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ORCIDMaurizio Zazzi
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2020 – today
- 2023
[j5]Nicholas I-Hsien Kuo, Federico Garcia
, Anders Sönnerborg, Michael Böhm, Rolf Kaiser, Maurizio Zazzi, Mark N. Polizzotto, Louisa Jorm, Sebastiano Barbieri:
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. J. Biomed. Informatics 144: 104436 (2023)- [i6]Giulia Di Teodoro, Martin Pirkl, Francesca Incardona, Ilaria Vicenti, Anders Sönnerborg, Rolf Kaiser, Laura Palagi, Maurizio Zazzi, Thomas Lengauer:
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. CoRR abs/2311.04846 (2023) - [i5]Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi:
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR abs/2312.17506 (2023) - 2022
- [i4]Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Louisa Jorm, Sebastiano Barbieri:
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. CoRR abs/2203.06369 (2022) - 2021
- [i3]Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez:
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible. CoRR abs/2101.05360 (2021) - 2020
- [c8]Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI 2020: 6413-6421
2010 – 2019
- 2019
- [i2]Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Black Box Models. CoRR abs/1908.04494 (2019) - 2018
- [c7]Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. AAAI 2018: 1670-1678 - 2017
- [c6]Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Combining Kernel and Model Based Learning for HIV Therapy Selection. CRI 2017 - [i1]Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. CoRR abs/1711.06178 (2017) - 2016
- [c5]Mattia Prosperi, Alejandro Pironti, Francesca Incardona, Giuseppe Tradigo, Maurizio Zazzi:
Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data. BCB 2016: 611-615 - 2014
- [c4]Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona:
Structured Proportional Jump Processes. UAI 2014: 172-181 - 2013
- [j4]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:
RegaDB: community-driven data management and analysis for infectious diseases. Bioinform. 29(11): 1477-1480 (2013) - 2012
- [c3]Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer:
History-alignment models for bias-aware prediction of virological response to HIV combination therapy. AISTATS 2012: 118-126 - 2011
- [j3]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.:
A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen. BMC Medical Informatics Decis. Mak. 11: 40 (2011)
2000 – 2009
- 2009
- [j2]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:
A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy. Artif. Intell. Medicine 47(1): 63-74 (2009) - [j1]Mattia C. F. Prosperi, Roberto D'Autilia, Francesca Incardona, Andrea De Luca, Maurizio Zazzi, Giovanni Ulivi:
Stochastic modelling of genotypic drug-resistance for human immunodeficiency virus towards long-term combination therapy optimization. Bioinform. 25(8): 1040-1047 (2009) - 2008
- [c2]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:
Selecting anti-HIV therapies based on a variety of genomic and clinical factors. ISMB 2008: 399-406 - 2007
- [c1]Mattia C. F. Prosperi, Giovanni Ulivi, Maurizio Zazzi:
Statistical Comparison of Machine Learning Techniques for Treatment Optimisation of Drug-Resistant HIV-1. CBMS 2007: 427-432
Coauthor Index
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