Alessio Petrozziello

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 16

Top Topics

Linear Programming

Missing Data Imputation

Data Imputation

Top Venues

IEEE Trans. Software Eng.

ACM Trans. Softw. Eng. Methodol.

Publications

Vali Tawosi, Federica Sarro, Alessio Petrozziello, Mark Harman
Multi-Objective Software Effort Estimation: A Replication Study. IEEE Trans. Software Eng. 48 (8) (2022)
Alessio Petrozziello, Luigi Troiano, Angela Serra, Ivan Jordanov, Giuseppe Storti, Roberto Tagliaferri, Michele La Rocca
Deep learning for volatility forecasting in asset management. Soft Comput. 26 (17) (2022)
Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman
Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates. IEEE Trans. Software Eng. 48 (6) (2022)
Alessio Petrozziello, Xiaoke Liu, Christian Sommeregger
A scale invariant ranking function for learning-to-rank: a real-world use case. CoRR (2021)
Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo
A new approach to distribute MOEA pareto front computation. GECCO Companion (2020)
Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery. IEEE Access 7 (2019)
Alessio Petrozziello, Ivan Jordanov
Automated Deep Learning for Threat Detection in Luggage from X-Ray Images. SEA² (2019)
Federica Sarro, Alessio Petrozziello
Linear Programming as a Baseline for Software Effort Estimation. ACM Trans. Softw. Eng. Methodol. 27 (3) (2018)
Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello
Classifiers Accuracy Improvement Based on Missing Data Imputation. J. Artif. Intell. Soft Comput. Res. 8 (1) (2018)
Alessio Petrozziello, Ivan Jordanov
Feature Based Multivariate Data Imputation. LOD (2018)
Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva
Deep Learning for Continuous Electronic Fetal Monitoring in Labor. EMBC (2018)
Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger
Distributed Neural Networks for Missing Big Data Imputation. IJCNN (2018)
Alessio Petrozziello, Ivan Jordanov
Column-wise Guided Data Imputation. ICCS (2017)
Alessio Petrozziello, Guido Cervone, Pasquale Franzese, Sue Ellen Haupt, Raffaele Cerulli
Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms. Appl. Artif. Intell. 31 (2) (2017)
Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello
Supervised radar signal classification. IJCNN (2016)
Federica Sarro, Alessio Petrozziello, Mark Harman
Multi-objective software effort estimation. ICSE (2016)