419 citations · 832 across the 30 of their papers we have counts for
6 papers · 1 filter
A multiobjective deep learning approach for predictive classification in Neuroblastoma
Valerio Maggio, Marco Chierici, Giuseppe Jurman +1
Neuroblastoma is a strongly heterogeneous cancer with very diverse clinical courses that may vary from spontaneous regression to fatal progression; an accurate patient's risk estim…
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Giuseppe Jurman, Valerio Maggio, Diego Fioravanti +7
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept o…
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders
Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo +5
Autism Spectrum Disorders are associated with atypical movements, of which stereotypical motor movements (SMMs) interfere with learning and social interaction. The automatic SMM de…
Phylogenetic Convolutional Neural Networks in Metagenomics
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio +4
Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels…
Towards a scientific blockchain framework for reproducible data analysis
C. Furlanello, M. De Domenico, G. Jurman +1
Publishing reproducible analyses is a long-standing and widespread challenge for the scientific community, funding bodies and publishers. Although a definitive solution is still el…
Towards meaningful physics from generative models
Marco Cristoforetti, Giuseppe Jurman, Andrea I. Nardelli +1
In several physical systems, important properties characterizing the system itself are theoretically related with specific degrees of freedom. Although standard Monte Carlo simulat…