Breeder Genetic Algorithms for Airfoil Design Optimisation. - Ivan De Falco; Renato Del Balio; Antonio Della Cioppa; Ernesto Tarantino (International Conference on Evolutionary Computation, 1996)

Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design. - Ivan De Falco; Antonio Della Cioppa; Renato Del Balio; Ernesto Tarantino (PPSN, 1996)

Genetic Programming Estimates of Kolmogorov Complexity. - Ivan De Falco; M. Conte; Antonio Della Cioppa; Ernesto Tarantino; Giuseppe Trautteur (ICGA, 1997)

Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (Document Recognition and Retrieval, 1999)

Towards a Simulation of Natural Mutation. - Ivan De Falco; Aniello Iazzetta; Ernesto Tarantino; Antonio Della Cioppa; A. Iacuelli (GECCO, 1999)

Handwritten Numeral Recognition by means of Evolutionary Algorithms. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICDAR, 1999)

A New Evolutionary Learning Model for Handwritten Character Prototyping. - Luigi P. Cordella; Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICIAP, 1999)

A new mutation operator for evolutionary airfoil design. - Ivan De Falco; Antonio Della Cioppa; Aniello Iazzetta; Ernesto Tarantino (Soft Comput., 1999)

An evolutionary system for automatic explicit rule extraction. - Ivanoe De Falco; Aniello Iazzetta; Ernesto Tarantino; Antonio Della Cioppa (CEC, 2000)

A Kolmogorov Complexity-based Genetic Programming Tool for String Compression. - Ivan De Falco; Aniello Iazzetta; Ernesto Tarantino; Antonio Della Cioppa; Giuseppe Trautteur (GECCO, 2000)

An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICDAR, 2001)

Grouping Character Shapes by Means of Genetic Programming. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli; F. Matarazzo (IWVF, 2001)

Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach. - Ivanoe De Falco; Ernesto Tarantino; Antonio Della Cioppa (IEEE Congress on Evolutionary Computation, 2002)

An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICPR (2), 2002)

Discovering interesting classification rules with genetic programming. - Ivan De Falco; Antonio Della Cioppa; Ernesto Tarantino (Appl. Soft Comput., 2002)

Mutation-based genetic algorithm: performance evaluation. - Ivan De Falco; Antonio Della Cioppa; Ernesto Tarantino (Appl. Soft Comput., 2002)

Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (Pattern Recognit., 2002)

Character preclassification based on genetic programming. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (Pattern Recognit. Lett., 2002)

Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICDAR, 2003)

An Innovative Approach to Genetic Programming - based Clustering. - Ivanoe De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Fontanella (WSC, 2004)

A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics. - Ivanoe De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Gagliardi 001 (WSC, 2004)

On the role of population size and niche radius in fitness sharing. - Antonio Della Cioppa; Claudio De Stefano; Angelo Marcelli (IEEE Trans. Evol. Comput., 2004)

A new variable-length genome genetic algorithm for data clustering in semeiotics. - Ivan De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Gagliardi 001 (SAC, 2005)

A novel grammar-based genetic programming approach to clustering. - Ivan De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Gagliardi 001 (SAC, 2005)

Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach. - Ivan De Falco; Ernesto Tarantino; Antonio Della Cioppa; Alessandro Passaro (SAC, 2005)

Genetic Programming for Inductive Inference of Chaotic Series. - Ivan De Falco; Antonio Della Cioppa; Alessandro Passaro; Ernesto Tarantino (WILF, 2005)

Evaluation of Particle Swarm Optimization Effectiveness in Classification. - Ivan De Falco; Antonio Della Cioppa; Ernesto Tarantino (WILF, 2005)

An evolutionary approach for automatically extracting intelligible classification rules. - Ivan De Falco; Antonio Della Cioppa; Aniello Iazzetta; Ernesto Tarantino (Knowl. Inf. Syst., 2005)

An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (IEEE Congress on Evolutionary Computation, 2006)

A Genetic Programming Approach to Solomonoff's Probabilistic Induction. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Ernesto Tarantino (EuroGP, 2006)

Automatic Classification of Handsegmented Image Parts with Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Ernesto Tarantino (EvoWorkshops, 2006)

Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EuroGP, 2007)

