Michele La Rocca

发表

A Two-Step Procedure for Neural Network Modeling

Michele La Rocca, Cira Perna, 2012 .

Standard error estimation in neural network regression models: the moving block bootstrap approach

Francesco Giordano, Michele La Rocca, Cira Perna, 2001 .

A multispeed Discrete Boltzmann Model for transcritical 2D shallow water flows

Sauro Succi, Michele La Rocca, Pietro Prestininzi, 2015, J. Comput. Phys..

Nonparametric estimation of volatility functions: Some experimental evidences

Francesco Giordano, Michele La Rocca, Cira Perna, 2012 .

Neural networks with dependent data

Michele La Rocca, Cira Perna, 2002 .

Non parametric inference in diﬀusion processes: bootstrap performance in short time series

Michele La Rocca, Cira Perna, Giuseppina Albano, 2017 .

Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence

Francesco Giordano, Michele La Rocca, Cira Perna, 2009, WIRN.

Bootstrap prediction intervals with neural networks in nonlinear time series

Francesco Giordano, Michele La Rocca, Cira Perna, 2003 .

ON THE ANALYSIS OF SLOSHING OF WATER IN RECTANGULAR CONTAINERS: NUMERICAL STUDY AND EXPERIMENTAL VALIDATION

Michele La Rocca, Vincenzo Armenio, V. Armenio, 1996 .

Laboratory experiments on gravity currents moving on smooth and rough beds

Michele La Rocca, Claudia Adduce, Valentina Lombardi, 2010 .

Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange

Michele La Rocca, Cira Perna, Giuseppina Albano, 2012, WIRN.

A gas-kinetic model for 2D transcritical shallow water flows propagating over dry bed

Michele La Rocca, Pietro Prestininzi, Andrea Montessori, 2014, Comput. Math. Appl..

Bootstrap Variables Selection in Neural Network Regression Models

Francesco Giordano, Michele La Rocca, Cira Perna, 2004 .

Weak Form Efficiency of Selected European Stock Markets: Alternative Testing Approaches

Michele La Rocca, Cira Perna, Giuseppina Albano, 2014 .

Curved boundaries in multi-layer Shallow Water Lattice Boltzmann Methods: bounce back versus immersed boundary

Michele La Rocca, Pietro Prestininzi, Valentina Lombardi, 2016, J. Comput. Sci..

Subsampling Model Selection in Neural Networks for Nonlinear Time Series Analysis

Michele La Rocca, M. Rocca, 2004 .

Value-at-Risk Inference with NN-Sieve Bootstrap

Francesco Giordano, Michele La Rocca, Cira Perna, 2011 .

A multiple testing procedure for neural network model selection

Michele La Rocca, Cira Perna, 2006 .

On the Roll Motion of a Ship With Partially Filled Unbaffled And Baffled Tanks - Part 1: Mathematical Model And Experimental Setup

Michele La Rocca, Alberto Francescutto, Vincenzo Armenia, 1996 .

Variable selection in neural network regression models with dependent data: a subsampling approach

Michele La Rocca, Cira Perna, 2005, Comput. Stat. Data Anal..

Neural Network Modelling with Applications to Euro Exchange Rates

Michele La Rocca, Cira Perna, M. Rocca, 2008 .

On the Roll Motion of a Ship With Partially Filled Unbaffled And Baffled Tanks: Numerical And Experimental Investigation

Michele La Rocca, Alberto Francescutto, Vincenzo Armenio, 1996 .

Robust subsampling inference for style analysis coefficients

Michele La Rocca, Domenico Vistocco, 2009 .

Neural Network Models for Financial data

Michele La Rocca, Cira Perna, Giuseppina Albano, 2012 .

Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors

Francesco Giordano, Michele La Rocca, Cira Perna, 2009 .

On the roll motion of a ship with partially unbaffled and baffled tanks. Part II: numerical and experimental analysis

Michele La Rocca, Alberto Francescutto, Vincenzo Armenio, 1996 .

Experimental and theoretical modelling of 3D gravity currents

Michele La Rocca, Allen Bateman, M. Rocca, 2010 .

Clustering Complex Time Series Databases

Francesco Giordano, Maria Lucia Parrella, Michele La Rocca, 2011 .

Volatility Modelling for Air Pollution Time Series

Michele La Rocca, Cira Perna, Giuseppina Albano, 2019, EUROCAST.

