A. D. Cioppa

发表

Genetic algorithms applied to the aerodynamic design of transonic airfoils

D. Quagliarella, A. D. Cioppa, 1994 .

A Genetic Programming System for Time Series Prediction and Its Application to El Niño Forecast

Ernesto Tarantino, I. De Falco, A. Della Cioppa, 2005 .

The Effectiveness of Mutations: Simulation of Natural Mechanisms

I. D. Falco, E. Tarantino, A. D. Cioppa, 2002 .

Distributed Differential Evolution for the Registration of Satellite and Multimodal Medical Imagery

D. Maisto, I. D. Falco, E. Tarantino, 2009 .

Evolution Strategies and Composed Test

R. D. Balio, A. D. Cioppa, FunctionsI. De Falco, 2007 .

Evolution Strategies and Composed Test Functions

R. D. Balio, A. D. Cioppa, E. TarantinoInstitute, 2007 .

A Parallel Genetic Algorithm forTransonic

E., R. D. Balio, A. D. Cioppa, 1995 .

Optimizing Neural Networksfor Time Series

A. D. Cioppa, A. Iazzetta, P. Falco, 1998 .

Inductive Inference on Noisy Data by Genetic Programming

D. Maisto, I. D. Falco, E. Tarantino, 2006 .

A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives

Angelo Marcelli, Ivanoe De Falco, Umberto Scafuri, 2019, Appl. Soft Comput..

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks

Leonardo Vanneschi, Mauro Castelli, Antonio Della Cioppa, 2020, EvoApplications.

A genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors

Nicola Femia, Antonio Della Cioppa, Mario Migliaro, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, EuroGP.

A Genetic Programming Approach to Solomonoff's Probabilistic Induction

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2006, EuroGP.

Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach

Alessandro Passaro, Ivanoe De Falco, Ernesto Tarantino, 2005, SAC '05.

Genetic Programming Estimates of Kolmogorov Complexity

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 1997, ICGA.

Dynamic selection of classifiers: when few are better than all

Angelo Marcelli, C. De Stefano, A. Della Cioppa, 2008 .

Grouping Character Shapes by Means of Genetic Programming

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2001, IWVF.

Biological invasion-inspired migration in distributed evolutionary algorithms

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2012, Inf. Sci..

A Model Based on Biological Invasions for Island Evolutionary Algorithms

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2011, Artificial Evolution.

Mutation-based genetic algorithm: performance evaluation

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2002, Appl. Soft Comput..

On the Structural Shape Optimization through Variational Methods and Evolutionary Algorithms

Andrea Marino, Fernando Fraternali, Antonio Della Cioppa, 2011 .

Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes

Giuseppe De Pietro, Giuseppe A. Trunfio, Ivanoe De Falco, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution

Giuseppe De Pietro, Ivanoe De Falco, Umberto Scafuri, 2018, HEALTHINF.

An Evolutionary Approach to Digitalized Hand Signs Recognition

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009 .

Automatic Recognition of Hand Gestures with Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2008, EvoWorkshops.

Facing classification problems with Particle Swarm Optimization

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2007, Appl. Soft Comput..

Automatic Classification of Handsegmented Image Parts with Differential Evolution

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2006, EvoWorkshops.

Evaluation of Particle Swarm Optimization Effectiveness in Classification

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2005, WILF.

An innovative perspective on mapping in grids

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009, BADS '09.

A Multiobjective Evolutionary Approach for Multisite Mapping on Grids

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, PPAM.

Where Are the Niches? Dynamic Fitness Sharing

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2007, IEEE Transactions on Evolutionary Computation.

A new mutation operator for evolutionary airfoil design

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 1999, Soft Comput..

Character preclassification based on genetic programming

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2002, Pattern Recognit. Lett..

Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels

Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, 2019, 2019 IEEE Symposium on Computers and Communications (ISCC).

Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009, Artificial Evolution.

Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 1996, PPSN.

An evolutionary approach for automatically extracting intelligible classification rules

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 2005, Knowledge and Information Systems.

