Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable. - Marco Chierici; Gianluigi Pillonetto; Gianna Toffolo; Claudio Cobelli (EMBC, 2006)

Efficient Nonparametric Population Modeling for Large Data Sets. - Giuseppe De Nicolao; Gianluigi Pillonetto; Marco Chierici; Claudio Cobelli (ACC, 2007)

Machine learning methods for predictive proteomics. - Annalisa Barla; Giuseppe Jurman; Samantha Riccadonna; Stefano Merler; Marco Chierici; Cesare Furlanello (Briefings Bioinform., 2008)

Fast algorithms for nonparametric population modeling of large data sets. - Gianluigi Pillonetto; Giuseppe De Nicolao; Marco Chierici; Claudio Cobelli (Autom., 2009)

A promoter-level mammalian expression atlas. - Fantom Consortium; RIKEN PMII; RIKEN CLST (DGT); Alistair R. R. Forrest; Hideya Kawaji; Michael Rehli; J. Kenneth Baillie; Michiel J. L. de Hoon; Vanja Haberle; Timo Lassmann; Ivan V. Kulakovskiy; Marina Lizio; et al. (Nat., 2014)

A multiobjective deep learning approach for predictive classification in Neuroblastoma. - Valerio Maggio; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (CoRR, 2017)

Phylogenetic convolutional neural networks in metagenomics. - Diego Fioravanti; Ylenia Giarratano; Valerio Maggio; Claudio Agostinelli; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (BMC Bioinform., 2018)

Integrating deep and radiomics features in cancer bioimaging. - Andrea Bizzego; Nicole Bussola; D. Salvalai; Marco Chierici; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (CIBCB, 2019)

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. - Andrea Bizzego; Nicole Bussola; Marco Chierici; Valerio Maggio; Margherita Francescatto; Luca Cima; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello (PLoS Comput. Biol., 2019)

Cyst segmentation on kidney tubules by means of U-Net deep-learning models. - Simone Monaco; Nicole Bussola; Sara Buttò; Diego Sona; Daniele Apiletti; Giuseppe Jurman; Elisa Viola; Marco Chierici; Christodoulos Xinaris; Vincenzo Viola (IEEE BigData, 2021)

Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. - Marco Chierici; Nicolae Puica; Matteo Pozzi; Antonello Capistrano; Marcello Dorian Donzella; Antonio Colangelo; Venet Osmani; Giuseppe Jurman (BMC Medical Informatics Decis. Mak., 2022)

Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. - Jordi Martorell-Marugan; Marco Chierici; Giuseppe Jurman; Marta E. Alarcón-Riquelme; Pedro Carmona-Saez (Comput. Biol. Medicine, 2023)

Endoscopy-based IBD identification by a quantized deep learning pipeline. - Massimiliano Datres; Elisa Paolazzi; Marco Chierici; Matteo Pozzi; Antonio Colangelo; Marcello Dorian Donzella; Giuseppe Jurman (BioData Min., 2023)

Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics. - Jordi Martorell-Marugan; Raúl López-Domínguez; Juan Antonio Villatoro-García; Daniel Toro-Domínguez; Marco Chierici; Giuseppe Jurman; Pedro Carmona-Saez (Briefings Bioinform., 2024)