Alessio Petrozziello

18 papers A* 1A 1B 2Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2024 A conf
Scale-Invariant Learning-to-Rank.
RecSys
Alessio Petrozziello, Christian Sommeregger, Ye-Sheen Lim
2024 J jnl
Scale-Invariant Learning-to-Rank.
CoRR
Alessio Petrozziello, Christian Sommeregger, Ye-Sheen Lim
2022 J jnl
Deep learning for volatility forecasting in asset management.
Soft Comput.
Alessio Petrozziello, Luigi Troiano, Angela Serra, Ivan Jordanov, Giuseppe Storti, Roberto Tagliaferri, Michele La Rocca
2022 J jnl
Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates.
IEEE Trans. Software Eng.
Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman
2022 J jnl
Multi-Objective Software Effort Estimation: A Replication Study.
IEEE Trans. Software Eng.
Vali Tawosi, Federica Sarro, Alessio Petrozziello, Mark Harman
2021 J jnl
A scale invariant ranking function for learning-to-rank: a real-world use case.
CoRR
Alessio Petrozziello, Xiaoke Liu, Christian Sommeregger
2020 — conf
A new approach to distribute MOEA pareto front computation.
GECCO Companion
Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo
2019 — conf
Automated Deep Learning for Threat Detection in Luggage from X-Ray Images.
SEA²
Alessio Petrozziello, Ivan Jordanov
2019 J jnl
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.
IEEE Access
Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva
2018 J jnl
Classifiers Accuracy Improvement Based on Missing Data Imputation.
J. Artif. Intell. Soft Comput. Res.
Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello
2018 — conf
Deep Learning for Continuous Electronic Fetal Monitoring in Labor.
EMBC
Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva
2018 B conf
Distributed Neural Networks for Missing Big Data Imputation.
IJCNN
Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger
2018 — conf
Feature Based Multivariate Data Imputation.
LOD
Alessio Petrozziello, Ivan Jordanov
2018 J jnl
Linear Programming as a Baseline for Software Effort Estimation.
ACM Trans. Softw. Eng. Methodol.
Federica Sarro, Alessio Petrozziello
2017 Misc conf
Column-wise Guided Data Imputation.
ICCS
Alessio Petrozziello, Ivan Jordanov
2017 J jnl
Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms.
Appl. Artif. Intell.
Alessio Petrozziello, Guido Cervone, Pasquale Franzese, Sue Ellen Haupt, Raffaele Cerulli
2016 A* conf
Multi-objective software effort estimation.
ICSE
Federica Sarro, Alessio Petrozziello, Mark Harman
2016 B conf
Supervised radar signal classification.
IJCNN
Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello