Faculty profile
Giuliano Antoniol
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Latest papers
Phase II randomized trial comparing metronomic anthracycline-containing chemotherapy versus standard schedule in untreated HER2 negative advanced breast cancer: activity and quality of life results of the GOIM 21003 trial.
Breast (Edinburgh, Scotland) · 2024
Expression of c-MET in Estrogen Receptor Positive and HER2 Negative Resected Breast Cancer Correlated with a Poor Prognosis.
Journal of clinical medicine · 2022
Latest funding
- $309,066
A Comprehensive Framework for the Automatic Evaluation of the Quality of ML-based Software Systems
NSERC · 2020 · Co-investigator
- $2,362,200
DEEL DEpendable & Explainable Learning
NSERC · 2018 · Co-investigator
- $252,000
A framework for rapid software application evolution
NSERC · 2017 · Principal investigator
2 publications.
Phase II randomized trial comparing metronomic anthracycline-containing chemotherapy versus standard schedule in untreated HER2 negative advanced breast cancer: activity and quality of life results of the GOIM 21003 trial.
Orlando L, Maiello E, Orditura M, Diana A, Antoniol G, Morritti MG, Aieta M, Ciccarese M, Pisconti S, Bordonaro R, Russo A, Febbraro A, Schiavone P, Quaranta A, Caliolo C, Loparco D, Cinefra M, Colucci G, Cinieri S, Gruppo Oncologico dell’Italia Meridionale (GOIM)
Expression of c-MET in Estrogen Receptor Positive and HER2 Negative Resected Breast Cancer Correlated with a Poor Prognosis.
Iovino F, Diana A, Carlino F, Ferraraccio F, Antoniol G, Fisone F, Perrone A, Zito Marino F, Panarese I, Tathode MS, Caraglia M, Gatta G, Ruggiero R, Parisi S, De Vita F, Ciardiello F, Docimo L, Orditura M
A Comprehensive Framework for the Automatic Evaluation of the Quality of ML-based Software Systems
Principal investigators: Khomh, Foutse FTSE
Keywords: explainability; fairness; machine learning models; machine learning systems engineering; metrics; model deployment; multi-objective optimization; quality measurement; robustness; software quality assurance
DEEL DEpendable & Explainable Learning
Principal investigators: Gagné, Christian C
Keywords: artificial intelligence; certifiability; explainability; fairness; interpretability; machine learning; privacy by design; robustness; security; software engineering
A framework for rapid software application evolution
Principal investigators: Antoniol, Giuliano
A framework to assess Android mobile applications energy consumption and privacy policies.
Principal investigators: Antoniol, Giuliano
Textual information driven software quality improvement
Principal investigators: Antoniol, Giuliano
Software change and evolution
Principal investigators: Antoniol, Giuliano
Software change and evolution
Principal investigators: Antoniol, Giuliano
Keywords: CRC
Supporting micro-architecture and feature evolution
Principal investigators: Antoniol, Giuliano
Software Change and Evolution
Principal investigators: Antoniol, Giuliano
Keywords: CRC
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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