Satellite Image Registration by Distributed Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoWorkshops, 2007)

Multiobjective Differential Evolution for Mapping in a Grid Environment. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (HPCC, 2007)

Distributed Differential Evolution for the Registration of Remotely Sensed Images. - Ivanoe De Falco; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (PDP, 2007)

A Distributed Differential Evolution Approach for Mapping in a Grid Environment. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (PDP, 2007)

A Multiobjective Evolutionary Approach for Multisite Mapping on Grids. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (PPAM, 2007)

Facing classification problems with Particle Swarm Optimization. - Ivanoe De Falco; Antonio Della Cioppa; Ernesto Tarantino (Appl. Soft Comput., 2007)

Deterministic and Evolutionary Extraction of Delta-Lognormal Parameters: Performance Comparison. - Moussa Djioua; Réjean Plamondon; Antonio Della Cioppa; Angelo Marcelli (Int. J. Pattern Recognit. Artif. Intell., 2007)

Where Are the Niches? Dynamic Fitness Sharing. - Antonio Della Cioppa; Claudio De Stefano; Angelo Marcelli (IEEE Trans. Evol. Comput., 2007)

CTRNN Parameter Learning using Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Francesco Donnarumma; Domenico Maisto; Roberto Prevete; Ernesto Tarantino (ECAI, 2008)

Automatic Recognition of Hand Gestures with Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoWorkshops, 2008)

Differential Evolution as a viable tool for satellite image registration. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Ernesto Tarantino (Appl. Soft Comput., 2008)

Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case. - Ivan De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Artificial Evolution, 2009)

Extremal Optimization as a Viable Means for Mapping in Grids. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoWorkshops, 2009)

An innovative perspective on mapping in grids. - Ivanoe De Falco; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (BADS@ICAC, 2009)

A Distributed Bio-Inspired Method for Multisite Grid Mapping. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (Appl. Comput. Intell. Soft Comput., 2010)

A Model Based on Biological Invasions for Island Evolutionary Algorithms. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Artificial Evolution, 2011)

Speciation in evolutionary algorithms: adaptive species discovery. - Antonio Della Cioppa; Angelo Marcelli; Prisco Napoli (GECCO, 2011)

Biological invasion-inspired migration in distributed evolutionary algorithms. - Ivan De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Inf. Sci., 2012)

Adding Chaos to Differential Evolution for Range Image Registration. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoApplications, 2013)

Evolutionary approaches for pooling classifier ensembles: Performance evaluation. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (SoCPaR, 2013)

Impact of the Topology on the Performance of Distributed Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoApplications, 2014)

Using an adaptive invasion-based model for fast range image registration. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (GECCO, 2014)

An adaptive invasion-based model for distributed Differential Evolution. - Ivan De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Inf. Sci., 2014)

Identification of ferrite core inductors parameters by evolutionary algorithms. - Kateryna Stoyka; Giulia Di Capua; Antonio Della Cioppa; Nicola Femia; Giovanni Spagnuolo (INDIN, 2015)

An evolutionary approach to the dynamical reconfiguration of photovoltaic fields. - Pietro Luigi Carotenuto; Antonio Della Cioppa; Angelo Marcelli; Giovanni Spagnuolo (Neurocomputing, 2015)

An asynchronous adaptive multi-population model for distributed differential evolution. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (CEC, 2016)

A genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors. - Nicola Femia; Mario Migliaro; Antonio Della Cioppa (CEC, 2016)

Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (SITIS, 2016)

Exploiting diversity in an asynchronous migration model for distributed differential evolution. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (GECCO (Companion), 2017)

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling. - Ivanoe De Falco; Antonio Della Cioppa; Giuseppe A. Trunfio (GECCO (Companion), 2017)

Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (ISCC, 2017)

An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (HEALTHINF, 2018)

Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. - Ivanoe De Falco; Giuseppe De Pietro; Antonio Della Cioppa; Giovanna Sannino; Umberto Scafuri; Ernesto Tarantino (HEALTHINF, 2018)

Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes. - Ivanoe De Falco; Giuseppe De Pietro; Giovanna Sannino; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa; Giuseppe A. Trunfio (ISCC, 2018)

An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa; A. Giugliano; Tomas Koutny; Michal Krcma (ISCC, 2018)

