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ORCIDAlessio Petrozziello
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2020 – today
- 2024
[c9]Alessio Petrozziello
, Christian Sommeregger, Ye-Sheen Lim:
Scale-Invariant Learning-to-Rank. RecSys 2024: 826-828- [i2]Alessio Petrozziello, Christian Sommeregger, Ye-Sheen Lim:
Scale-Invariant Learning-to-Rank. CoRR abs/2410.01959 (2024) - 2022
- [j7]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): 8553-8574 (2022) - [j6]Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman:
Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates. IEEE Trans. Software Eng. 48(6): 1868-1882 (2022) - [j5]Vali Tawosi, Federica Sarro, Alessio Petrozziello, Mark Harman:
Multi-Objective Software Effort Estimation: A Replication Study. IEEE Trans. Software Eng. 48(8): 3185-3205 (2022) - 2021
- [i1]Alessio Petrozziello, Xiaoke Liu, Christian Sommeregger:
A scale invariant ranking function for learning-to-rank: a real-world use case. CoRR abs/2110.11259 (2021) - 2020
- [c8]Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo:
A new approach to distribute MOEA pareto front computation. GECCO Companion 2020: 315-316
2010 – 2019
- 2019
- [j4]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: 112026-112036 (2019) - [c7]Alessio Petrozziello, Ivan Jordanov:
Automated Deep Learning for Threat Detection in Luggage from X-Ray Images. SEA² 2019: 505-512 - 2018
- [j3]Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello:
Classifiers Accuracy Improvement Based on Missing Data Imputation. J. Artif. Intell. Soft Comput. Res. 8(1): 31-48 (2018) - [j2]Federica Sarro, Alessio Petrozziello:
Linear Programming as a Baseline for Software Effort Estimation. ACM Trans. Softw. Eng. Methodol. 27(3): 12:1-12:28 (2018) - [c6]Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva:
Deep Learning for Continuous Electronic Fetal Monitoring in Labor. EMBC 2018: 5866-5869 - [c5]Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger:
Distributed Neural Networks for Missing Big Data Imputation. IJCNN 2018: 1-8 - [c4]Alessio Petrozziello, Ivan Jordanov:
Feature Based Multivariate Data Imputation. LOD 2018: 26-37 - 2017
- [j1]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): 119-133 (2017) - [c3]Alessio Petrozziello, Ivan Jordanov:
Column-wise Guided Data Imputation. ICCS 2017: 2282-2286 - 2016
- [c2]Federica Sarro, Alessio Petrozziello, Mark Harman:
Multi-objective software effort estimation. ICSE 2016: 619-630 - [c1]Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello:
Supervised radar signal classification. IJCNN 2016: 1464-1471
Coauthor Index
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