activity
20082022
most citedA unifying view for performance measures in multi-class prediction

419 citations · 832 across the 30 of their papers we have counts for

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Showing q-bio.QMShow all

5 papers · 1 filter

q-bio.QM2019

AI slipping on tiles: data leakage in digital pathology

Nicole Bussola, Alessia Marcolini, Valerio Maggio +2

Reproducibility of AI models on biomedical data still stays as a major concern for their acceptance into the clinical practice. Initiatives for reproducibility in the development o…

q-bio.QM2017★ 1 cited

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…

q-bio.QM2017★ 7 cited

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…

q-bio.QM2017

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…

q-bio.QM2011

Single-base mismatch profiles for NGS samples

Marco Chierici, Giuseppe Jurman, Marco Roncador +1

Within the preprocessing pipeline of a Next Generation Sequencing sample, its set of Single-Base Mismatches is one of the first outcomes, together with the number of correctly alig…