Genetic Programming-based induction of a glucose-dynamics model for telemedicine. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (J. Netw. Comput. Appl., 2018)

De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels. - Tomas Koutny; Antonio Della Cioppa; Ivanoe De Falco; Ernesto Tarantino; Umberto Scafuri; Michal Krcma (CBMS, 2019)

Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. - Rosa Senatore; Antonio Della Cioppa; Angelo Marcelli (CBMS, 2019)

A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings. - Antonio Parziale; Antonio Della Cioppa; Rosa Senatore; Angelo Marcelli (ICIAP (1), 2019)

Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. - Tomas Koutny; Martin Ubl; Ivan De Falco; Ernesto Tarantino; Umberto Scafuri; Antonio Della Cioppa; Michal Krcma (ISCC, 2019)

A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. - Ivanoe De Falco; Antonio Della Cioppa; A. Giugliano; Angelo Marcelli; Tomas Koutny; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (Appl. Soft Comput., 2019)

Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes. - Ivanoe De Falco; Giuseppe De Pietro; Antonio Della Cioppa; Giovanna Sannino; Umberto Scafuri; Ernesto Tarantino (Future Gener. Comput. Syst., 2019)

Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. - Rosa Senatore; Antonio Della Cioppa; Angelo Marcelli (Inf., 2019)

Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization. - Ivanoe De Falco; Antonio Della Cioppa; Giuseppe A. Trunfio (Inf. Sci., 2019)

Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution. - Andrea Casella; Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (J. Parallel Distributed Comput., 2019)

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. - Leonardo Lucio Custode; Ciro Lucio Tecce; Illya Bakurov; Mauro Castelli; Antonio Della Cioppa; Leonardo Vanneschi (EvoApplications, 2020)

Learning to walk - reward relevance within an enhanced neuroevolution approach. - Ivan Colucci; Giuseppe Pellegrino; Antonio Della Cioppa; Angelo Marcelli (GECCO Companion, 2020)

A Grammatical Evolution Approach for Estimating Blood Glucose Levels. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa; Tomas Koutny; Michal Krcma (GLOBECOM (Workshops), 2020)

Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. - Federica Cavaliere; Antonio Della Cioppa; Angelo Marcelli; Antonio Parziale; Rosa Senatore (ISCC, 2020)

Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution. - Ivan De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (CoRR, 2020)

An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators. - Enrico Ferrentino; Antonio Della Cioppa; Angelo Marcelli; Pasquale Chiacchio (J. Intell. Robotic Syst., 2020)

Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach. - Ivanoe De Falco; Antonio Della Cioppa; Angelo Marcelli; Umberto Scafuri; Luca Stellaccio; Ernesto Tarantino (GECCO Companion, 2021)

Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl (ISCC, 2021)

Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. - Antonio Parziale; Rosa Senatore; Antonio Della Cioppa; Angelo Marcelli (Artif. Intell. Medicine, 2021)

Negative Selection Algorithm for Alzheimer's Diagnosis: Design and Performance Evaluation. - Giuseppe De Gregorio; Antonio Della Cioppa; Angelo Marcelli (EvoApplications, 2022)

Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting. - Antonio Parziale; Antonio Della Cioppa; Angelo Marcelli (ICIAP (1), 2022)

Mimicking the immune system to diagnose Parkinson's disease from handwriting. - Antonio Parziale; Antonio Della Cioppa; Angelo Marcelli (ICPR, 2022)

An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl (ISCC, 2022)

Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. - Martin Ubl; Tomas Koutny; Antonio Della Cioppa; Ivanoe De Falco; Ernesto Tarantino; Umberto Scafuri (Sensors, 2022)

Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. - Antonio Della Cioppa; Ivan De Falco; Tomas Koutny; Umberto Scafuri; Martin Ubl; Ernesto Tarantino (Appl. Soft Comput., 2023)

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Martin Ubl; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (Sensors, 2023)

Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease. - Antonio Della Cioppa; Angelo Marcelli; Antonio Iannaccone (CEC, 2024)

NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. - Leonardo Lucio Custode; Ivanoe De Falco; Antonio Della Cioppa; Giovanni Iacca; Umberto Scafuri (GECCO, 2024)

Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino (Biomed. Signal Process. Control., 2024)