A discrete Boltzmann equation model for two-phase shallow granular flows

Michele La Rocca, Pietro Prestininzi, Andrea Montessori, 2018, Comput. Math. Appl..

Test procedure to select the input variables in neural networks for dependent data

Michele La Rocca, Cira Perna, 2002 .

Periodical feature based time series clustering

Francesco Giordano, Maria Lucia Parrella, Michele La Rocca, 2015 .

Statistical Analysis and Software

Michele La Rocca, M. Rocca, 2016 .

Forecasting nonlinear time series with neural network sieve bootstrap

Francesco Giordano, Michele La Rocca, Cira Perna, 2007, Comput. Stat. Data Anal..

On the Roll Motion of a Ship With Partially Filled Unbaffled And Baffled Tanks - Part 2: Numerical And Experimental Analysis

Michele La Rocca, Alberto Francescutto, Vincenzo Armenio, 1996 .

A resampling procedure for the estimation of network parameters

D. De Stefano, Michele La Rocca, 2009 .

Modelling Complex Structures by Artificial Neural Networks

Michele La Rocca, Cira Perna, M. Rocca, 2006 .

Bootstrap inference for missing data reconstruction

Maria Lucia Parrella, Michele La Rocca, Cira Perna, 2019 .

Non Linear Time Series Analysis of Air Pollutants with Missing Data

Michele La Rocca, Cira Perna, Giuseppina Albano, 2016, Advances in Neural Networks.

A multiple testing procedure for input variable selection in neural networks

Michele La Rocca, Cira Perna, 2008, ESANN.

Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach

Francesco Giordano, Michele La Rocca, Cira Perna, 2001, WIRN.

Neural network architecture selection for nonlinear time series

Michele La Rocca, Cira Perna, 2009 .

Clustering complex time-series databases by using periodic components

Francesco Giordano, Maria Lucia Parrella, Michele La Rocca, 2017, Stat. Anal. Data Min..

Neural Network Modeling by Subsampling

Michele La Rocca, Cira Perna, 2005, IWANN.

Clustering nonlinear time series with neural network bootstrap forecast distributions

Francesco Giordano, Michele La Rocca, Cira Perna, 2021, Int. J. Approx. Reason..

A new dynamic masking technique for time resolved PIV analysis

Michele La Rocca, Pietro Prestininzi, Valentina Lombardi, 2021, J. Vis..

Development of a lattice Boltzmann method for two‐layered shallow‐water flow

Michele La Rocca, Reinhard Hinkelmann, Giampiero Sciortino, 2012 .

Comparative study on the accuracy and efficiency of a Finite Volume-Lattice Boltzmann Equation and a Lattice Boltzmann Model formulation of Multilayer Shallow Water flows in complex domains

Michele La Rocca, Pietro Prestininzi, Reinhard Hinkelmann, 2014 .

On the effect of the intrinsic viscosity in a two-layer shallow water lattice Boltzmann model of axisymmetric density currents

Michele La Rocca, Pietro Prestininzi, Giampiero Sciortino, 2013 .

Reassessing the single relaxation time Lattice Boltzmann method for the simulation of Darcy’s flows

Sauro Succi, Michele La Rocca, Pietro Prestininzi, 2016 .

Input Variable Selection in Neural Network Models

Francesco Giordano, Michele La Rocca, Cira Perna, 2014 .

Experimental and numerical simulation of three dimensional gravity currents on smooth and rough bottom

Michele La Rocca, Allen Bateman Pinzón, Giampiero Sciortino, 2008 .

Numerical simulation of a two layered water flow by means of the Lattice Boltzmann Method

Michele La Rocca, Claudia Adduce, R. Hinkermann, 2012 .

Comparative Study of a Boltzmann-based Finite Volume and a Lattice Boltzmann Model for Shallow Water Flows in Complex Domains

Michele La Rocca, Pietro Prestininzi, 2014 .

Numerical simulation of 3D submarine turbidity currents

Michele La Rocca, Giampiero Sciortino, Paolo Mele, 2009 .

Local scouring due to turbulent water jets downstream of a trapezoidal drop: Laboratory experiments and stability analysis

Michele La Rocca, Claudia Adduce, C. Adduce, 2006 .

Regularized lattice BGK versus highly accurate spectral methods for cavity flow simulations

Sauro Succi, Michele La Rocca, Giacomo Falcucci, 2014 .