1 citations · 2 across the 4 of their papers we have counts for
7 papers
Score-oriented loss (SOL) functions
Francesco Marchetti, Sabrina Guastavino, Michele Piana +1
Loss functions engineering and the assessment of forecasting performances are two crucial and intertwined aspects of supervised machine learning. This paper focuses on binary class…
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma
Daniela Schenonea, Rita Lai, Michele Cea +13
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM is at the core of the present paper,…
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: a 3D analysis of SPECT/CT images
Francesco Fiz, Helmut Dittmann, Cristina Campi +7
To meet the current need for skeletal tumor-load estimation in prostate cancer (mCRPC), we developed a novel approach, based on adaptive bone segmentation. In this study, we compar…
Feature ranking of active region source properties in solar flare forecasting and the uncompromised stochasticity of flare occurrence
Cristina Campi, Federico Benvenuto, Anna Maria Massone +3
Solar flares originate from magnetically active regions but not all solar active regions give rise to a flare. Therefore, the challenge of solar flare prediction benefits by an int…
Geometry of the Hough transforms with applications to synthetic data
Mauro C. Beltrametti, Cristina Campi, Anna Maria Massone +1
In the framework of the Hough transform technique to detect curves in images, we provide a bound for the number of Hough transforms to be considered for a successful optimization o…
Flare forecasting and feature ranking using SDO/HMI data
Michele Piana, Cristina Campi, Federico Benvenuto +2
We describe here the application of a machine learning method for flare forecasting using vectors of properties extracted from images provided by the Helioseismic and Magnetic Imag…