Bose-Einstein condensation in satisfiability problems. - Claudio Angione; Annalisa Occhipinti; Giovanni Stracquadanio; Giuseppe Nicosia (Eur. J. Oper. Res., 2013)

Applications of Network-based Survival Analysis Methods for Pathways Detection in Cancer. - Antonella Iuliano; Annalisa Occhipinti; Claudia Angelini; Italia De Feis; Pietro Liò (CIBB, 2014)

Satisfiability by Maxwell-Boltzmann and Bose-Einstein Statistical Distributions. - Claudio Angione; Annalisa Occhipinti; Giuseppe Nicosia (ACM J. Exp. Algorithmics, 2014)

Modelling Circulating Tumour Cells for Personalised Survival Prediction in Metastatic Breast Cancer. - Gianluca Ascolani; Annalisa Occhipinti; Pietro Liò (PLoS Comput. Biol., 2015)

Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer Metabolism. - Annalisa Occhipinti; Youssef Hamadi; Hillel Kugler; Christoph M. Wintersteiger; Boyan Yordanov; Claudio Angione (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A pipeline and comparative study of 12 machine learning models for text classification. - Annalisa Occhipinti; Louis Rogers; Claudio Angione (Expert Syst. Appl., 2022)

Enhancing building sustainability: A comprehensive review and methodological roadmap for retrofit strategies. - Elena Imani; Huda Dawood; Nashwan Dawood; Annalisa Occhipinti (J. Inf. Technol. Constr., 2024)

From bulk to single-cell and spatial data: An AI framework to characterise breast cancer metabolic dysregulations across modalities. - Le Minh Thao Doan; Suraj Verma; Noushin Eftekhari; Claudio Angione; Annalisa Occhipinti (Comput. Biol. Medicine, 2025)

Enhancing deep learning for demand forecasting to address large data gaps. - Chirine Riachy; Mengda He; Sina Joneidy; Shengchao Qin; Tim Payne; Graeme Boulton; Annalisa Occhipinti; Claudio Angione (Expert Syst. Appl., 2025)