Michele LA ROCCA | Publications

297538Segmenting with big data analytics and Python: A quantitative exploratory analysis of household savings

	2023
	Articolo in rivista
	Segmenting with big data analytics and Python: A quantitative exploratory analysis of household savings TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. Vol. 191. Pag.1-10 ISSN:0040-1625.
	Cuomo, M. T.; Tortora, D.; Colosimo, I.; Ricciardi Celsi, L.; Genovino, C.; Festa, G.; La Rocca, M.
	Digital Object Identifier (DOI): 10.1016/j.techfore.2023.122431 Codice identificativo ISI: WOS:000955286800001 Codice identificativo SCOPUS: 2-s2.0-85149981341
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261427Bootstrapping binary GEV regressions for imbalanced datasets

	2023
	Articolo in rivista
	Bootstrapping binary GEV regressions for imbalanced datasets COMPUTATIONAL STATISTICS. Pag.1-33 ISSN:1613-9658.
	La Rocca, M.; Niglio, Marcella; Restaino, Marialuisa
	Digital Object Identifier (DOI): 10.1007/s00180-023-01330-y Codice identificativo ISI: WOS:000987486700001 Codice identificativo SCOPUS: 2-s2.0-85147375900
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286279An analysis of student’s performance in bachelor’s degree

	2023
	Contributo in Atti di convegno
	An analysis of student’s performance in bachelor’s degree. In: Book of Short papers 11th International Conference IES 2023 Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3) IlViandante Pag.59-64 ISBN:9791280333698
	IES 2023 - Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3) Pescara 30 Agosto-01 Settembre 2023
	LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa
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273438Fractional random weight bootstrap in presence of asymmetric link functions

	2023
	Contributo in Atti di convegno
	Fractional random weight bootstrap in presence of asymmetric link functions. In: Proceedings of the Statistics and Data Science Conference Egea SpA for Pavia University Press Pag.1-6 ISBN:978-88-6952-170-6
	SDS - Statistics and Data Science Pavia 27-28 aprile 2023
	LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa
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330975Comparison of binary regressions with asymmetric link function for imbalanced data

	2023
	Contributo in Atti di convegno
	Comparison of binary regressions with asymmetric link function for imbalanced data. In: Book of Short Papers SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation Pag.1291-1296 ISBN:9788891935618
	SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation Ancona Giugno 2023
	LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa
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297278Neural Networks in Nonlinear Time Series: A Subsampling Model Selection Procedure

	2023
	Contributo in volume (Capitolo o Saggio)
	Neural Networks in Nonlinear Time Series: A Subsampling Model Selection Procedure. In J. Rocha, S. Oliveira, C. M. Viana Time Series Analysis - Recent Advances, New Perspectives and Applications Pag.1-20 IntechOpen. ISBN:978-0-85466-052-0
	La Rocca, M.; Perna, C.
	Digital Object Identifier (DOI): 10.5772/intechopen.1002540
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297258Time Series Clustering Based on Forecast Distributions: An Empirical Analysis on Production Indices for Construction

	2023
	Contributo in volume (Capitolo o Saggio)
	Time Series Clustering Based on Forecast Distributions: An Empirical Analysis on Production Indices for Construction. In Statistical Models and Methods for Data Science, Studies in Classification, Data Analysis, and Knowledge Organization Pag.81-92 Cham, Switzerland Springer. ISBN:978-3-031-30163-6
	LA ROCCA, Michele; Giordano, Francesco; Perna, Cira
	Digital Object Identifier (DOI): 10.1007/978-3-031-30164-3_7 Codice identificativo SCOPUS: 2-s2.0-85172275253
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286778Forecasting Mortality with Autoencoders: An Application to Italian Mortality Data

	2023
	Contributo in volume (Capitolo o Saggio)
	Forecasting Mortality with Autoencoders: An Application to Italian Mortality Data. In A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero Applications of Artificial Intelligence and Neural Systems to Data Science Pag.173-182 Springer Singapore. ISBN:978-981-99-3591-8 ISSN:2190-3018.
	LA ROCCA, Michele; Perna, Cira; Sibillo, Marilena; Vignes, Antonio
	Digital Object Identifier (DOI): 10.1007/978-981-99-3592-5 Codice identificativo SCOPUS: 2-s2.0-85168767817
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279358Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines

	2023
	Contributo in volume (Capitolo o Saggio)
	Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. In L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, E. Pimenidis Engineering Applications of Neural Networks. Communications in Computer and Information Science Pag.532-547 Springer Cham. ISBN:978-3-031-34203-5
	LA ROCCA, Michele; Perna, Cira
	Digital Object Identifier (DOI): 10.1007/978-3-031-34204-2_43 Codice identificativo ISI: WOS:001308331700043 Codice identificativo SCOPUS: 2-s2.0-85163970235
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304424BOOK OF ABSTRACTS AND SHORT PAPERS, 14th Scientific Meeting of the Classiffication and Data Analysis Group

	2023
	Curatela
	Curatore/i di BOOK OF ABSTRACTS AND SHORT PAPERS, 14th Scientific Meeting of the Classiffication and Data Analysis Group. Di Coretto, Pietro; Giordano, Giuseppe; LA ROCCA, Michele; Parrella, Maria Lucia; Rampichini, Carla Pearson Education Resources Pag.1-686 ISBN:9788891935632
	Coretto, Pietro; Giordano, Giuseppe; LA ROCCA, Michele; Parrella, Maria Lucia; Rampichini, Carla
	Versione online
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