Alessio Petrozziello

Orcid: 0000-0003-3889-7805

According to our database1, Alessio Petrozziello authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Scale-Invariant Learning-to-Rank.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2022
Multi-Objective Software Effort Estimation: A Replication Study.
IEEE Trans. Software Eng., 2022

Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates.
IEEE Trans. Software Eng., 2022

Deep learning for volatility forecasting in asset management.
Soft Comput., 2022

2021
A scale invariant ranking function for learning-to-rank: a real-world use case.
CoRR, 2021

2020
A new approach to distribute MOEA pareto front computation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.
IEEE Access, 2019

Automated Deep Learning for Threat Detection in Luggage from X-Ray Images.
Proceedings of the Analysis of Experimental Algorithms - Special Event, 2019

2018
Linear Programming as a Baseline for Software Effort Estimation.
ACM Trans. Softw. Eng. Methodol., 2018

Classifiers Accuracy Improvement Based on Missing Data Imputation.
J. Artif. Intell. Soft Comput. Res., 2018

Feature Based Multivariate Data Imputation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Distributed Neural Networks for Missing Big Data Imputation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Continuous Electronic Fetal Monitoring in Labor.
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.
Appl. Artif. Intell., 2017

Column-wise Guided Data Imputation.
Proceedings of the International Conference on Computational Science, 2017

2016
Supervised radar signal classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multi-objective software effort estimation.
Proceedings of the 38th International Conference on Software Engineering, 2016


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