Identifying Regulatory Sites Using Neighborhood Species. - Claudia Angelini; Luisa Cutillo; Italia De Feis; Richard Carl Van der Wath; Pietro Liò (EvoBIO, 2007)

BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments. - Claudia Angelini; Luisa Cutillo; Daniela De Canditiis; Margherita Mutarelli; Marianna Pensky (BMC Bioinform., 2008)

Localized empirical discriminant analysis. - Luisa Cutillo; Umberto Amato (Comput. Stat. Data Anal., 2008)

Networks of Financial Contagion. - Luisa Cutillo; Giuseppe De Marco; Chiara Donnini (Advanced Dynamic Modeling of Economic and Social Systems, 2013)

Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis. - Diego Carrella; Francesco Napolitano; Rossella Rispoli; Mario Miglietta; Annamaria Carissimo; Luisa Cutillo; Francesco Sirci; Francesco Gregoretti; Diego di Bernardo (Bioinform., 2014)

An inferential procedure for community structure validation in networks. - Luisa Cutillo; Mirko Signorelli (CoRR, 2017)

A quantitative comparison of stochastic mortality models on Italian population data. - Maria Francesca Carfora; Luisa Cutillo; Albina Orlando (Comput. Stat. Data Anal., 2017)

Validation of community robustness. - Annamaria Carissimo; Luisa Cutillo; Italia De Feis (Comput. Stat. Data Anal., 2018)

Bootstrap AMG for spectral clustering. - Pasqua D'Ambra; Luisa Cutillo; Panayot S. Vassilevski (Comput. Math. Methods, 2019)

Parametric and Multivariate Methods. - Luisa Cutillo (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

OscoNet: inferring oscillatory gene networks. - Luisa Cutillo; Alexis Boukouvalas; Elli Marinopoulou; Nancy Papalopulu; Magnus Rattray (BMC Bioinform., 2020)

Network Clustering by Embedding of Attribute-augmented Graphs. - Pasqua D'Ambra; Clara De Santis; Panayot S. Vassilevski; Luisa Cutillo (CoRR, 2021)

ROBustness In Network (robin): an R Package for Comparison and Validation of Communities. - Valeria Policastro; Dario Righelli; Annamaria Carissimo; Luisa Cutillo; Italia De Feis (R J., 2021)

Two-way Sparse Network Inference for Count Data. - Sijia Li; Martín López-García; Neil D. Lawrence; Luisa Cutillo (AISTATS, 2022)

Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data. - Sijia Li; Martín López-García; Neil D. Lawrence; Luisa Cutillo (CoRR, 2022)

antGLasso: An Efficient Tensor Graphical Lasso Algorithm. - Bailey Andrew; David R. Westhead; Luisa Cutillo (CoRR, 2022)

On community structure validation in real networks. - Mirko Signorelli; Luisa Cutillo (Comput. Stat., 2022)

A Pipeline to Evaluate the Effects of Noise on Machine Learning Detection of Laryngeal Cancer. - Mary Paterson; James Moor; Luisa Cutillo (INTERSPEECH, 2023)

Detecting Throat Cancer from Speech Signals Using Machine Learning: A Reproducible Literature Review. - Mary Paterson; James Moor; Luisa Cutillo (CoRR, 2023)

Extending bootstrap AMG for clustering of attributed graphs. - Pasqua D'Ambra; Panayot S. Vassilevski; Luisa Cutillo (Appl. Math. Comput., 2023)

GmGM: a fast multi-axis Gaussian graphical model. - Ethan B. Andrew; David R. Westhead; Luisa Cutillo (AISTATS, 2024)

Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Samples and Features. - Bailey Andrew; David R. Westhead; Luisa Cutillo (CoRR, 2024)

A Classification Benchmark for Artificial Intelligence Detection of Laryngeal Cancer from Patient Speech. - Mary Paterson; James Moor; Luisa Cutillo (CoRR, 2024)

Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data. - Bailey Andrew; David R. Westhead; Luisa Cutillo (AAAI, 2025)

The Strong Product Model for Network Inference without Independence Assumptions. - Bailey Andrew; David R. Westhead; Luisa Cutillo (AISTATS, 2025)

Detecting Throat Cancer From Speech Signals Using Machine Learning: A Scoping Literature Review. - Mary Paterson; James Moor; Luisa Cutillo (IEEE Access, 2025)