Statistical Comparison of Machine Learning Techniques for Treatment Optimisation of Drug-Resistant HIV-1. - Mattia C. F. Prosperi; Giovanni Ulivi; Maurizio Zazzi (CBMS, 2007)

Selecting anti-HIV therapies based on a variety of genomic and clinical factors. - Michal Rosen-Zvi; André Altmann; Mattia Prosperi; Ehud Aharoni; Hani Neuvirth; Anders Sönnerborg; Eugen Schülter; Daniel Struck; Yardena Peres; Francesca Incardona; Rolf Kaiser; Maurizio Zazzi; et al. (ISMB, 2008)

A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy. - Dechao Wang; Brendan Larder; Andrew Revell; Julio Montaner; Richard Harrigan; Frank De Wolf; Joep Lange; Scott Wegner; Lidia Ruiz; María Jésus Pérez-Elías; Sean Emery; Jose Gatell; et al. (Artif. Intell. Medicine, 2009)

Stochastic modelling of genotypic drug-resistance for human immunodeficiency virus towards long-term combination therapy optimization. - Mattia C. F. Prosperi; Roberto D'Autilia; Francesca Incardona; Andrea De Luca; Maurizio Zazzi; Giovanni Ulivi (Bioinform., 2009)

A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen. - Mattia C. F. Prosperi; Simona Di Giambenedetto; Iuri Fanti; Genny Meini; Bianca Bruzzone; Annapaola Callegaro; Giovanni Penco; Patrizia Bagnarelli; Valeria Micheli; Elisabetta Paolini; Antonio Di Biagio; Valeria Ghisetti; et al. (BMC Medical Informatics Decis. Mak., 2011)

History-alignment models for bias-aware prediction of virological response to HIV combination therapy. - Jasmina Bogojeska; Daniel Stöckel; Maurizio Zazzi; Rolf Kaiser; Francesca Incardona; Michal Rosen-Zvi; Thomas Lengauer (AISTATS, 2012)

RegaDB: community-driven data management and analysis for infectious diseases. - Pieter Libin; Gertjan Beheydt; Koen Deforche; Stijn Imbrechts; Fossie Ferreira; Kristel Van Laethem; Kristof Theys; Ana Patricia Carvalho; Joana Cavaco-Silva; Giuseppe Lapadula; Carlo Torti; Matthias Assel; et al. (Bioinform., 2013)

Structured Proportional Jump Processes. - Tal El-Hay; Omer Weissbrod; Elad Eban; Maurizio Zazzi; Francesca Incardona (UAI, 2014)

Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data. - Mattia Prosperi; Alejandro Pironti; Francesca Incardona; Giuseppe Tradigo; Maurizio Zazzi (BCB, 2016)

Combining Kernel and Model Based Learning for HIV Therapy Selection. - Sonali Parbhoo; Jasmina Bogojeska; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (CRI, 2017)

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. - Mike Wu; Michael C. Hughes; Sonali Parbhoo; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (AAAI, 2018)

Regional Tree Regularization for Interpretability in Black Box Models. - Mike Wu; Sonali Parbhoo; Michael C. Hughes; Ryan Kindle; Leo A. Celi; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (CoRR, 2019)

Regional Tree Regularization for Interpretability in Deep Neural Networks. - Mike Wu; Sonali Parbhoo; Michael C. Hughes; Ryan Kindle; Leo A. Celi; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (AAAI, 2020)

Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible. - Melanie F. Pradier; Javier Zazo; Sonali Parbhoo; Roy H. Perlis; Maurizio Zazzi; Finale Doshi-Velez (CoRR, 2021)

The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. - Nicholas I-Hsien Kuo; Mark N. Polizzotto; Simon Finfer; Federico Garcia; Anders Sönnerborg; Maurizio Zazzi; Michael Böhm; Louisa Jorm; Sebastiano Barbieri (CoRR, 2022)

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. - Giulia Di Teodoro; Martin Pirkl; Francesca Incardona; Ilaria Vicenti; Anders Sönnerborg; Rolf Kaiser; Laura Palagi; Maurizio Zazzi; Thomas Lengauer (CoRR, 2023)

Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. - Nicholas I-Hsien Kuo; Federico Garcia; Anders Sönnerborg; Michael Böhm; Rolf Kaiser; Maurizio Zazzi; Mark N. Polizzotto; Louisa Jorm; Sebastiano Barbieri (J. Biomed. Informatics, 2023)

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. - Giulia Di Teodoro; Federico Siciliano; Valerio Guarrasi; Anne-Mieke Vandamme; Valeria Ghisetti; Anders Sönnerborg; Maurizio Zazzi; Fabrizio Silvestri; Laura Palagi (Comput. Medical Imaging Graph., 2025)