Michele LA ROCCA | Publications
Michele LA ROCCA Publications
| 2024 | |
| Articolo in rivista | |
| Effective signal reconstruction from multiple ranked lists via convex optimization DATA MINING AND KNOWLEDGE DISCOVERY. Pag.1-45 ISSN:1573-756X. | |
| Schimek, M. G.; Vitale, L.; Pfeifer, B.; La Rocca, M. | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/s10618-023-00991-z Codice identificativo ISI: WOS:001132644200001 Codice identificativo SCOPUS: 2-s2.0-85181198457 | |
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| 2024 | |
| Articolo in rivista | |
| Fintech: finance, technologies, and the society DIGITAL FINANCE. Vol. 6. Pag.1-2 ISSN:2524-6984. | |
| La Rocca, Michele | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/s42521-024-00111-6 | |
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| 2024 | |
| Contributo in Atti di convegno | |
| Link selection in binary regression models with the Model Confidence Set. In: New perspectives on Statistics and Data Science - Proceedings of the Statistics and Data Science 2024 Conference Palermo: Università degli Studi di Palermo Pag.15-22 ISBN:978-88-5509-645-4 | |
| Statistics and Data Science 2024 Conference Palermo Aprile 2024 | |
| LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
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| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Variable Selection and Asymmetric Links to Predict Credit Card Fraud. In Mathematical and Statistical Methods for Actuarial Sciences and Finance Pag.198-204 Springer. ISBN:9783031642722 | |
| Giordano, Francesco; LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-64273-9_33 | |
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| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Evaluating Forecast Distributions in Neural Network Lee-Carter Type Model for Mortality Rate. In Autori Vari Mathematical and Statistical Methods for Actuarial Sciences and Finance218 Pag.218-223 Springer. ISBN:978-3-031-64272-2 | |
| La Rocca, M.; Perna, C.; Sibillo, M. | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-64273-9 | |
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341678Asymmetric Binary Regression Models for Imbalanced Datasets: An Application to Students’ Churn
| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Asymmetric Binary Regression Models for Imbalanced Datasets: An Application to Students’ Churn. In Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm, Hans A. Kestler Recent Trends and Future Challenges in Learning from Data. ECDA 2022. Studies in Classification, Data Analysis, and Knowledge Organization Pag.63-74 Springer. ISBN:978-3-031-54468-2; 978-3-031-54467-5 | |
| LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-54468-2_6 | |
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334579Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility
| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility. In L. Iliadis · I. Maglogiannis ·A. Papaleonidas · E. Pimenidis · C. Jayne Engineering Applications of Neural Networks. Communications in Computer and Information Science Pag.504-517 Springer Nature Switzerland. ISBN:978-3-031-62494-0 | |
| Perna, Cira; LA ROCCA, Michele | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-62495-7_38 | |
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