Model Checking of Metabolic Networks: Application to Metabolic Diseases. - Mara Sangiovanni (2014)

Combining flux balance analysis and model checking for metabolic network validation and analysis. - Roberto Pagliarini; Mara Sangiovanni; Adriano Peron; Diego di Bernardo (Nat. Comput., 2015)

Multidimensional Scaling for Genomic Data. - Audrone Jakaitiene; Mara Sangiovanni; Mario R. Guarracino; Panos M. Pardalos (Advances in Stochastic and Deterministic Global Optimization, 2016)

Var2GO: a web-based tool for gene variants selection. - Ilaria Granata; Mara Sangiovanni; Francesco Maiorano; Marco Miele; Mario Rosario Guarracino (BMC Bioinform., 2016)

A generalized eigenvalues classifier with embedded feature selection. - Marco Viola; Mara Sangiovanni; Gerardo Toraldo; Mario R. Guarracino (Optim. Lett., 2017)

GENOMA: a multilevel platform for marine biology. - Chiara Colantuono; Marco Miralto; Mara Sangiovanni; Luca Ambrosino; Maria Luisa Chiusano (PeerJ Prepr., 2018)

Data sharing and interoperability from multi-source long term observations: challenges and opportunities in marine biology. - Mara Sangiovanni; Roberta Piredda; Marco Miralto; Michael Tangherlini; Maria Luisa Chiusano (PeerJ Prepr., 2018)

Semi-supervised generalized eigenvalues classification. - Marco Viola; Mara Sangiovanni; Gerardo Toraldo; Mario R. Guarracino (Ann. Oper. Res., 2019)

Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer. - Ilaria Granata; Enrico Troiano; Mara Sangiovanni; Mario Rosario Guarracino (BMC Bioinform., 2019)

From trash to treasure: detecting unexpected contamination in unmapped NGS data. - Mara Sangiovanni; Ilaria Granata; Amarinder Singh Thind; Mario Rosario Guarracino (BMC Bioinform., 2019)

Integrating imaging and omics data: A review. - Laura Antonelli; Mario Rosario Guarracino; Lucia Maddalena 001; Mara Sangiovanni (Biomed. Signal Process. Control., 2019)

Exploring a Transformer Approach for Pigment Signs Segmentation in Fundus Images. - Mara Sangiovanni; Maria Frucci; Daniel Riccio; Luigi Di Perna; Francesca Simonelli; Nadia Brancati (ICIAP Workshops, 2022)

A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer. - Valentina Brancato; Nadia Brancati; Giusy Esposito; Massimo La Rosa; Carlo Cavaliere; Ciro Allarà; Valeria Romeo; Giuseppe De Pietro; Marco Salvatore; Marco Aiello 003; Mara Sangiovanni (Sensors, 2023)

Automated Classification of Test Tubes Based on Uncontrolled Image Analysis. - Riccardo Balia; Silvio Barra; Alessandro Sebastian Podda; Livio Pompianu; Mara Sangiovanni; Gianni Fenu (MetroXRAINE, 2024)

RAZOR: Refining Accuracy by Zeroing Out Redundancies. - Daniel Riccio; Genoveffa Tortora; Mara Sangiovanni (CoRR, 2024)

OrchID: Explainable deep learning for Ophrys orchid biodiversity monitoring. - Mara Sangiovanni; Luigi Libero Lucio Starace; Davide Di Pierro; Salvatore Cozzolino; Elisa Addonizio (Array, 2025)