods on Astronomical Image Data

Stefano Cavuoti, Giuseppe Longo, Massimo Brescia, 2020, Intelligent Astrophysics.

An analysis of feature relevance in the classification of astronomical transients with machine learning methods

Massimo Brescia, Stefano Cavuoti, Ciro Donalek, 2016, 1601.03931.

Return of the features

Fabian Gieseke, Stefano Cavuoti, Kai Lars Polsterer, 2018, Astronomy & Astrophysics.

Uncertain Photometric Redshifts

Fabian Gieseke, Kai Lars Polsterer, Antonio D'Isanto, 2016 .