Michele La Rocca

22 papers B 1C 2Misc 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Automatic Long-Term Forecasting of Mortality Rates with Generalized Regression Neural Networks.
EANN (2)
Giovanna Apicella, Michele La Rocca, Cira Perna, Marilena Sibillo
2024 J jnl
Bootstrapping binary GEV regressions for imbalanced datasets.
Comput. Stat.
Michele La Rocca, Marcella Niglio, Marialuisa Restaino
2024 J jnl
Correction to: Bootstrapping binary GEV regressions for imbalanced datasets.
Comput. Stat.
Michele La Rocca, Marcella Niglio, Marialuisa Restaino
2024 J jnl
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization.
Data Min. Knowl. Discov.
Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca
2024 J jnl
Effective signal reconstruction from multiple ranked lists via convex optimization.
Data Min. Knowl. Discov.
Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca
2024 C conf
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility.
EANN
Michele La Rocca, Cira Perna
2023 C conf
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines.
EANN
Michele La Rocca, Cira Perna
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
Technological Strategies and Quality of Invention: The Role of Knowledge Base and Technical Applications.
IEEE Trans. Engineering Management
Antonello Cammarano, Francesca Michelino, Maria Prosperina Vitale, Michele La Rocca, Mauro Caputo
2021 J jnl
Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets.
Comput. Stat.
Maria Lucia Parrella, Giuseppina Albano, Cira Perna, Michele La Rocca
2021 J jnl
Clustering nonlinear time series with neural network bootstrap forecast distributions.
Int. J. Approx. Reason.
Michele La Rocca, Francesco Giordano, Cira Perna
2019 — conf
Volatility Modelling for Air Pollution Time Series.
EUROCAST (1)
Giuseppina Albano, Michele La Rocca, Cira Perna
2017 J jnl
Clustering complex time-series databases by using periodic components.
Stat. Anal. Data Min.
Francesco Giordano, Michele La Rocca, Maria Lucia Parrella
2017 — conf
On the Imputation of Missing Values in Univariate PM_10 P M 10 Time Series.
EUROCAST (2)
Giuseppina Albano, Michele La Rocca, Cira Perna
2016 — ch.
Non Linear Time Series Analysis of Air Pollutants with Missing Data.
Advances in Neural Networks
Giuseppina Albano, Michele La Rocca, Cira Perna
2012 — conf
Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange.
WIRN
Giuseppina Albano, Michele La Rocca, Cira Perna
2008 B conf
A multiple testing procedure for input variable selection in neural networks.
ESANN
Michele La Rocca, Cira Perna
2008 — conf
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence.
WIRN
Francesco Giordano, Michele La Rocca, Cira Perna
2007 J jnl
Forecasting nonlinear time series with neural network sieve bootstrap.
Comput. Stat. Data Anal.
Francesco Giordano, Michele La Rocca, Cira Perna
2005 Misc conf
Neural Network Modeling by Subsampling.
IWANN
Michele La Rocca, Cira Perna
2005 J jnl
Variable selection in neural network regression models with dependent data: a subsampling approach.
Comput. Stat. Data Anal.
Michele La Rocca, Cira Perna
2001 — conf
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach.
WIRN
Francesco Giordano, Michele La Rocca, Cira Perna