Artificial Neural Networks Optimization by means of Evolutionary Algorithms

E. Tarantino, I. De Falco, A. Della Cioppa, 1998 .

Breeder genetic algorithms for airfoil design optimisation

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes

Giuseppe De Pietro, Ivanoe De Falco, Umberto Scafuri, 2019, Future Gener. Comput. Syst..

An Innovative Approach to Genetic Programming - based Clustering

Francesco Fontanella, Ivanoe De Falco, Ernesto Tarantino, 2004, WSC.

Discovering interesting classification rules with genetic programming

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2002, Appl. Soft Comput..

MijnMutation Operator for Aerofoil Design Optimisation

E. Tarantino, A. Iazzetta, I. De Falco, 1998 .

A parallel genetic algorithm for transonic airfoil optimisation

E. Tarantino, I. DeFalcot, R. DelBalio, 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.

An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Exploiting reliability for dynamic selection of classi .ers by means of genetic algorithms

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2002, ICPR.

Exploiting diversity in an asynchronous migration model for distributed differential evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2017, GECCO.

A novel grammar-based genetic programming approach to clustering

Francesco Gagliardi, Ivanoe De Falco, Ernesto Tarantino, 2005, SAC '05.

On the role of population size and niche radius in fitness sharing

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2004, IEEE Transactions on Evolutionary Computation.

Speciation in evolutionary algorithms: adaptive species discovery

Angelo Marcelli, Antonio Della Cioppa, Prisco Napoli, 2011, GECCO '11.

A Distributed Differential Evolution Approach for Mapping in a Grid Environment

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07).

A Distributed Bio-Inspired Method for Multisite Grid Mapping

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2010, Appl. Comput. Intell. Soft Comput..

Using an adaptive invasion-based model for fast range image registration

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2014, GECCO.

Adding Chaos to Differential Evolution for Range Image Registration

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2013, EvoApplications.

Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach

Angelo Marcelli, Antonio Della Cioppa, Rosa Senatore, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization

Giuseppe A. Trunfio, Ivanoe De Falco, Antonio Della Cioppa, 2019, Inf. Sci..

ADAPTATION AND LEARNING FOR PATTERN RECOGNITION: A COMPARISON BETWEEN NEURAL AND EVOLUTIONARY COMPUTATION

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2001 .

Differential Evolution as a viable tool for satellite image registration

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2008, Appl. Soft Comput..

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling

Giuseppe A. Trunfio, Ivanoe De Falco, Antonio Della Cioppa, 2017, GECCO.

An adaptive invasion-based model for distributed Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2014, Inf. Sci..

An asynchronous adaptive multi-population model for distributed differential evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Genetic Programming-based induction of a glucose-dynamics model for telemedicine

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2018, J. Netw. Comput. Appl..

Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues

A Parziale, R Senatore, A Della Cioppa, 2021, Artif. Intell. Medicine.

Evolutionary approaches for pooling classifier ensembles: Performance evaluation

Claudio De Stefano, Angelo Marcelli, Antonio Della Cioppa, 2013, 2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR).

Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem

Angelo Marcelli, Antonio Della Cioppa, Rosa Senatore, 2019, Inf..

An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

Performance of genetic programming to extract the trend in noisy data series

Mario Nicodemi, I. De Falco, A. Della Cioppa, 2006 .

A Kolmogorov Complexity-based Genetic Programming Tool for String Compression

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 2000, GECCO.

Learning to walk - reward relevance within an enhanced neuroevolution approach

A. Della Cioppa, I. Colucci, G. Pellegrino, 2020, GECCO Companion.

Effects of extreme environmental changes on population dynamics

I. D. Falco, E. Tarantino, A. D. Cioppa, 2006 .

A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings

Angelo Marcelli, Antonio Della Cioppa, Rosa Senatore, 2019, ICIAP.

Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution pdf

I. De Falco, A. Della Cioppa, U. Scafuri, 2020, ArXiv.

Identification of ferrite core inductors parameters by evolutionary algorithms

Nicola Femia, Giovanni Spagnuolo, Antonio Della Cioppa, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).