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2020 – today
- 2025
[j8]Jordi Martorell-Marugan
, Raúl López-Domínguez, Juan Antonio Villatoro-García, Daniel Toro-Domínguez, Marco Chierici, Giuseppe Jurman, Pedro Carmona-Saez:
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics. Briefings Bioinform. 26(1) (2025)- 2023
- [j7]Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman:
Endoscopy-based IBD identification by a quantized deep learning pipeline. BioData Min. 16(1) (2023) - [j6]Jordi Martorell-Marugan, Marco Chierici, Giuseppe Jurman, Marta E. Alarcón-Riquelme, Pedro Carmona-Saez:
Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. Comput. Biol. Medicine 152: 106373 (2023) - 2022
- [j5]Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman:
Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. BMC Medical Informatics Decis. Mak. 22-S(6): 300 (2022) - 2021
- [c4]Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola:
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData 2021: 3923-3926
2010 – 2019
- 2019
- [j4]Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello:
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS Comput. Biol. 15(3) (2019) - [c3]Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello:
Integrating deep and radiomics features in cancer bioimaging. CIBCB 2019: 1-8 - 2018
- [j3]Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello:
Phylogenetic convolutional neural networks in metagenomics. BMC Bioinform. 19-S(2): 49:1-49:13 (2018) - 2017
- [i2]Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello:
Phylogenetic Convolutional Neural Networks in Metagenomics. CoRR abs/1709.02268 (2017) - [i1]Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello:
A multiobjective deep learning approach for predictive classification in Neuroblastoma. CoRR abs/1711.08198 (2017)
2000 – 2009
- 2009
- [j2]Gianluigi Pillonetto, Giuseppe De Nicolao, Marco Chierici, Claudio Cobelli:
Fast algorithms for nonparametric population modeling of large data sets. Autom. 45(1): 173-179 (2009) - 2008
- [j1]Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello:
Machine learning methods for predictive proteomics. Briefings Bioinform. 9(2): 119-128 (2008) - 2007
- [c2]Giuseppe De Nicolao, Gianluigi Pillonetto, Marco Chierici, Claudio Cobelli:
Efficient Nonparametric Population Modeling for Large Data Sets. ACC 2007: 2921-2926 - 2006
- [c1]Marco Chierici, Gianluigi Pillonetto, Gianna Toffolo, Claudio Cobelli:
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable. EMBC 2006: 5045-5048
Coauthor Index
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