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Alessio Petrozziello
Alessio Petrozziello
Senior Manager of Data & Machine Learning Science @ Expedia Group & Senior Honorary Research Fellow
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Multi-objective software effort estimation
F Sarro, A Petrozziello, M Harman
Proceedings of the 38th International Conference on Software Engineering …, 2016
1852016
Multimodal convolutional neural networks to detect fetal compromise during labor and delivery
A Petrozziello, CWG Redman, AT Papageorghiou, I Jordanov, ...
IEEE Access 7, 112026-112036, 2019
682019
Linear programming as a baseline for software effort estimation
F Sarro, A Petrozziello
ACM transactions on software engineering and methodology (TOSEM) 27 (3), 1-28, 2018
642018
Classifiers accuracy improvement based on missing data imputation
I Jordanov, N Petrov, A Petrozziello
Journal of Artificial Intelligence and Soft Computing Research 8 (1), 31-48, 2018
512018
Deep Learning for Continuous Electronic Fetal Monitoring in Labor
A Petrozziello, I Jordanov, AT Papageorghiou, CWG Redman, ...
IEEE 40th International Engineering in Medicine and Biology Conference, 2018
502018
Supervised Radar Signal Classification
I Jordanov, N Petrov, A Petrozziello
Proceedings on the International Joint Conference on Neural Networks (IJCNN …, 2016
382016
Multi-objective software effort estimation: A replication study
V Tawosi, F Sarro, A Petrozziello, M Harman
IEEE Transactions on Software Engineering 48 (8), 3185-3205, 2021
302021
Deep learning for volatility forecasting in asset management
A Petrozziello, L Troiano, A Serra, I Jordanov, G Storti, R Tagliaferri, ...
Soft Computing 26 (17), 8553-8574, 2022
212022
Automated Deep Learning for Threat Detection in Luggage from X-ray Images
A Petrozziello, I Jordanov
Special Event on Analysis of Experimental Algorithms, 2019
202019
Learning from mistakes: Machine learning enhanced human expert effort estimates
F Sarro, R Moussa, A Petrozziello, M Harman
IEEE Transactions on Software Engineering 48 (6), 1868-1882, 2020
192020
Distributed Neural Networks for Missing Big Data Imputation
A Petrozziello, C Sommeregger, I Jordanov
IEEE International Joint Conference on Neural Networks, 2018
18*2018
Column-wise Guided Data Imputation
A Petrozziello, I Jordanov
International Conference on Computational Science, 2017
102017
Source reconstruction of atmospheric releases with limited meteorological observations using genetic algorithms
A Petrozziello, G Cervone, P Franzese, SE Haupt, R Cerulli
Applied Artificial Intelligence 31 (2), 119-133, 2017
72017
Multi-objective software effort estimation, in 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)
F Sarro, A Petrozziello, M Harman
IEEE, 2016
72016
Data Analytics for Online Travelling Recommendation System: A Case Study
A Petrozziello, I Jordanov
IASTED's 36th International Conference on Modelling, Identification and …, 2017
62017
A new approach to distribute moea pareto front computation
F Sarro, A Petrozziello, DQ He, S Yoo
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
32020
Feature Based Multivariate Data Imputation
A Petrozziello, I Jordanov
The 4th Annual Conference on machine Learning, Optimization and Data science …, 2019
32019
A scale invariant ranking function for learning-to-rank: a real-world use case
A Petrozziello, X Liu, C Sommeregger
arXiv preprint arXiv:2110.11259, 2021
2021
Supervised Machine Learning Methods for Complex Data
A Petrozziello
University Of Portsmouth, 2020
2020
Check for updates Feature Based Multivariate Data Imputation
A Petrozziello, I Jordanov
Machine Learning, Optimization, and Data Science: 4th International …, 2019
2019
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