Maurizio Zazzi

According to our database, Maurizio Zazzi authored at least 18 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

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, August, 2023

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

2022

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

2021

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

2020

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, Finale Doshi-Velez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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, Finale Doshi-Velez

CoRR, 2019

2018

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability.

Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Combining Kernel and Model Based Learning for HIV Therapy Selection.

Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

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

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2014

Structured Proportional Jump Processes.

Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2013

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, Stefan Wesner, Joke Snoeck, Jean Ruelle, Annelies De Bel, Patrick Lacor, Paul De Munter, Eric Van Wijngaerden, Maurizio Zazzi, Rolf Kaiser, Ahidjo Ayouba, Martine Peeters, Tulio de Oliveira, Luiz Carlos Júnior Alcântara, Zehava Grossman, Peter M. A. Sloot, Dan Otelea, Simona Paraschiv, Charles A. Boucher, Ricardo Camacho, Anne-Mieke Vandamme

Bioinform., 2013

2012

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

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

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, Massimo Di Pietro, Maurizio Zazzi, Andrea De Luca, et al.

BMC Medical Informatics Decis. Mak., 2011

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 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, Antonella D'Arminio Monforte, Carlo Torti, Maurizio Zazzi, H. Clifford Lane

Artif. Intell. Medicine, 2009

2008

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, Thomas Lengauer

Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007

Statistical Comparison of Machine Learning Techniques for Treatment Optimisation of Drug-Resistant HIV-1.

Mattia C. F. Prosperi, Giovanni Ulivi, Maurizio Zazzi

Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007