Alessio Petrozziello

According to our database, Alessio Petrozziello authored at least 16 papers between 2016 and 2022.

Collaborative distances:

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

2022

Multi-Objective Software Effort Estimation: A Replication Study.

Vali Tawosi, Federica Sarro, Alessio Petrozziello, Mark Harman

IEEE Trans. Software Eng., 2022

Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates.

Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman

IEEE Trans. Software Eng., 2022

Deep learning for volatility forecasting in asset management.

Alessio Petrozziello, Luigi Troiano, Angela Serra, Ivan Jordanov, Giuseppe Storti, Roberto Tagliaferri, Michele La Rocca

Soft Comput., 2022

2021

A scale invariant ranking function for learning-to-rank: a real-world use case.

Alessio Petrozziello, Xiaoke Liu, Christian Sommeregger

CoRR, 2021

2020

A new approach to distribute MOEA pareto front computation.

Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.

Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva

IEEE Access, 2019

Automated Deep Learning for Threat Detection in Luggage from X-Ray Images.

Alessio Petrozziello, Ivan Jordanov

Proceedings of the Analysis of Experimental Algorithms - Special Event, 2019

2018

Linear Programming as a Baseline for Software Effort Estimation.

Federica Sarro, Alessio Petrozziello

ACM Trans. Softw. Eng. Methodol., 2018

Classifiers Accuracy Improvement Based on Missing Data Imputation.

Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello

J. Artif. Intell. Soft Comput. Res., 2018

Feature Based Multivariate Data Imputation.

Alessio Petrozziello, Ivan Jordanov

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Distributed Neural Networks for Missing Big Data Imputation.

Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Continuous Electronic Fetal Monitoring in Labor.

Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms.

Alessio Petrozziello, Guido Cervone, Pasquale Franzese, Sue Ellen Haupt, Raffaele Cerulli

Appl. Artif. Intell., 2017

Column-wise Guided Data Imputation.

Alessio Petrozziello, Ivan Jordanov

Proceedings of the International Conference on Computational Science, 2017

2016

Supervised radar signal classification.

Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multi-objective software effort estimation.

Federica Sarro, Alessio Petrozziello, Mark Harman

Proceedings of the 38th International Conference on Software Engineering, 2016