| Multi-objective software effort estimation F Sarro, A Petrozziello, M Harman Proceedings of the 38th International Conference on Software Engineering …, 2016 | 188 | 2016 |
| 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 | 72 | 2019 |
| 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 | 66 | 2018 |
| 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 | 53 | 2018 |
| 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 | 51 | 2018 |
| Supervised Radar Signal Classification I Jordanov, N Petrov, A Petrozziello Proceedings on the International Joint Conference on Neural Networks (IJCNN …, 2016 | 39 | 2016 |
| 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 | 32 | 2021 |
| 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 | 21 | 2022 |
| Automated Deep Learning for Threat Detection in Luggage from X-ray Images A Petrozziello, I Jordanov Special Event on Analysis of Experimental Algorithms, 2019 | 21 | 2019 |
| 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 | 19 | 2020 |
| 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 | 10 | 2017 |
| Multi-objective software effort estimation, in 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE) F Sarro, A Petrozziello, M Harman IEEE, 2016 | 8 | 2016 |
| 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 | 7 | 2017 |
| Data Analytics for Online Travelling Recommendation System: A Case Study A Petrozziello, I Jordanov IASTED's 36th International Conference on Modelling, Identification and …, 2017 | 6 | 2017 |
| 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 | 3 | 2020 |
| Feature Based Multivariate Data Imputation A Petrozziello, I Jordanov The 4th Annual Conference on machine Learning, Optimization and Data science …, 2019 | 3 | 2019 |
| 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 |
Federica SarroProfessor, University College London在 ucl.ac.uk 的电子邮件经过验证
